---
_id: '17594'
abstract:
- lang: eng
  text: The origin of stellar-mass black hole mergers discovered through gravitational
    waves is being widely debated. Mergers in the disks of active galactic nuclei
    (AGNs) represent a promising source of origin, with possible observational clues
    in the gravitational-wave data. Beyond gravitational waves, a unique signature
    of AGN-assisted mergers is electromagnetic emission from the accreting black holes.
    Here we show that jets launched by accreting black holes merging in an AGN disk
    can be detected as peculiar transients by infrared, optical, and X-ray observatories.
    We further show that this emission mechanism can explain the possible associations
    between gravitational-wave events and the optical transient ZTF 19abanrhr and
    the proposed gamma-ray counterparts GW150914-GBM and LVT151012-GBM. We demonstrate
    how these associations, if genuine, can be used to reconstruct the properties
    of these events’ environments. Searching for infrared and X-ray counterparts to
    similar electromagnetic transients in the future, once host galaxies are localized
    by optical observations, could provide a smoking-gun signature of the mergers’
    AGN origin.
article_number: '13'
article_processing_charge: No
article_type: original
author:
- first_name: Hiromichi
  full_name: Tagawa, Hiromichi
  last_name: Tagawa
- first_name: Shigeo S.
  full_name: Kimura, Shigeo S.
  last_name: Kimura
- first_name: Zoltán
  full_name: Haiman, Zoltán
  id: 7c006e8c-cc0d-11ee-8322-cb904ef76f36
  last_name: Haiman
- first_name: Rosalba
  full_name: Perna, Rosalba
  last_name: Perna
- first_name: Imre
  full_name: Bartos, Imre
  last_name: Bartos
citation:
  ama: Tagawa H, Kimura SS, Haiman Z, Perna R, Bartos I. Observable signature of merging
    stellar-mass black holes in active galactic nuclei. <i>The Astrophysical Journal</i>.
    2023;950(1). doi:<a href="https://doi.org/10.3847/1538-4357/acc4bb">10.3847/1538-4357/acc4bb</a>
  apa: Tagawa, H., Kimura, S. S., Haiman, Z., Perna, R., &#38; Bartos, I. (2023).
    Observable signature of merging stellar-mass black holes in active galactic nuclei.
    <i>The Astrophysical Journal</i>. American Astronomical Society. <a href="https://doi.org/10.3847/1538-4357/acc4bb">https://doi.org/10.3847/1538-4357/acc4bb</a>
  chicago: Tagawa, Hiromichi, Shigeo S. Kimura, Zoltán Haiman, Rosalba Perna, and
    Imre Bartos. “Observable Signature of Merging Stellar-Mass Black Holes in Active
    Galactic Nuclei.” <i>The Astrophysical Journal</i>. American Astronomical Society,
    2023. <a href="https://doi.org/10.3847/1538-4357/acc4bb">https://doi.org/10.3847/1538-4357/acc4bb</a>.
  ieee: H. Tagawa, S. S. Kimura, Z. Haiman, R. Perna, and I. Bartos, “Observable signature
    of merging stellar-mass black holes in active galactic nuclei,” <i>The Astrophysical
    Journal</i>, vol. 950, no. 1. American Astronomical Society, 2023.
  ista: Tagawa H, Kimura SS, Haiman Z, Perna R, Bartos I. 2023. Observable signature
    of merging stellar-mass black holes in active galactic nuclei. The Astrophysical
    Journal. 950(1), 13.
  mla: Tagawa, Hiromichi, et al. “Observable Signature of Merging Stellar-Mass Black
    Holes in Active Galactic Nuclei.” <i>The Astrophysical Journal</i>, vol. 950,
    no. 1, 13, American Astronomical Society, 2023, doi:<a href="https://doi.org/10.3847/1538-4357/acc4bb">10.3847/1538-4357/acc4bb</a>.
  short: H. Tagawa, S.S. Kimura, Z. Haiman, R. Perna, I. Bartos, The Astrophysical
    Journal 950 (2023).
date_created: 2024-09-05T12:41:47Z
date_published: 2023-06-06T00:00:00Z
date_updated: 2024-09-23T12:36:58Z
day: '06'
doi: 10.3847/1538-4357/acc4bb
extern: '1'
fulldoi: https://doi.org/10.3847/1538-4357/acc4bb
intvolume: '       950'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.3847/1538-4357/acc4bb
month: '06'
oa: 1
oa_version: Published Version
publication: The Astrophysical Journal
publication_identifier:
  issn:
  - 0004-637X
  - 1538-4357
publication_status: published
publisher: American Astronomical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Observable signature of merging stellar-mass black holes in active galactic
  nuclei
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 950
year: '2023'
...
---
_id: '17602'
abstract:
- lang: eng
  text: Motivated by the increasing number of detections of merging black holes by
    LIGO-VIRGO-KAGRA, black hole (BH) binary mergers in the discs of active galactic
    nuclei (AGNs) is investigated as a possible merger channel. In this pathway, BH
    encounters in the gas disc form mutually bound BH binary systems through interaction
    with the gas in the disc and subsequently inspiral through gravitational torques
    induced by the local gas. To determine the feasibility of this merger pathway,
    we present the first three-dimensional global hydrodynamic simulations of the
    formation and evolution of a stellar-mass BH binaries AGN discs with three different
    AGN disc masses and five different initial radial separations. These 15 simulations
    show binary capture of prograde and retrograde binaries can be successful in a
    range of disc densities including cases well below that of a standard radiatively
    efficient alpha disc, identifying that the majority of these captured binaries
    are then subsequently hardened by the surrounding gas. The eccentricity evolution
    depends strongly on the orbital rotation where prograde binaries are governed
    by gravitational torques form their circumbinary mini disc, with eccentricities
    being damped, while for retrograde binaries the eccentricities are excited to
    >∼ 0.9 by accretion torques. In two cases, retrograde binaries ultimately undergo
    a close periapsis passage which results in a merger via gravitational waves after
    only a few thousand binary orbits. Thus, the merger time-scale can be far shorter
    than the AGN disc lifetime. These simulations support an efficient AGN disc merger
    pathway for BHs.
article_processing_charge: No
article_type: original
author:
- first_name: Connar
  full_name: Rowan, Connar
  last_name: Rowan
- first_name: Tjarda
  full_name: Boekholt, Tjarda
  last_name: Boekholt
- first_name: Bence
  full_name: Kocsis, Bence
  last_name: Kocsis
- first_name: Zoltán
  full_name: Haiman, Zoltán
  id: 7c006e8c-cc0d-11ee-8322-cb904ef76f36
  last_name: Haiman
citation:
  ama: 'Rowan C, Boekholt T, Kocsis B, Haiman Z. Black hole binary formation in AGN
    discs: from isolation to merger. <i>Monthly Notices of the Royal Astronomical
    Society</i>. 2023;524(2):2770-2796. doi:<a href="https://doi.org/10.1093/mnras/stad1926">10.1093/mnras/stad1926</a>'
  apa: 'Rowan, C., Boekholt, T., Kocsis, B., &#38; Haiman, Z. (2023). Black hole binary
    formation in AGN discs: from isolation to merger. <i>Monthly Notices of the Royal
    Astronomical Society</i>. Oxford University Press. <a href="https://doi.org/10.1093/mnras/stad1926">https://doi.org/10.1093/mnras/stad1926</a>'
  chicago: 'Rowan, Connar, Tjarda Boekholt, Bence Kocsis, and Zoltán Haiman. “Black
    Hole Binary Formation in AGN Discs: From Isolation to Merger.” <i>Monthly Notices
    of the Royal Astronomical Society</i>. Oxford University Press, 2023. <a href="https://doi.org/10.1093/mnras/stad1926">https://doi.org/10.1093/mnras/stad1926</a>.'
  ieee: 'C. Rowan, T. Boekholt, B. Kocsis, and Z. Haiman, “Black hole binary formation
    in AGN discs: from isolation to merger,” <i>Monthly Notices of the Royal Astronomical
    Society</i>, vol. 524, no. 2. Oxford University Press, pp. 2770–2796, 2023.'
  ista: 'Rowan C, Boekholt T, Kocsis B, Haiman Z. 2023. Black hole binary formation
    in AGN discs: from isolation to merger. Monthly Notices of the Royal Astronomical
    Society. 524(2), 2770–2796.'
  mla: 'Rowan, Connar, et al. “Black Hole Binary Formation in AGN Discs: From Isolation
    to Merger.” <i>Monthly Notices of the Royal Astronomical Society</i>, vol. 524,
    no. 2, Oxford University Press, 2023, pp. 2770–96, doi:<a href="https://doi.org/10.1093/mnras/stad1926">10.1093/mnras/stad1926</a>.'
  short: C. Rowan, T. Boekholt, B. Kocsis, Z. Haiman, Monthly Notices of the Royal
    Astronomical Society 524 (2023) 2770–2796.
date_created: 2024-09-05T13:09:11Z
date_published: 2023-07-03T00:00:00Z
date_updated: 2024-09-23T13:42:19Z
day: '03'
doi: 10.1093/mnras/stad1926
extern: '1'
fulldoi: https://doi.org/10.1093/mnras/stad1926
intvolume: '       524'
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1093/mnras/stad1926
month: '07'
oa: 1
oa_version: Published Version
page: 2770-2796
publication: Monthly Notices of the Royal Astronomical Society
publication_identifier:
  issn:
  - 0035-8711
  - 1365-2966
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Black hole binary formation in AGN discs: from isolation to merger'
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 524
year: '2023'
...
---
_id: '17606'
abstract:
- lang: eng
  text: We present the first results from the JWST ASPIRE program (A SPectroscopic
    survey of biased halos In the Reionization Era). This program represents an imaging
    and spectroscopic survey of 25 reionization-era quasars and their environments
    by utilizing the unprecedented capabilities of NIRCam Wide Field Slitless Spectroscopy
    (WFSS) mode. ASPIRE will deliver the largest (∼280 arcmin^2) galaxy redshift survey
    at 3-4 μm among JWST Cycle-1 programs and provide extensive legacy values for
    studying the formation of the earliest supermassive black holes (SMBHs), the assembly
    of galaxies, early metal enrichment, and cosmic reionization. In this first ASPIRE
    paper, we report the discovery of a filamentary structure traced by the luminous
    quasar J0305-3150 and ten [OIII] emitters at z=6.6. This structure has a 3D galaxy
    overdensity of δgal=12.6 over 637 cMpc3, one of the most overdense structures
    known in the early universe, and could eventually evolve into a massive galaxy
    cluster. Together with existing VLT/MUSE and ALMA observations of this field,
    our JWST observations reveal that J0305-3150 traces a complex environment where
    both UV-bright and dusty galaxies are present, and indicate that the early evolution
    of galaxies around the quasar is not simultaneous. In addition, we discovered
    31 [OIII] emitters in this field at other redshifts, 5.3<z<6.7, with half of them
    situated at z∼5.4 and z∼6.2. This indicates that star-forming galaxies, such as
    [OIII] emitters, are generally clustered at high redshifts. These discoveries
    demonstrate the unparalleled redshift survey capabilities of NIRCam WFSS and the
    potential of the full ASPIRE survey dataset.
article_number: L4
article_processing_charge: No
article_type: original
author:
- first_name: Feige
  full_name: Wang, Feige
  last_name: Wang
- first_name: Jinyi
  full_name: Yang, Jinyi
  last_name: Yang
- first_name: Joseph F.
  full_name: Hennawi, Joseph F.
  last_name: Hennawi
- first_name: Xiaohui
  full_name: Fan, Xiaohui
  last_name: Fan
- first_name: Fengwu
  full_name: Sun, Fengwu
  last_name: Sun
- first_name: Jaclyn B.
  full_name: Champagne, Jaclyn B.
  last_name: Champagne
- first_name: Tiago
  full_name: Costa, Tiago
  last_name: Costa
- first_name: Melanie
  full_name: Habouzit, Melanie
  last_name: Habouzit
- first_name: Ryan
  full_name: Endsley, Ryan
  last_name: Endsley
- first_name: Zihao
  full_name: Li, Zihao
  last_name: Li
- first_name: Xiaojing
  full_name: Lin, Xiaojing
  last_name: Lin
- first_name: Romain A.
  full_name: Meyer, Romain A.
  last_name: Meyer
- first_name: Jan–Torge
  full_name: Schindler, Jan–Torge
  last_name: Schindler
- first_name: Yunjing
  full_name: Wu, Yunjing
  last_name: Wu
- first_name: Eduardo
  full_name: Bañados, Eduardo
  last_name: Bañados
- first_name: Aaron J.
  full_name: Barth, Aaron J.
  last_name: Barth
- first_name: Aklant K.
  full_name: Bhowmick, Aklant K.
  last_name: Bhowmick
- first_name: Rebekka
  full_name: Bieri, Rebekka
  last_name: Bieri
- first_name: Laura
  full_name: Blecha, Laura
  last_name: Blecha
- first_name: Sarah
  full_name: Bosman, Sarah
  last_name: Bosman
- first_name: Zheng
  full_name: Cai, Zheng
  last_name: Cai
- first_name: Luis
  full_name: Colina, Luis
  last_name: Colina
- first_name: Thomas
  full_name: Connor, Thomas
  last_name: Connor
- first_name: Frederick B.
  full_name: Davies, Frederick B.
  last_name: Davies
- first_name: Roberto
  full_name: Decarli, Roberto
  last_name: Decarli
- first_name: Gisella
  full_name: De Rosa, Gisella
  last_name: De Rosa
- first_name: Alyssa B.
  full_name: Drake, Alyssa B.
  last_name: Drake
- first_name: Eiichi
  full_name: Egami, Eiichi
  last_name: Egami
- first_name: Anna-Christina
  full_name: Eilers, Anna-Christina
  last_name: Eilers
- first_name: Analis E.
  full_name: Evans, Analis E.
  last_name: Evans
- first_name: Emanuele Paolo
  full_name: Farina, Emanuele Paolo
  last_name: Farina
- first_name: Zoltán
  full_name: Haiman, Zoltán
  id: 7c006e8c-cc0d-11ee-8322-cb904ef76f36
  last_name: Haiman
- first_name: Linhua
  full_name: Jiang, Linhua
  last_name: Jiang
- first_name: Xiangyu
  full_name: Jin, Xiangyu
  last_name: Jin
- first_name: Hyunsung D.
  full_name: Jun, Hyunsung D.
  last_name: Jun
- first_name: Koki
  full_name: Kakiichi, Koki
  last_name: Kakiichi
- first_name: Yana
  full_name: Khusanova, Yana
  last_name: Khusanova
- first_name: Girish
  full_name: Kulkarni, Girish
  last_name: Kulkarni
- first_name: Mingyu
  full_name: Li, Mingyu
  last_name: Li
- first_name: Weizhe
  full_name: Liu, Weizhe
  last_name: Liu
- first_name: Federica
  full_name: Loiacono, Federica
  last_name: Loiacono
- first_name: Alessandro
  full_name: Lupi, Alessandro
  last_name: Lupi
- first_name: Chiara
  full_name: Mazzucchelli, Chiara
  last_name: Mazzucchelli
- first_name: Masafusa
  full_name: Onoue, Masafusa
  last_name: Onoue
- first_name: Maria A.
  full_name: Pudoka, Maria A.
  last_name: Pudoka
- first_name: Sofía
  full_name: Rojas-Ruiz, Sofía
  last_name: Rojas-Ruiz
- first_name: Yue
  full_name: Shen, Yue
  last_name: Shen
- first_name: Michael A.
  full_name: Strauss, Michael A.
  last_name: Strauss
- first_name: Wei Leong
  full_name: Tee, Wei Leong
  last_name: Tee
- first_name: Benny
  full_name: Trakhtenbrot, Benny
  last_name: Trakhtenbrot
- first_name: Maxime
  full_name: Trebitsch, Maxime
  last_name: Trebitsch
- first_name: Bram
  full_name: Venemans, Bram
  last_name: Venemans
- first_name: Marta
  full_name: Volonteri, Marta
  last_name: Volonteri
- first_name: Fabian
  full_name: Walter, Fabian
  last_name: Walter
- first_name: Zhang-Liang
  full_name: Xie, Zhang-Liang
  last_name: Xie
- first_name: Minghao
  full_name: Yue, Minghao
  last_name: Yue
- first_name: Haowen
  full_name: Zhang, Haowen
  last_name: Zhang
- first_name: Huanian
  full_name: Zhang, Huanian
  last_name: Zhang
- first_name: Siwei
  full_name: Zou, Siwei
  last_name: Zou
citation:
  ama: 'Wang F, Yang J, Hennawi JF, et al. A SPectroscopic survey of biased halos
    in the reionization era (ASPIRE): JWST reveals a filamentary structure around
    a z = 6.61 Quasar. <i>The Astrophysical Journal Letters</i>. 2023;951(1). doi:<a
    href="https://doi.org/10.3847/2041-8213/accd6f">10.3847/2041-8213/accd6f</a>'
  apa: 'Wang, F., Yang, J., Hennawi, J. F., Fan, X., Sun, F., Champagne, J. B., …
    Zou, S. (2023). A SPectroscopic survey of biased halos in the reionization era
    (ASPIRE): JWST reveals a filamentary structure around a z = 6.61 Quasar. <i>The
    Astrophysical Journal Letters</i>. American Astronomical Society. <a href="https://doi.org/10.3847/2041-8213/accd6f">https://doi.org/10.3847/2041-8213/accd6f</a>'
  chicago: 'Wang, Feige, Jinyi Yang, Joseph F. Hennawi, Xiaohui Fan, Fengwu Sun, Jaclyn
    B. Champagne, Tiago Costa, et al. “A SPectroscopic Survey of Biased Halos in the
    Reionization Era (ASPIRE): JWST Reveals a Filamentary Structure around a z = 6.61
    Quasar.” <i>The Astrophysical Journal Letters</i>. American Astronomical Society,
    2023. <a href="https://doi.org/10.3847/2041-8213/accd6f">https://doi.org/10.3847/2041-8213/accd6f</a>.'
  ieee: 'F. Wang <i>et al.</i>, “A SPectroscopic survey of biased halos in the reionization
    era (ASPIRE): JWST reveals a filamentary structure around a z = 6.61 Quasar,”
    <i>The Astrophysical Journal Letters</i>, vol. 951, no. 1. American Astronomical
    Society, 2023.'
  ista: 'Wang F, Yang J, Hennawi JF, Fan X, Sun F, Champagne JB, Costa T, Habouzit
    M, Endsley R, Li Z, Lin X, Meyer RA, Schindler J, Wu Y, Bañados E, Barth AJ, Bhowmick
    AK, Bieri R, Blecha L, Bosman S, Cai Z, Colina L, Connor T, Davies FB, Decarli
    R, De Rosa G, Drake AB, Egami E, Eilers A-C, Evans AE, Farina EP, Haiman Z, Jiang
    L, Jin X, Jun HD, Kakiichi K, Khusanova Y, Kulkarni G, Li M, Liu W, Loiacono F,
    Lupi A, Mazzucchelli C, Onoue M, Pudoka MA, Rojas-Ruiz S, Shen Y, Strauss MA,
    Tee WL, Trakhtenbrot B, Trebitsch M, Venemans B, Volonteri M, Walter F, Xie Z-L,
    Yue M, Zhang H, Zhang H, Zou S. 2023. A SPectroscopic survey of biased halos in
    the reionization era (ASPIRE): JWST reveals a filamentary structure around a z
    = 6.61 Quasar. The Astrophysical Journal Letters. 951(1), L4.'
  mla: 'Wang, Feige, et al. “A SPectroscopic Survey of Biased Halos in the Reionization
    Era (ASPIRE): JWST Reveals a Filamentary Structure around a z = 6.61 Quasar.”
    <i>The Astrophysical Journal Letters</i>, vol. 951, no. 1, L4, American Astronomical
    Society, 2023, doi:<a href="https://doi.org/10.3847/2041-8213/accd6f">10.3847/2041-8213/accd6f</a>.'
  short: F. Wang, J. Yang, J.F. Hennawi, X. Fan, F. Sun, J.B. Champagne, T. Costa,
    M. Habouzit, R. Endsley, Z. Li, X. Lin, R.A. Meyer, J. Schindler, Y. Wu, E. Bañados,
    A.J. Barth, A.K. Bhowmick, R. Bieri, L. Blecha, S. Bosman, Z. Cai, L. Colina,
    T. Connor, F.B. Davies, R. Decarli, G. De Rosa, A.B. Drake, E. Egami, A.-C. Eilers,
    A.E. Evans, E.P. Farina, Z. Haiman, L. Jiang, X. Jin, H.D. Jun, K. Kakiichi, Y.
    Khusanova, G. Kulkarni, M. Li, W. Liu, F. Loiacono, A. Lupi, C. Mazzucchelli,
    M. Onoue, M.A. Pudoka, S. Rojas-Ruiz, Y. Shen, M.A. Strauss, W.L. Tee, B. Trakhtenbrot,
    M. Trebitsch, B. Venemans, M. Volonteri, F. Walter, Z.-L. Xie, M. Yue, H. Zhang,
    H. Zhang, S. Zou, The Astrophysical Journal Letters 951 (2023).
date_created: 2024-09-05T13:14:46Z
date_published: 2023-06-29T00:00:00Z
date_updated: 2024-09-23T14:08:58Z
day: '29'
doi: 10.3847/2041-8213/accd6f
extern: '1'
fulldoi: https://doi.org/10.3847/2041-8213/accd6f
intvolume: '       951'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.3847/2041-8213/accd6f
month: '06'
oa: 1
oa_version: Published Version
publication: The Astrophysical Journal Letters
publication_identifier:
  issn:
  - 2041-8205
  - 2041-8213
publication_status: published
publisher: American Astronomical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'A SPectroscopic survey of biased halos in the reionization era (ASPIRE): JWST
  reveals a filamentary structure around a z = 6.61 Quasar'
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 951
year: '2023'
...
---
_id: '17611'
abstract:
- lang: eng
  text: The project MOMO (Multiwavelength Observations and Modelling of OJ 287) was
    set up to test predictions of binary supermassive black hole (SMBH) scenarios
    and to understand disc–jet physics of the blazar OJ 287. After a correction, the
    precessing binary (PB) SMBH model predicted the next main outburst of OJ 287 in
    2022 October, making the outburst well observable and the model testable. We have
    densely covered this period in our ongoing multifrequency radio, optical, ultraviolet
    (UV), and X-ray monitoring. The predicted outburst was not detected. Instead,
    OJ 287 was at low optical–UV emission levels, declining further into November.
    The predicted thermal bremsstrahlung spectrum was not observed either, at any
    epoch. Further, applying scaling relations, we estimate an SMBH mass of OJ 287
    of 108 M⊙. The latest in a sequence of deep low states that recur every 1–2 yr
    is used to determine an upper limit on the Eddington ratio and on the accretion-disc
    luminosity. This limit is at least a factor of 10 lower than required by the PB
    model with its massive primary SMBH of &amp;gt;1010 M⊙. All these results favour
    alternative binary SMBH models of OJ 287 that require neither strong orbital precession
    nor a very large mass of the primary SMBH.
article_processing_charge: No
article_type: original
author:
- first_name: S
  full_name: Komossa, S
  last_name: Komossa
- first_name: D
  full_name: Grupe, D
  last_name: Grupe
- first_name: A
  full_name: Kraus, A
  last_name: Kraus
- first_name: M A
  full_name: Gurwell, M A
  last_name: Gurwell
- first_name: Zoltán
  full_name: Haiman, Zoltán
  id: 7c006e8c-cc0d-11ee-8322-cb904ef76f36
  last_name: Haiman
- first_name: F K
  full_name: Liu, F K
  last_name: Liu
- first_name: A
  full_name: Tchekhovskoy, A
  last_name: Tchekhovskoy
- first_name: L C
  full_name: Gallo, L C
  last_name: Gallo
- first_name: M
  full_name: Berton, M
  last_name: Berton
- first_name: R
  full_name: Blandford, R
  last_name: Blandford
- first_name: J L
  full_name: Gómez, J L
  last_name: Gómez
- first_name: A G
  full_name: Gonzalez, A G
  last_name: Gonzalez
citation:
  ama: 'Komossa S, Grupe D, Kraus A, et al. Absence of the predicted 2022 October
    outburst of OJ 287 and implications for binary SMBH scenarios. <i>Monthly Notices
    of the Royal Astronomical Society: Letters</i>. 2023;522(1):L84-L88. doi:<a href="https://doi.org/10.1093/mnrasl/slad016">10.1093/mnrasl/slad016</a>'
  apa: 'Komossa, S., Grupe, D., Kraus, A., Gurwell, M. A., Haiman, Z., Liu, F. K.,
    … Gonzalez, A. G. (2023). Absence of the predicted 2022 October outburst of OJ
    287 and implications for binary SMBH scenarios. <i>Monthly Notices of the Royal
    Astronomical Society: Letters</i>. Oxford University Press. <a href="https://doi.org/10.1093/mnrasl/slad016">https://doi.org/10.1093/mnrasl/slad016</a>'
  chicago: 'Komossa, S, D Grupe, A Kraus, M A Gurwell, Zoltán Haiman, F K Liu, A Tchekhovskoy,
    et al. “Absence of the Predicted 2022 October Outburst of OJ 287 and Implications
    for Binary SMBH Scenarios.” <i>Monthly Notices of the Royal Astronomical Society:
    Letters</i>. Oxford University Press, 2023. <a href="https://doi.org/10.1093/mnrasl/slad016">https://doi.org/10.1093/mnrasl/slad016</a>.'
  ieee: 'S. Komossa <i>et al.</i>, “Absence of the predicted 2022 October outburst
    of OJ 287 and implications for binary SMBH scenarios,” <i>Monthly Notices of the
    Royal Astronomical Society: Letters</i>, vol. 522, no. 1. Oxford University Press,
    pp. L84–L88, 2023.'
  ista: 'Komossa S, Grupe D, Kraus A, Gurwell MA, Haiman Z, Liu FK, Tchekhovskoy A,
    Gallo LC, Berton M, Blandford R, Gómez JL, Gonzalez AG. 2023. Absence of the predicted
    2022 October outburst of OJ 287 and implications for binary SMBH scenarios. Monthly
    Notices of the Royal Astronomical Society: Letters. 522(1), L84–L88.'
  mla: 'Komossa, S., et al. “Absence of the Predicted 2022 October Outburst of OJ
    287 and Implications for Binary SMBH Scenarios.” <i>Monthly Notices of the Royal
    Astronomical Society: Letters</i>, vol. 522, no. 1, Oxford University Press, 2023,
    pp. L84–88, doi:<a href="https://doi.org/10.1093/mnrasl/slad016">10.1093/mnrasl/slad016</a>.'
  short: 'S. Komossa, D. Grupe, A. Kraus, M.A. Gurwell, Z. Haiman, F.K. Liu, A. Tchekhovskoy,
    L.C. Gallo, M. Berton, R. Blandford, J.L. Gómez, A.G. Gonzalez, Monthly Notices
    of the Royal Astronomical Society: Letters 522 (2023) L84–L88.'
date_created: 2024-09-05T13:23:29Z
date_published: 2023-02-23T00:00:00Z
date_updated: 2024-09-24T07:22:28Z
day: '23'
doi: 10.1093/mnrasl/slad016
extern: '1'
fulldoi: https://doi.org/10.1093/mnrasl/slad016
intvolume: '       522'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1093/mnrasl/slad016
month: '02'
oa: 1
oa_version: Published Version
page: L84-L88
publication: 'Monthly Notices of the Royal Astronomical Society: Letters'
publication_identifier:
  issn:
  - 1745-3925
  - 1745-3933
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Absence of the predicted 2022 October outburst of OJ 287 and implications for
  binary SMBH scenarios
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 522
year: '2023'
...
---
OA_type: closed access
_id: '17860'
abstract:
- lang: eng
  text: Radicals are unique molecular systems for applications in electronic devices
    due to their open-shell electronic structures. Radicals can function as good electrical
    conductors and switches in molecular circuits while also holding great promise
    in the field of molecular spintronics. However, it is both challenging to create
    stable, persistent radicals and to understand their properties in molecular junctions.
    The goal of this Perspective is to address this dual challenge by providing design
    principles for the synthesis of stable radicals relevant to molecular junctions,
    as well as offering current insight into the electronic properties of radicals
    in single-molecule devices. By exploring both the chemical and physical properties
    of established radical systems, we will facilitate increased exploration and development
    of radical-based molecular systems.
article_processing_charge: No
article_type: original
author:
- first_name: Liang
  full_name: Li, Liang
  last_name: Li
- first_name: Claudia R.
  full_name: Prindle, Claudia R.
  last_name: Prindle
- first_name: Wanzhuo
  full_name: Shi, Wanzhuo
  last_name: Shi
- first_name: Colin
  full_name: Nuckolls, Colin
  last_name: Nuckolls
- first_name: Latha
  full_name: Venkataraman, Latha
  id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf
  last_name: Venkataraman
  orcid: 0000-0002-6957-6089
citation:
  ama: Li L, Prindle CR, Shi W, Nuckolls C, Venkataraman L. Radical single-molecule
    junctions. <i>Journal of the American Chemical Society</i>. 2023;145(33):18182-18204.
    doi:<a href="https://doi.org/10.1021/jacs.3c04487">10.1021/jacs.3c04487</a>
  apa: Li, L., Prindle, C. R., Shi, W., Nuckolls, C., &#38; Venkataraman, L. (2023).
    Radical single-molecule junctions. <i>Journal of the American Chemical Society</i>.
    American Chemical Society. <a href="https://doi.org/10.1021/jacs.3c04487">https://doi.org/10.1021/jacs.3c04487</a>
  chicago: Li, Liang, Claudia R. Prindle, Wanzhuo Shi, Colin Nuckolls, and Latha Venkataraman.
    “Radical Single-Molecule Junctions.” <i>Journal of the American Chemical Society</i>.
    American Chemical Society, 2023. <a href="https://doi.org/10.1021/jacs.3c04487">https://doi.org/10.1021/jacs.3c04487</a>.
  ieee: L. Li, C. R. Prindle, W. Shi, C. Nuckolls, and L. Venkataraman, “Radical single-molecule
    junctions,” <i>Journal of the American Chemical Society</i>, vol. 145, no. 33.
    American Chemical Society, pp. 18182–18204, 2023.
  ista: Li L, Prindle CR, Shi W, Nuckolls C, Venkataraman L. 2023. Radical single-molecule
    junctions. Journal of the American Chemical Society. 145(33), 18182–18204.
  mla: Li, Liang, et al. “Radical Single-Molecule Junctions.” <i>Journal of the American
    Chemical Society</i>, vol. 145, no. 33, American Chemical Society, 2023, pp. 18182–204,
    doi:<a href="https://doi.org/10.1021/jacs.3c04487">10.1021/jacs.3c04487</a>.
  short: L. Li, C.R. Prindle, W. Shi, C. Nuckolls, L. Venkataraman, Journal of the
    American Chemical Society 145 (2023) 18182–18204.
date_created: 2024-09-06T12:49:27Z
date_published: 2023-09-23T00:00:00Z
date_updated: 2025-12-10T12:29:11Z
day: '23'
doi: 10.1021/jacs.3c04487
extern: '1'
external_id:
  pmid:
  - '37555594'
fulldoi: https://doi.org/10.1021/jacs.3c04487
intvolume: '       145'
issue: '33'
language:
- iso: eng
month: '09'
oa_version: None
page: 18182-18204
pmid: 1
publication: Journal of the American Chemical Society
publication_identifier:
  eissn:
  - 1520-5126
  issn:
  - 0002-7863
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Radical single-molecule junctions
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 145
year: '2023'
...
---
OA_type: closed access
_id: '17861'
abstract:
- lang: eng
  text: 'Molecular one-dimensional topological insulators (1D TIs), described by the
    Su-Schrieffer-Heeger (SSH) model, are a new class of molecular electronic wires
    whose low-energy topological edge states endow them with high electrical conductivity.
    However, when these 1D TIs become long, the high conductance is not sustained
    because the coupling between the edge states decreases with increasing length.
    Here, we present a new design where we connect multiple short 1D SSH TI units
    linearly or in a cycle to create molecular wires with a continuous topological
    state density. Using a tight-binding method, we show that the linear system gives
    a length-independent conductance. The cyclic systems show an interesting odd-even
    effect, with unit transmission in the topological limit, but zero transmission
    in the trivial limit. Furthermore, based on our calculations, we predict that
    these systems can support resonant transmission with a quantum of conductance.
    We can further expand these results to phenylene-based linear and cyclic 1D TI
    systems and confirm the length-dependent conductance in such systems. '
article_processing_charge: No
article_type: original
author:
- first_name: Liang
  full_name: Li, Liang
  last_name: Li
- first_name: Colin
  full_name: Nuckolls, Colin
  last_name: Nuckolls
- first_name: Latha
  full_name: Venkataraman, Latha
  id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf
  last_name: Venkataraman
  orcid: 0000-0002-6957-6089
citation:
  ama: Li L, Nuckolls C, Venkataraman L. Designing long and highly conducting molecular
    wires with multiple nontrivial topological states. <i>The Journal of Physical
    Chemistry Letters</i>. 2023;14(22):5141-5147. doi:<a href="https://doi.org/10.1021/acs.jpclett.3c01081">10.1021/acs.jpclett.3c01081</a>
  apa: Li, L., Nuckolls, C., &#38; Venkataraman, L. (2023). Designing long and highly
    conducting molecular wires with multiple nontrivial topological states. <i>The
    Journal of Physical Chemistry Letters</i>. American Chemical Society. <a href="https://doi.org/10.1021/acs.jpclett.3c01081">https://doi.org/10.1021/acs.jpclett.3c01081</a>
  chicago: Li, Liang, Colin Nuckolls, and Latha Venkataraman. “Designing Long and
    Highly Conducting Molecular Wires with Multiple Nontrivial Topological States.”
    <i>The Journal of Physical Chemistry Letters</i>. American Chemical Society, 2023.
    <a href="https://doi.org/10.1021/acs.jpclett.3c01081">https://doi.org/10.1021/acs.jpclett.3c01081</a>.
  ieee: L. Li, C. Nuckolls, and L. Venkataraman, “Designing long and highly conducting
    molecular wires with multiple nontrivial topological states,” <i>The Journal of
    Physical Chemistry Letters</i>, vol. 14, no. 22. American Chemical Society, pp.
    5141–5147, 2023.
  ista: Li L, Nuckolls C, Venkataraman L. 2023. Designing long and highly conducting
    molecular wires with multiple nontrivial topological states. The Journal of Physical
    Chemistry Letters. 14(22), 5141–5147.
  mla: Li, Liang, et al. “Designing Long and Highly Conducting Molecular Wires with
    Multiple Nontrivial Topological States.” <i>The Journal of Physical Chemistry
    Letters</i>, vol. 14, no. 22, American Chemical Society, 2023, pp. 5141–47, doi:<a
    href="https://doi.org/10.1021/acs.jpclett.3c01081">10.1021/acs.jpclett.3c01081</a>.
  short: L. Li, C. Nuckolls, L. Venkataraman, The Journal of Physical Chemistry Letters
    14 (2023) 5141–5147.
date_created: 2024-09-06T12:50:23Z
date_published: 2023-05-30T00:00:00Z
date_updated: 2025-01-03T11:36:41Z
day: '30'
doi: 10.1021/acs.jpclett.3c01081
extern: '1'
external_id:
  pmid:
  - '37252687'
fulldoi: https://doi.org/10.1021/acs.jpclett.3c01081
intvolume: '        14'
issue: '22'
language:
- iso: eng
month: '05'
oa_version: None
page: 5141-5147
pmid: 1
publication: The Journal of Physical Chemistry Letters
publication_identifier:
  eissn:
  - 1948-7185
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Designing long and highly conducting molecular wires with multiple nontrivial
  topological states
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 14
year: '2023'
...
---
_id: '17862'
abstract:
- lang: eng
  text: Electric field acceleration of alkyl hydroperoxide activation to acylate amines
    in the scanning tunneling microscope-based break-junction is reported. Alkyl hydroperoxide
    mixtures, generated from hydrocarbon autoxidation in air, were found to be competent
    reagents for the functionalization of gold surfaces. Intermolecular coupling on
    the surface in the presence of amines was observed, yielding normal alkylamides.
    This novel mode of alkyl hydroperoxide activation to generate acylium equivalents
    was found to be responsive to the magnitude of the bias in the break junction,
    indicating an electric field influence on this novel reactivity.
article_processing_charge: No
article_type: original
author:
- first_name: Xiye
  full_name: Wang, Xiye
  last_name: Wang
- first_name: Boyuan
  full_name: Zhang, Boyuan
  last_name: Zhang
- first_name: Brandon
  full_name: Fowler, Brandon
  last_name: Fowler
- first_name: Latha
  full_name: Venkataraman, Latha
  id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf
  last_name: Venkataraman
  orcid: 0000-0002-6957-6089
- first_name: Tomislav
  full_name: Rovis, Tomislav
  last_name: Rovis
citation:
  ama: Wang X, Zhang B, Fowler B, Venkataraman L, Rovis T. Alkane solvent-derived
    acylation reaction driven by electric fields. <i>Journal of the American Chemical
    Society</i>. 2023;145(22):11903-11906. doi:<a href="https://doi.org/10.1021/jacs.3c02064">10.1021/jacs.3c02064</a>
  apa: Wang, X., Zhang, B., Fowler, B., Venkataraman, L., &#38; Rovis, T. (2023).
    Alkane solvent-derived acylation reaction driven by electric fields. <i>Journal
    of the American Chemical Society</i>. American Chemical Society. <a href="https://doi.org/10.1021/jacs.3c02064">https://doi.org/10.1021/jacs.3c02064</a>
  chicago: Wang, Xiye, Boyuan Zhang, Brandon Fowler, Latha Venkataraman, and Tomislav
    Rovis. “Alkane Solvent-Derived Acylation Reaction Driven by Electric Fields.”
    <i>Journal of the American Chemical Society</i>. American Chemical Society, 2023.
    <a href="https://doi.org/10.1021/jacs.3c02064">https://doi.org/10.1021/jacs.3c02064</a>.
  ieee: X. Wang, B. Zhang, B. Fowler, L. Venkataraman, and T. Rovis, “Alkane solvent-derived
    acylation reaction driven by electric fields,” <i>Journal of the American Chemical
    Society</i>, vol. 145, no. 22. American Chemical Society, pp. 11903–11906, 2023.
  ista: Wang X, Zhang B, Fowler B, Venkataraman L, Rovis T. 2023. Alkane solvent-derived
    acylation reaction driven by electric fields. Journal of the American Chemical
    Society. 145(22), 11903–11906.
  mla: Wang, Xiye, et al. “Alkane Solvent-Derived Acylation Reaction Driven by Electric
    Fields.” <i>Journal of the American Chemical Society</i>, vol. 145, no. 22, American
    Chemical Society, 2023, pp. 11903–06, doi:<a href="https://doi.org/10.1021/jacs.3c02064">10.1021/jacs.3c02064</a>.
  short: X. Wang, B. Zhang, B. Fowler, L. Venkataraman, T. Rovis, Journal of the American
    Chemical Society 145 (2023) 11903–11906.
date_created: 2024-09-06T12:55:12Z
date_published: 2023-05-25T00:00:00Z
date_updated: 2024-11-25T12:29:49Z
day: '25'
doi: 10.1021/jacs.3c02064
extern: '1'
external_id:
  pmid:
  - '37227235'
fulldoi: https://doi.org/10.1021/jacs.3c02064
intvolume: '       145'
issue: '22'
language:
- iso: eng
month: '05'
oa_version: None
page: 11903-11906
pmid: 1
publication: Journal of the American Chemical Society
publication_identifier:
  eissn:
  - 1520-5126
  issn:
  - 0002-7863
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Alkane solvent-derived acylation reaction driven by electric fields
type: journal_article
user_id: 68b8ca59-c5b3-11ee-8790-cd641c68093d
volume: 145
year: '2023'
...
---
OA_place: publisher
OA_type: gold
_id: '17863'
abstract:
- lang: eng
  text: Understanding and tuning charge transport over a single molecule is a fundamental
    topic in molecular electronics. Single-molecule junctions composed of individual
    molecules attached to two electrodes are the most common components built for
    single-molecule charge transport studies. During the past two decades, rapid technical
    and theoretical advances in single-molecule junctions have increased our understanding
    of the conductance properties and functions of molecular devices. In this perspective
    article, we introduce the basic principles of charge transport in single-molecule
    junctions, then give an overview of recent progress in modulating single-molecule
    transport through external stimuli such as electric field and potential, light,
    mechanical force, heat, and chemical environment. Lastly, we discuss challenges
    and offer views on future developments in molecular electronics.
article_number: '100115'
article_processing_charge: No
article_type: original
author:
- first_name: Qi
  full_name: Zou, Qi
  last_name: Zou
- first_name: Jin
  full_name: Qiu, Jin
  last_name: Qiu
- first_name: Yaping
  full_name: Zang, Yaping
  last_name: Zang
- first_name: He
  full_name: Tian, He
  last_name: Tian
- first_name: Latha
  full_name: Venkataraman, Latha
  id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf
  last_name: Venkataraman
  orcid: 0000-0002-6957-6089
citation:
  ama: Zou Q, Qiu J, Zang Y, Tian H, Venkataraman L. Modulating single-molecule charge
    transport through external stimulus. <i>eScience</i>. 2023;3(3). doi:<a href="https://doi.org/10.1016/j.esci.2023.100115">10.1016/j.esci.2023.100115</a>
  apa: Zou, Q., Qiu, J., Zang, Y., Tian, H., &#38; Venkataraman, L. (2023). Modulating
    single-molecule charge transport through external stimulus. <i>EScience</i>. Elsevier
    BV. <a href="https://doi.org/10.1016/j.esci.2023.100115">https://doi.org/10.1016/j.esci.2023.100115</a>
  chicago: Zou, Qi, Jin Qiu, Yaping Zang, He Tian, and Latha Venkataraman. “Modulating
    Single-Molecule Charge Transport through External Stimulus.” <i>EScience</i>.
    Elsevier BV, 2023. <a href="https://doi.org/10.1016/j.esci.2023.100115">https://doi.org/10.1016/j.esci.2023.100115</a>.
  ieee: Q. Zou, J. Qiu, Y. Zang, H. Tian, and L. Venkataraman, “Modulating single-molecule
    charge transport through external stimulus,” <i>eScience</i>, vol. 3, no. 3. Elsevier
    BV, 2023.
  ista: Zou Q, Qiu J, Zang Y, Tian H, Venkataraman L. 2023. Modulating single-molecule
    charge transport through external stimulus. eScience. 3(3), 100115.
  mla: Zou, Qi, et al. “Modulating Single-Molecule Charge Transport through External
    Stimulus.” <i>EScience</i>, vol. 3, no. 3, 100115, Elsevier BV, 2023, doi:<a href="https://doi.org/10.1016/j.esci.2023.100115">10.1016/j.esci.2023.100115</a>.
  short: Q. Zou, J. Qiu, Y. Zang, H. Tian, L. Venkataraman, EScience 3 (2023).
date_created: 2024-09-06T12:56:54Z
date_published: 2023-05-01T00:00:00Z
date_updated: 2024-11-25T12:41:14Z
doi: 10.1016/j.esci.2023.100115
extern: '1'
fulldoi: https://doi.org/10.1016/j.esci.2023.100115
intvolume: '         3'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.sciencedirect.com/science/article/pii/S2667141723000332?via%3Dihub
month: '05'
oa: 1
oa_version: Published Version
publication: eScience
publication_identifier:
  eissn:
  - 2667-1417
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
scopus_import: '1'
status: public
title: Modulating single-molecule charge transport through external stimulus
type: journal_article
user_id: 68b8ca59-c5b3-11ee-8790-cd641c68093d
volume: 3
year: '2023'
...
---
OA_type: closed access
_id: '17864'
abstract:
- lang: eng
  text: 'Molecular one-dimensional topological insulators (1D TIs), which conduct
    through energetically low-lying topological edge states, can be extremely highly
    conducting and exhibit a reversed conductance decay, affording them great potential
    as building blocks for nanoelectronic devices. However, these properties can only
    be observed at the short length limit. To extend the length at which these anomalous
    effects can be observed, we design topological oligo[n]emeraldine wires using
    short 1D TIs as building blocks. As the wire length increases, the number of topological
    states increases, enabling an increased electronic transmission along the wire;
    specifically, we show that we can drive over a microampere current through a single
    ∼5 nm molecular wire, appreciably more than what has been observed in other long
    wires reported to date. Calculations and experiments show that the longest oligo[7]emeraldine
    with doped topological states has over 106 enhancements in the transmission compared
    to its pristine form. The discovery of these highly conductive, long organic wires
    helps overcome a fundamental hurdle to implementing molecules in complex, nanoscale
    circuitry: their structures become too insulating at lengths that are useful in
    designing nanoscale circuits.'
article_processing_charge: No
author:
- first_name: Liang
  full_name: Li, Liang
  last_name: Li
- first_name: Shayan
  full_name: Louie, Shayan
  last_name: Louie
- first_name: Austin M.
  full_name: Evans, Austin M.
  last_name: Evans
- first_name: Elena
  full_name: Meirzadeh, Elena
  last_name: Meirzadeh
- first_name: Colin
  full_name: Nuckolls, Colin
  last_name: Nuckolls
- first_name: Latha
  full_name: Venkataraman, Latha
  id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf
  last_name: Venkataraman
  orcid: 0000-0002-6957-6089
citation:
  ama: Li L, Louie S, Evans AM, Meirzadeh E, Nuckolls C, Venkataraman L. Topological
    radical pairs produce ultrahigh conductance in long molecular wires. <i>Journal
    of the American Chemical Society</i>. 2023;145(4):2492-2498. doi:<a href="https://doi.org/10.1021/jacs.2c12059">10.1021/jacs.2c12059</a>
  apa: Li, L., Louie, S., Evans, A. M., Meirzadeh, E., Nuckolls, C., &#38; Venkataraman,
    L. (2023). Topological radical pairs produce ultrahigh conductance in long molecular
    wires. <i>Journal of the American Chemical Society</i>. American Chemical Society.
    <a href="https://doi.org/10.1021/jacs.2c12059">https://doi.org/10.1021/jacs.2c12059</a>
  chicago: Li, Liang, Shayan Louie, Austin M. Evans, Elena Meirzadeh, Colin Nuckolls,
    and Latha Venkataraman. “Topological Radical Pairs Produce Ultrahigh Conductance
    in Long Molecular Wires.” <i>Journal of the American Chemical Society</i>. American
    Chemical Society, 2023. <a href="https://doi.org/10.1021/jacs.2c12059">https://doi.org/10.1021/jacs.2c12059</a>.
  ieee: L. Li, S. Louie, A. M. Evans, E. Meirzadeh, C. Nuckolls, and L. Venkataraman,
    “Topological radical pairs produce ultrahigh conductance in long molecular wires,”
    <i>Journal of the American Chemical Society</i>, vol. 145, no. 4. American Chemical
    Society, pp. 2492–2498, 2023.
  ista: Li L, Louie S, Evans AM, Meirzadeh E, Nuckolls C, Venkataraman L. 2023. Topological
    radical pairs produce ultrahigh conductance in long molecular wires. Journal of
    the American Chemical Society. 145(4), 2492–2498.
  mla: Li, Liang, et al. “Topological Radical Pairs Produce Ultrahigh Conductance
    in Long Molecular Wires.” <i>Journal of the American Chemical Society</i>, vol.
    145, no. 4, American Chemical Society, 2023, pp. 2492–98, doi:<a href="https://doi.org/10.1021/jacs.2c12059">10.1021/jacs.2c12059</a>.
  short: L. Li, S. Louie, A.M. Evans, E. Meirzadeh, C. Nuckolls, L. Venkataraman,
    Journal of the American Chemical Society 145 (2023) 2492–2498.
date_created: 2024-09-06T12:57:45Z
date_published: 2023-01-23T00:00:00Z
date_updated: 2024-11-25T14:21:10Z
day: '23'
doi: 10.1021/jacs.2c12059
extern: '1'
external_id:
  pmid:
  - '36689781'
fulldoi: https://doi.org/10.1021/jacs.2c12059
intvolume: '       145'
issue: '4'
language:
- iso: eng
month: '01'
oa_version: None
page: 2492-2498
pmid: 1
publication: Journal of the American Chemical Society
publication_identifier:
  eissn:
  - 1520-5126
  issn:
  - 0002-7863
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Topological radical pairs produce ultrahigh conductance in long molecular wires
type: journal_article
user_id: 68b8ca59-c5b3-11ee-8790-cd641c68093d
volume: 145
year: '2023'
...
---
OA_type: closed access
_id: '17865'
abstract:
- lang: eng
  text: Understanding how molecular geometry affects the electronic properties of
    single-molecule junctions experimentally has been challenging. Typically, metal–molecule–metal
    junctions are measured using a break-junction method where electrode separation
    is mechanically evolving during measurement. Here, to probe the impact of the
    junction geometry on conductance, we apply a sinusoidal modulation to the molecular
    junction electrode position. Simultaneously, we probe the nonlinearity of the
    current–voltage characteristics of each junction through a modulation in the applied
    bias at a different frequency. In turn, we show that junctions formed with molecules
    that have different molecule–electrode interfaces exhibit statistically distinguishable
    Fourier-transformed conductances. In particular, we find a marked bias dependence
    for the modulation of junctions where transmission is mediated thorough the van
    der Waals (vdW) interaction. We attribute our findings to voltage-modulated vdW
    interactions at the single-molecule level.
article_processing_charge: No
article_type: original
author:
- first_name: Yujing
  full_name: Wei, Yujing
  last_name: Wei
- first_name: Liang
  full_name: Li, Liang
  last_name: Li
- first_name: Julia E.
  full_name: Greenwald, Julia E.
  last_name: Greenwald
- first_name: Latha
  full_name: Venkataraman, Latha
  id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf
  last_name: Venkataraman
  orcid: 0000-0002-6957-6089
citation:
  ama: Wei Y, Li L, Greenwald JE, Venkataraman L. Voltage-modulated van der waals
    interaction in single-molecule junctions. <i>Nano Letters</i>. 2023;23(2):567-572.
    doi:<a href="https://doi.org/10.1021/acs.nanolett.2c04098">10.1021/acs.nanolett.2c04098</a>
  apa: Wei, Y., Li, L., Greenwald, J. E., &#38; Venkataraman, L. (2023). Voltage-modulated
    van der waals interaction in single-molecule junctions. <i>Nano Letters</i>. American
    Chemical Society. <a href="https://doi.org/10.1021/acs.nanolett.2c04098">https://doi.org/10.1021/acs.nanolett.2c04098</a>
  chicago: Wei, Yujing, Liang Li, Julia E. Greenwald, and Latha Venkataraman. “Voltage-Modulated
    van Der Waals Interaction in Single-Molecule Junctions.” <i>Nano Letters</i>.
    American Chemical Society, 2023. <a href="https://doi.org/10.1021/acs.nanolett.2c04098">https://doi.org/10.1021/acs.nanolett.2c04098</a>.
  ieee: Y. Wei, L. Li, J. E. Greenwald, and L. Venkataraman, “Voltage-modulated van
    der waals interaction in single-molecule junctions,” <i>Nano Letters</i>, vol.
    23, no. 2. American Chemical Society, pp. 567–572, 2023.
  ista: Wei Y, Li L, Greenwald JE, Venkataraman L. 2023. Voltage-modulated van der
    waals interaction in single-molecule junctions. Nano Letters. 23(2), 567–572.
  mla: Wei, Yujing, et al. “Voltage-Modulated van Der Waals Interaction in Single-Molecule
    Junctions.” <i>Nano Letters</i>, vol. 23, no. 2, American Chemical Society, 2023,
    pp. 567–72, doi:<a href="https://doi.org/10.1021/acs.nanolett.2c04098">10.1021/acs.nanolett.2c04098</a>.
  short: Y. Wei, L. Li, J.E. Greenwald, L. Venkataraman, Nano Letters 23 (2023) 567–572.
date_created: 2024-09-06T12:58:41Z
date_published: 2023-01-05T00:00:00Z
date_updated: 2024-11-25T14:49:19Z
day: '05'
doi: 10.1021/acs.nanolett.2c04098
extern: '1'
external_id:
  pmid:
  - '36602221'
fulldoi: https://doi.org/10.1021/acs.nanolett.2c04098
intvolume: '        23'
issue: '2'
language:
- iso: eng
month: '01'
oa_version: None
page: 567-572
pmid: 1
publication: Nano Letters
publication_identifier:
  eissn:
  - 1530-6992
  issn:
  - 1530-6984
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
status: public
title: Voltage-modulated van der waals interaction in single-molecule junctions
type: journal_article
user_id: 68b8ca59-c5b3-11ee-8790-cd641c68093d
volume: 23
year: '2023'
...
---
OA_place: publisher
OA_type: gold
_id: '17866'
abstract:
- lang: eng
  text: Electric fields have been used to control and direct chemical reactions in
    biochemistry and enzymatic catalysis, yet directly applying external electric
    fields to activate reactions in bulk solution and to characterize them ex situ
    remains a challenge. Here we utilize the scanning tunneling microscope-based break-junction
    technique to investigate the electric field driven homolytic cleavage of the radical
    initiator 4-(methylthio)benzoic peroxyanhydride at ambient temperatures in bulk
    solution, without the use of co-initiators or photochemical activators. Through
    time-dependent ex situ quantification by high performance liquid chromatography
    using a UV-vis detector, we find that the electric field catalyzes the reaction.
    Importantly, we demonstrate that the reaction rate in a field increases linearly
    with the solvent dielectric constant. Using density functional theory calculations,
    we show that the applied electric field decreases the dissociation energy of the
    O–O bond and stabilizes the product relative to the reactant due to their different
    dipole moments.
article_processing_charge: Yes
article_type: original
author:
- first_name: Boyuan
  full_name: Zhang, Boyuan
  last_name: Zhang
- first_name: Cedric
  full_name: Schaack, Cedric
  last_name: Schaack
- first_name: Claudia R.
  full_name: Prindle, Claudia R.
  last_name: Prindle
- first_name: Ethan A.
  full_name: Vo, Ethan A.
  last_name: Vo
- first_name: Miriam
  full_name: Aziz, Miriam
  last_name: Aziz
- first_name: Michael L.
  full_name: Steigerwald, Michael L.
  last_name: Steigerwald
- first_name: Timothy C.
  full_name: Berkelbach, Timothy C.
  last_name: Berkelbach
- first_name: Colin
  full_name: Nuckolls, Colin
  last_name: Nuckolls
- first_name: Latha
  full_name: Venkataraman, Latha
  id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf
  last_name: Venkataraman
  orcid: 0000-0002-6957-6089
citation:
  ama: Zhang B, Schaack C, Prindle CR, et al. Electric fields drive bond homolysis.
    <i>Chemical Science</i>. 2023;14(7):1769-1774. doi:<a href="https://doi.org/10.1039/d2sc06411a">10.1039/d2sc06411a</a>
  apa: Zhang, B., Schaack, C., Prindle, C. R., Vo, E. A., Aziz, M., Steigerwald, M.
    L., … Venkataraman, L. (2023). Electric fields drive bond homolysis. <i>Chemical
    Science</i>. Royal Society of Chemistry. <a href="https://doi.org/10.1039/d2sc06411a">https://doi.org/10.1039/d2sc06411a</a>
  chicago: Zhang, Boyuan, Cedric Schaack, Claudia R. Prindle, Ethan A. Vo, Miriam
    Aziz, Michael L. Steigerwald, Timothy C. Berkelbach, Colin Nuckolls, and Latha
    Venkataraman. “Electric Fields Drive Bond Homolysis.” <i>Chemical Science</i>.
    Royal Society of Chemistry, 2023. <a href="https://doi.org/10.1039/d2sc06411a">https://doi.org/10.1039/d2sc06411a</a>.
  ieee: B. Zhang <i>et al.</i>, “Electric fields drive bond homolysis,” <i>Chemical
    Science</i>, vol. 14, no. 7. Royal Society of Chemistry, pp. 1769–1774, 2023.
  ista: Zhang B, Schaack C, Prindle CR, Vo EA, Aziz M, Steigerwald ML, Berkelbach
    TC, Nuckolls C, Venkataraman L. 2023. Electric fields drive bond homolysis. Chemical
    Science. 14(7), 1769–1774.
  mla: Zhang, Boyuan, et al. “Electric Fields Drive Bond Homolysis.” <i>Chemical Science</i>,
    vol. 14, no. 7, Royal Society of Chemistry, 2023, pp. 1769–74, doi:<a href="https://doi.org/10.1039/d2sc06411a">10.1039/d2sc06411a</a>.
  short: B. Zhang, C. Schaack, C.R. Prindle, E.A. Vo, M. Aziz, M.L. Steigerwald, T.C.
    Berkelbach, C. Nuckolls, L. Venkataraman, Chemical Science 14 (2023) 1769–1774.
date_created: 2024-09-06T12:59:45Z
date_published: 2023-01-16T00:00:00Z
date_updated: 2024-11-25T15:01:40Z
day: '16'
doi: 10.1039/d2sc06411a
extern: '1'
external_id:
  pmid:
  - '36819847'
fulldoi: https://doi.org/10.1039/d2sc06411a
intvolume: '        14'
issue: '7'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://europepmc.org/article/pmc/pmc9931054
month: '01'
oa: 1
oa_version: Published Version
page: 1769-1774
pmid: 1
publication: Chemical Science
publication_identifier:
  eissn:
  - 2041-6539
  issn:
  - 2041-6520
publication_status: published
publisher: Royal Society of Chemistry
quality_controlled: '1'
status: public
title: Electric fields drive bond homolysis
type: journal_article
user_id: 68b8ca59-c5b3-11ee-8790-cd641c68093d
volume: 14
year: '2023'
...
---
_id: '18189'
abstract:
- lang: eng
  text: 'Strongly interacting topological matter1 exhibits fundamentally new phenomena
    with potential applications in quantum information technology2,3. Emblematic instances
    are fractional quantum Hall (FQH) states4, in which the interplay of a magnetic
    field and strong interactions gives rise to fractionally charged quasi-particles,
    long-ranged entanglement and anyonic exchange statistics. Progress in engineering
    synthetic magnetic fields5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21 has raised
    the hope to create these exotic states in controlled quantum systems. However,
    except for a recent Laughlin state of light22, preparing FQH states in engineered
    systems remains elusive. Here we realize a FQH state with ultracold atoms in an
    optical lattice. The state is a lattice version of a bosonic ν = 1/2 Laughlin
    state4,23 with two particles on 16 sites. This minimal system already captures
    many hallmark features of Laughlin-type FQH states24,25,26,27,28: we observe a
    suppression of two-body interactions, we find a distinctive vortex structure in
    the density correlations and we measure a fractional Hall conductivity of σH/σ0 = 0.6(2)
    by means of the bulk response to a magnetic perturbation. Furthermore, by tuning
    the magnetic field, we map out the transition point between the normal and the
    FQH regime through a spectroscopic investigation of the many-body gap. Our work
    provides a starting point for exploring highly entangled topological matter with
    ultracold atoms29,30,31,32,33.'
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Julian
  full_name: Leonard, Julian
  id: b75b3f45-7995-11ef-9bfd-9a9cd02c3577
  last_name: Leonard
- first_name: Sooshin
  full_name: Kim, Sooshin
  last_name: Kim
- first_name: Joyce
  full_name: Kwan, Joyce
  last_name: Kwan
- first_name: Perrin
  full_name: Segura, Perrin
  last_name: Segura
- first_name: Fabian
  full_name: Grusdt, Fabian
  last_name: Grusdt
- first_name: Cécile
  full_name: Repellin, Cécile
  last_name: Repellin
- first_name: Nathan
  full_name: Goldman, Nathan
  last_name: Goldman
- first_name: Markus
  full_name: Greiner, Markus
  last_name: Greiner
citation:
  ama: Leonard J, Kim S, Kwan J, et al. Realization of a fractional quantum Hall state
    with ultracold atoms. <i>Nature</i>. 2023;619(7970):495-499. doi:<a href="https://doi.org/10.1038/s41586-023-06122-4">10.1038/s41586-023-06122-4</a>
  apa: Leonard, J., Kim, S., Kwan, J., Segura, P., Grusdt, F., Repellin, C., … Greiner,
    M. (2023). Realization of a fractional quantum Hall state with ultracold atoms.
    <i>Nature</i>. Springer Nature. <a href="https://doi.org/10.1038/s41586-023-06122-4">https://doi.org/10.1038/s41586-023-06122-4</a>
  chicago: Leonard, Julian, Sooshin Kim, Joyce Kwan, Perrin Segura, Fabian Grusdt,
    Cécile Repellin, Nathan Goldman, and Markus Greiner. “Realization of a Fractional
    Quantum Hall State with Ultracold Atoms.” <i>Nature</i>. Springer Nature, 2023.
    <a href="https://doi.org/10.1038/s41586-023-06122-4">https://doi.org/10.1038/s41586-023-06122-4</a>.
  ieee: J. Leonard <i>et al.</i>, “Realization of a fractional quantum Hall state
    with ultracold atoms,” <i>Nature</i>, vol. 619, no. 7970. Springer Nature, pp.
    495–499, 2023.
  ista: Leonard J, Kim S, Kwan J, Segura P, Grusdt F, Repellin C, Goldman N, Greiner
    M. 2023. Realization of a fractional quantum Hall state with ultracold atoms.
    Nature. 619(7970), 495–499.
  mla: Leonard, Julian, et al. “Realization of a Fractional Quantum Hall State with
    Ultracold Atoms.” <i>Nature</i>, vol. 619, no. 7970, Springer Nature, 2023, pp.
    495–99, doi:<a href="https://doi.org/10.1038/s41586-023-06122-4">10.1038/s41586-023-06122-4</a>.
  short: J. Leonard, S. Kim, J. Kwan, P. Segura, F. Grusdt, C. Repellin, N. Goldman,
    M. Greiner, Nature 619 (2023) 495–499.
date_created: 2024-10-07T11:46:13Z
date_published: 2023-06-21T00:00:00Z
date_updated: 2024-10-08T11:09:24Z
day: '21'
doi: 10.1038/s41586-023-06122-4
extern: '1'
external_id:
  arxiv:
  - '2210.10919'
  pmid:
  - '37344594 '
fulldoi: https://doi.org/10.1038/s41586-023-06122-4
intvolume: '       619'
issue: '7970'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2210.10919
month: '06'
oa: 1
oa_version: Preprint
page: 495-499
pmid: 1
publication: Nature
publication_identifier:
  eissn:
  - 1476-4687
  issn:
  - 0028-0836
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Realization of a fractional quantum Hall state with ultracold atoms
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 619
year: '2023'
...
---
_id: '18190'
abstract:
- lang: eng
  text: Strongly correlated systems can exhibit unexpected phenomena when brought
    in a state far from equilibrium. An example is many-body localization, which prevents
    generic interacting systems from reaching thermal equilibrium even at long times1,2.
    The stability of the many-body localized phase has been predicted to be hindered
    by the presence of small thermal inclusions that act as a bath, leading to the
    delocalization of the entire system through an avalanche propagation mechanism3,4,5,6,7,8.
    Here we study the dynamics of a thermal inclusion of variable size when it is
    coupled to a many-body localized system. We find evidence for accelerated transport
    of thermal inclusion into the localized region. We monitor how the avalanche spreads
    through the localized system and thermalizes it site by site by measuring the
    site-resolved entropy over time. Furthermore, we isolate the strongly correlated
    bath-induced dynamics with multipoint correlations between the bath and the system.
    Our results have implications on the robustness of many-body localized systems
    and their critical behaviour.
article_processing_charge: No
article_type: letter_note
arxiv: 1
author:
- first_name: Julian
  full_name: Leonard, Julian
  id: b75b3f45-7995-11ef-9bfd-9a9cd02c3577
  last_name: Leonard
- first_name: Sooshin
  full_name: Kim, Sooshin
  last_name: Kim
- first_name: Matthew
  full_name: Rispoli, Matthew
  last_name: Rispoli
- first_name: Alexander
  full_name: Lukin, Alexander
  last_name: Lukin
- first_name: Robert
  full_name: Schittko, Robert
  last_name: Schittko
- first_name: Joyce
  full_name: Kwan, Joyce
  last_name: Kwan
- first_name: Eugene
  full_name: Demler, Eugene
  last_name: Demler
- first_name: Dries
  full_name: Sels, Dries
  last_name: Sels
- first_name: Markus
  full_name: Greiner, Markus
  last_name: Greiner
citation:
  ama: Leonard J, Kim S, Rispoli M, et al. Probing the onset of quantum avalanches
    in a many-body localized system. <i>Nature Physics</i>. 2023;19(4):481-485. doi:<a
    href="https://doi.org/10.1038/s41567-022-01887-3">10.1038/s41567-022-01887-3</a>
  apa: Leonard, J., Kim, S., Rispoli, M., Lukin, A., Schittko, R., Kwan, J., … Greiner,
    M. (2023). Probing the onset of quantum avalanches in a many-body localized system.
    <i>Nature Physics</i>. Springer Nature. <a href="https://doi.org/10.1038/s41567-022-01887-3">https://doi.org/10.1038/s41567-022-01887-3</a>
  chicago: Leonard, Julian, Sooshin Kim, Matthew Rispoli, Alexander Lukin, Robert
    Schittko, Joyce Kwan, Eugene Demler, Dries Sels, and Markus Greiner. “Probing
    the Onset of Quantum Avalanches in a Many-Body Localized System.” <i>Nature Physics</i>.
    Springer Nature, 2023. <a href="https://doi.org/10.1038/s41567-022-01887-3">https://doi.org/10.1038/s41567-022-01887-3</a>.
  ieee: J. Leonard <i>et al.</i>, “Probing the onset of quantum avalanches in a many-body
    localized system,” <i>Nature Physics</i>, vol. 19, no. 4. Springer Nature, pp.
    481–485, 2023.
  ista: Leonard J, Kim S, Rispoli M, Lukin A, Schittko R, Kwan J, Demler E, Sels D,
    Greiner M. 2023. Probing the onset of quantum avalanches in a many-body localized
    system. Nature Physics. 19(4), 481–485.
  mla: Leonard, Julian, et al. “Probing the Onset of Quantum Avalanches in a Many-Body
    Localized System.” <i>Nature Physics</i>, vol. 19, no. 4, Springer Nature, 2023,
    pp. 481–85, doi:<a href="https://doi.org/10.1038/s41567-022-01887-3">10.1038/s41567-022-01887-3</a>.
  short: J. Leonard, S. Kim, M. Rispoli, A. Lukin, R. Schittko, J. Kwan, E. Demler,
    D. Sels, M. Greiner, Nature Physics 19 (2023) 481–485.
date_created: 2024-10-07T11:46:33Z
date_published: 2023-01-26T00:00:00Z
date_updated: 2024-10-08T10:52:08Z
day: '26'
doi: 10.1038/s41567-022-01887-3
extern: '1'
external_id:
  arxiv:
  - '2012.15270'
fulldoi: https://doi.org/10.1038/s41567-022-01887-3
intvolume: '        19'
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2012.15270
month: '01'
oa: 1
oa_version: Preprint
page: 481-485
publication: Nature Physics
publication_identifier:
  eissn:
  - 1745-2481
  issn:
  - 1745-2473
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Probing the onset of quantum avalanches in a many-body localized system
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 19
year: '2023'
...
---
_id: '18207'
abstract:
- lang: eng
  text: Comparison of myoglobin structures reveals that protein isolated from horse
    heart consistently adopts an alternate turn conformation in comparison to its
    homologues. Analysis of hundreds of high-resolution structures discounts crystallization
    conditions or the surrounding amino acid protein environment as explaining this
    difference, that is also not captured by the AlphaFold prediction. Rather, a water
    molecule is identified as stabilizing the conformation in the horse heart structure,
    which immediately reverts to the whale conformation in molecular dynamics simulations
    excluding that structural water.
article_number: '6094'
article_processing_charge: No
article_type: original
author:
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
- first_name: Ailie
  full_name: Marx, Ailie
  last_name: Marx
citation:
  ama: Bronstein AM, Marx A. Water stabilizes an alternate turn conformation in horse
    heart myoglobin. <i>Scientific Reports</i>. 2023;13. doi:<a href="https://doi.org/10.1038/s41598-023-32821-z">10.1038/s41598-023-32821-z</a>
  apa: Bronstein, A. M., &#38; Marx, A. (2023). Water stabilizes an alternate turn
    conformation in horse heart myoglobin. <i>Scientific Reports</i>. Springer Nature.
    <a href="https://doi.org/10.1038/s41598-023-32821-z">https://doi.org/10.1038/s41598-023-32821-z</a>
  chicago: Bronstein, Alex M., and Ailie Marx. “Water Stabilizes an Alternate Turn
    Conformation in Horse Heart Myoglobin.” <i>Scientific Reports</i>. Springer Nature,
    2023. <a href="https://doi.org/10.1038/s41598-023-32821-z">https://doi.org/10.1038/s41598-023-32821-z</a>.
  ieee: A. M. Bronstein and A. Marx, “Water stabilizes an alternate turn conformation
    in horse heart myoglobin,” <i>Scientific Reports</i>, vol. 13. Springer Nature,
    2023.
  ista: Bronstein AM, Marx A. 2023. Water stabilizes an alternate turn conformation
    in horse heart myoglobin. Scientific Reports. 13, 6094.
  mla: Bronstein, Alex M., and Ailie Marx. “Water Stabilizes an Alternate Turn Conformation
    in Horse Heart Myoglobin.” <i>Scientific Reports</i>, vol. 13, 6094, Springer
    Nature, 2023, doi:<a href="https://doi.org/10.1038/s41598-023-32821-z">10.1038/s41598-023-32821-z</a>.
  short: A.M. Bronstein, A. Marx, Scientific Reports 13 (2023).
date_created: 2024-10-08T12:46:41Z
date_published: 2023-04-13T00:00:00Z
date_updated: 2024-10-09T10:39:26Z
day: '13'
doi: 10.1038/s41598-023-32821-z
extern: '1'
external_id:
  pmid:
  - '37055458'
fulldoi: https://doi.org/10.1038/s41598-023-32821-z
has_accepted_license: '1'
intvolume: '        13'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1038/s41598-023-32821-z
month: '04'
oa: 1
oa_version: Published Version
pmid: 1
publication: Scientific Reports
publication_identifier:
  issn:
  - 2045-2322
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Water stabilizes an alternate turn conformation in horse heart myoglobin
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13
year: '2023'
...
---
_id: '18208'
abstract:
- lang: eng
  text: The holy grail of materials science is de novo molecular design, meaning engineering
    molecules with desired characteristics. The introduction of generative deep learning
    has greatly advanced efforts in this direction, yet molecular discovery remains
    challenging and often inefficient. Herein we introduce GaUDI, a guided diffusion
    model for inverse molecular design that combines an equivariant graph neural net
    for property prediction and a generative diffusion model. We demonstrate GaUDI’s
    effectiveness in designing molecules for organic electronic applications by using
    single- and multiple-objective tasks applied to a generated dataset of 475,000
    polycyclic aromatic systems. GaUDI shows improved conditional design, generating
    molecules with optimal properties and even going beyond the original distribution
    to suggest better molecules than those in the dataset. In addition to point-wise
    targets, GaUDI can also be guided toward open-ended targets (for example, a minimum
    or maximum) and in all cases achieves close to 100% validity of generated molecules.
article_processing_charge: No
article_type: original
author:
- first_name: Tomer
  full_name: Weiss, Tomer
  last_name: Weiss
- first_name: Eduardo
  full_name: Mayo Yanes, Eduardo
  last_name: Mayo Yanes
- first_name: Sabyasachi
  full_name: Chakraborty, Sabyasachi
  last_name: Chakraborty
- first_name: Luca
  full_name: Cosmo, Luca
  last_name: Cosmo
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
- first_name: Renana
  full_name: Gershoni-Poranne, Renana
  last_name: Gershoni-Poranne
citation:
  ama: Weiss T, Mayo Yanes E, Chakraborty S, Cosmo L, Bronstein AM, Gershoni-Poranne
    R. Guided diffusion for inverse molecular design. <i>Nature Computational Science</i>.
    2023;3(10):873-882. doi:<a href="https://doi.org/10.1038/s43588-023-00532-0">10.1038/s43588-023-00532-0</a>
  apa: Weiss, T., Mayo Yanes, E., Chakraborty, S., Cosmo, L., Bronstein, A. M., &#38;
    Gershoni-Poranne, R. (2023). Guided diffusion for inverse molecular design. <i>Nature
    Computational Science</i>. Springer Nature. <a href="https://doi.org/10.1038/s43588-023-00532-0">https://doi.org/10.1038/s43588-023-00532-0</a>
  chicago: Weiss, Tomer, Eduardo Mayo Yanes, Sabyasachi Chakraborty, Luca Cosmo, Alex
    M. Bronstein, and Renana Gershoni-Poranne. “Guided Diffusion for Inverse Molecular
    Design.” <i>Nature Computational Science</i>. Springer Nature, 2023. <a href="https://doi.org/10.1038/s43588-023-00532-0">https://doi.org/10.1038/s43588-023-00532-0</a>.
  ieee: T. Weiss, E. Mayo Yanes, S. Chakraborty, L. Cosmo, A. M. Bronstein, and R.
    Gershoni-Poranne, “Guided diffusion for inverse molecular design,” <i>Nature Computational
    Science</i>, vol. 3, no. 10. Springer Nature, pp. 873–882, 2023.
  ista: Weiss T, Mayo Yanes E, Chakraborty S, Cosmo L, Bronstein AM, Gershoni-Poranne
    R. 2023. Guided diffusion for inverse molecular design. Nature Computational Science.
    3(10), 873–882.
  mla: Weiss, Tomer, et al. “Guided Diffusion for Inverse Molecular Design.” <i>Nature
    Computational Science</i>, vol. 3, no. 10, Springer Nature, 2023, pp. 873–82,
    doi:<a href="https://doi.org/10.1038/s43588-023-00532-0">10.1038/s43588-023-00532-0</a>.
  short: T. Weiss, E. Mayo Yanes, S. Chakraborty, L. Cosmo, A.M. Bronstein, R. Gershoni-Poranne,
    Nature Computational Science 3 (2023) 873–882.
date_created: 2024-10-08T12:46:58Z
date_published: 2023-10-05T00:00:00Z
date_updated: 2024-10-09T10:44:41Z
day: '05'
doi: 10.1038/s43588-023-00532-0
extern: '1'
external_id:
  pmid:
  - '38177755'
fulldoi: https://doi.org/10.1038/s43588-023-00532-0
intvolume: '         3'
issue: '10'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.26434/chemrxiv-2023-z8ltp
month: '10'
oa: 1
oa_version: Preprint
page: 873-882
pmid: 1
publication: Nature Computational Science
publication_identifier:
  issn:
  - 2662-8457
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Guided diffusion for inverse molecular design
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 3
year: '2023'
...
---
_id: '18209'
abstract:
- lang: eng
  text: In this work, interpretable deep learning was used to identify structure–property
    relationships governing the HOMO–LUMO gap and the relative stability of polybenzenoid
    hydrocarbons (PBHs) using a ring-based graph representation. This representation
    was combined with a subunit-based perception of PBHs, allowing chemical insights
    to be presented in terms of intuitive and simple structural motifs. The resulting
    insights agree with conventional organic chemistry knowledge and electronic structure-based
    analyses and also reveal new behaviors and identify influential structural motifs.
    In particular, we evaluated and compared the effects of linear, angular, and branching
    motifs on these two molecular properties and explored the role of dispersion in
    mitigating the torsional strain inherent in nonplanar PBHs. Hence, the observed
    regularities and the proposed analysis contribute to a deeper understanding of
    the behavior of PBHs and form the foundation for design strategies for new functional
    PBHs.
article_processing_charge: No
article_type: original
author:
- first_name: Tomer
  full_name: Weiss, Tomer
  last_name: Weiss
- first_name: Alexandra
  full_name: Wahab, Alexandra
  last_name: Wahab
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
- first_name: Renana
  full_name: Gershoni-Poranne, Renana
  last_name: Gershoni-Poranne
citation:
  ama: Weiss T, Wahab A, Bronstein AM, Gershoni-Poranne R. Interpretable deep-learning
    unveils structure–property relationships in polybenzenoid hydrocarbons. <i>The
    Journal of Organic Chemistry</i>. 2023;88(14):9645-9656. doi:<a href="https://doi.org/10.1021/acs.joc.2c02381">10.1021/acs.joc.2c02381</a>
  apa: Weiss, T., Wahab, A., Bronstein, A. M., &#38; Gershoni-Poranne, R. (2023).
    Interpretable deep-learning unveils structure–property relationships in polybenzenoid
    hydrocarbons. <i>The Journal of Organic Chemistry</i>. American Chemical Society.
    <a href="https://doi.org/10.1021/acs.joc.2c02381">https://doi.org/10.1021/acs.joc.2c02381</a>
  chicago: Weiss, Tomer, Alexandra Wahab, Alex M. Bronstein, and Renana Gershoni-Poranne.
    “Interpretable Deep-Learning Unveils Structure–Property Relationships in Polybenzenoid
    Hydrocarbons.” <i>The Journal of Organic Chemistry</i>. American Chemical Society,
    2023. <a href="https://doi.org/10.1021/acs.joc.2c02381">https://doi.org/10.1021/acs.joc.2c02381</a>.
  ieee: T. Weiss, A. Wahab, A. M. Bronstein, and R. Gershoni-Poranne, “Interpretable
    deep-learning unveils structure–property relationships in polybenzenoid hydrocarbons,”
    <i>The Journal of Organic Chemistry</i>, vol. 88, no. 14. American Chemical Society,
    pp. 9645–9656, 2023.
  ista: Weiss T, Wahab A, Bronstein AM, Gershoni-Poranne R. 2023. Interpretable deep-learning
    unveils structure–property relationships in polybenzenoid hydrocarbons. The Journal
    of Organic Chemistry. 88(14), 9645–9656.
  mla: Weiss, Tomer, et al. “Interpretable Deep-Learning Unveils Structure–Property
    Relationships in Polybenzenoid Hydrocarbons.” <i>The Journal of Organic Chemistry</i>,
    vol. 88, no. 14, American Chemical Society, 2023, pp. 9645–56, doi:<a href="https://doi.org/10.1021/acs.joc.2c02381">10.1021/acs.joc.2c02381</a>.
  short: T. Weiss, A. Wahab, A.M. Bronstein, R. Gershoni-Poranne, The Journal of Organic
    Chemistry 88 (2023) 9645–9656.
date_created: 2024-10-08T12:47:17Z
date_published: 2023-01-25T00:00:00Z
date_updated: 2024-10-09T10:49:42Z
day: '25'
doi: 10.1021/acs.joc.2c02381
extern: '1'
external_id:
  pmid:
  - '36696660'
fulldoi: https://doi.org/10.1021/acs.joc.2c02381
intvolume: '        88'
issue: '14'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: 10.26434/chemrxiv-2022-krng1
month: '01'
oa: 1
oa_version: Preprint
page: 9645-9656
pmid: 1
publication: The Journal of Organic Chemistry
publication_identifier:
  eissn:
  - 1520-6904
  issn:
  - 0022-3263
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Interpretable deep-learning unveils structure–property relationships in polybenzenoid
  hydrocarbons
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 88
year: '2023'
...
---
_id: '18212'
abstract:
- lang: eng
  text: The high memory bandwidth demand of sparse embedding layers continues to be
    a critical challenge in scaling the performance of recommendation models. While
    prior works have exploited heterogeneous memory system designs and partial embedding
    sum memoization techniques, they offer limited benefits. This is because prior
    designs either target a very small subset of embeddings to simplify their analysis
    or incur a high processing cost to account for all embeddings, which does not
    scale with the large sizes of modern embedding tables. This paper proposes GRACE-a
    lightweight and scalable graph-based algorithm-system co-design framework to significantly
    improve the embedding layer performance of recommendation models. GRACE proposes
    a novel Item Co-occurrence Graph (ICG) that scalably records item co-occurrences.
    GRACE then presents a new system-aware ICG clustering algorithm to find frequently
    accessed item combinations of arbitrary lengths to compute and memoize their partial
    sums. High-frequency partial sums are stored in a software-managed cache space
    to reduce memory traffic and improve the throughput of computing sparse features.
    We further present a cache data layout and low-cost address computation logic
    to efficiently lookup item embeddings and their partial sums. Our evaluation shows
    that GRACE significantly outperforms the state-of-the-art techniques SPACE and
    MERCI by 1.5x and 1.4x, respectively.
article_processing_charge: No
author:
- first_name: Haojie
  full_name: Ye, Haojie
  last_name: Ye
- first_name: Sanketh
  full_name: Vedula, Sanketh
  last_name: Vedula
- first_name: Yuhan
  full_name: Chen, Yuhan
  last_name: Chen
- first_name: Yichen
  full_name: Yang, Yichen
  last_name: Yang
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
- first_name: Ronald
  full_name: Dreslinski, Ronald
  last_name: Dreslinski
- first_name: Trevor
  full_name: Mudge, Trevor
  last_name: Mudge
- first_name: Nishil
  full_name: Talati, Nishil
  last_name: Talati
citation:
  ama: 'Ye H, Vedula S, Chen Y, et al. GRACE: A scalable graph-based approach to accelerating
    recommendation model inference. In: <i>Proceedings of the 28th ACM International
    Conference on Architectural Support for Programming Languages and Operating Systems</i>.
    Vol 11. Association for Computing Machinery; 2023:282-301. doi:<a href="https://doi.org/10.1145/3582016.3582029">10.1145/3582016.3582029</a>'
  apa: 'Ye, H., Vedula, S., Chen, Y., Yang, Y., Bronstein, A. M., Dreslinski, R.,
    … Talati, N. (2023). GRACE: A scalable graph-based approach to accelerating recommendation
    model inference. In <i>Proceedings of the 28th ACM International Conference on
    Architectural Support for Programming Languages and Operating Systems</i> (Vol.
    11, pp. 282–301). Association for Computing Machinery. <a href="https://doi.org/10.1145/3582016.3582029">https://doi.org/10.1145/3582016.3582029</a>'
  chicago: 'Ye, Haojie, Sanketh Vedula, Yuhan Chen, Yichen Yang, Alex M. Bronstein,
    Ronald Dreslinski, Trevor Mudge, and Nishil Talati. “GRACE: A Scalable Graph-Based
    Approach to Accelerating Recommendation Model Inference.” In <i>Proceedings of
    the 28th ACM International Conference on Architectural Support for Programming
    Languages and Operating Systems</i>, 11:282–301. Association for Computing Machinery,
    2023. <a href="https://doi.org/10.1145/3582016.3582029">https://doi.org/10.1145/3582016.3582029</a>.'
  ieee: 'H. Ye <i>et al.</i>, “GRACE: A scalable graph-based approach to accelerating
    recommendation model inference,” in <i>Proceedings of the 28th ACM International
    Conference on Architectural Support for Programming Languages and Operating Systems</i>,
    2023, vol. 11, no. 3, pp. 282–301.'
  ista: 'Ye H, Vedula S, Chen Y, Yang Y, Bronstein AM, Dreslinski R, Mudge T, Talati
    N. 2023. GRACE: A scalable graph-based approach to accelerating recommendation
    model inference. Proceedings of the 28th ACM International Conference on Architectural
    Support for Programming Languages and Operating Systems. vol. 11, 282–301.'
  mla: 'Ye, Haojie, et al. “GRACE: A Scalable Graph-Based Approach to Accelerating
    Recommendation Model Inference.” <i>Proceedings of the 28th ACM International
    Conference on Architectural Support for Programming Languages and Operating Systems</i>,
    vol. 11, no. 3, Association for Computing Machinery, 2023, pp. 282–301, doi:<a
    href="https://doi.org/10.1145/3582016.3582029">10.1145/3582016.3582029</a>.'
  short: H. Ye, S. Vedula, Y. Chen, Y. Yang, A.M. Bronstein, R. Dreslinski, T. Mudge,
    N. Talati, in:, Proceedings of the 28th ACM International Conference on Architectural
    Support for Programming Languages and Operating Systems, Association for Computing
    Machinery, 2023, pp. 282–301.
date_created: 2024-10-08T12:48:11Z
date_published: 2023-03-01T00:00:00Z
date_updated: 2024-10-09T11:21:19Z
day: '01'
doi: 10.1145/3582016.3582029
extern: '1'
fulldoi: https://doi.org/10.1145/3582016.3582029
intvolume: '        11'
issue: '3'
language:
- iso: eng
month: '03'
oa_version: None
page: 282-301
publication: Proceedings of the 28th ACM International Conference on Architectural
  Support for Programming Languages and Operating Systems
publication_identifier:
  isbn:
  - '9781450399180'
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
related_material:
  link:
  - relation: software
    url: https://doi.org/10.5281/zenodo.7699872
scopus_import: '1'
status: public
title: 'GRACE: A scalable graph-based approach to accelerating recommendation model
  inference'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 11
year: '2023'
...
---
_id: '18213'
abstract:
- lang: eng
  text: "What is the best way to match the nodes of two graphs? This graph alignment
    problem generalizes graph isomorphism and arises in applications from social network
    analysis to bioinformatics. Some solutions assume that auxiliary information on
    known matches or node or edge attributes is available, or utilize arbitrary graph
    features. Such methods fare poorly in the pure form of the problem, in which only
    graph structures are given. Other proposals translate the problem to one of aligning
    node embeddings, yet, by doing so, provide only a single-scale view of the graph.\r\nIn
    this article, we transfer the shape-analysis concept of functional maps from the
    continuous to the discrete case, and treat the graph alignment problem as a special
    case of the problem of finding a mapping between functions on graphs. We present
    GRASP, a method that first establishes a correspondence between functions derived
    from Laplacian matrix eigenvectors, which capture multiscale structural characteristics,
    and then exploits this correspondence to align nodes. We enhance the basic form
    of GRASP by altering two of its components, namely the embedding method and the
    assignment procedure it employs, leveraging its modular, hence adaptable design.
    Our experimental study, featuring noise levels higher than anything used in previous
    studies, shows that the enhanced form of GRASP outperforms scalable state-of-the-art
    methods for graph alignment across noise levels and graph types, and performs
    competitively with respect to the best non-scalable ones. We include in our study
    another modular graph alignment algorithm, CONE, which is also adaptable thanks
    to its modular nature, and show it can manage graphs with skewed power-law degree
    distributions."
article_number: '50'
article_processing_charge: No
article_type: original
author:
- first_name: Judith
  full_name: Hermanns, Judith
  last_name: Hermanns
- first_name: Konstantinos
  full_name: Skitsas, Konstantinos
  last_name: Skitsas
- first_name: Anton
  full_name: Tsitsulin, Anton
  last_name: Tsitsulin
- first_name: Marina
  full_name: Munkhoeva, Marina
  last_name: Munkhoeva
- first_name: Alexander
  full_name: Kyster, Alexander
  last_name: Kyster
- first_name: Simon
  full_name: Nielsen, Simon
  last_name: Nielsen
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
- first_name: Davide
  full_name: Mottin, Davide
  last_name: Mottin
- first_name: Panagiotis
  full_name: Karras, Panagiotis
  last_name: Karras
citation:
  ama: 'Hermanns J, Skitsas K, Tsitsulin A, et al. GRASP: Scalable graph alignment
    by spectral corresponding functions. <i>ACM Transactions on Knowledge Discovery
    from Data</i>. 2023;17(4). doi:<a href="https://doi.org/10.1145/3561058">10.1145/3561058</a>'
  apa: 'Hermanns, J., Skitsas, K., Tsitsulin, A., Munkhoeva, M., Kyster, A., Nielsen,
    S., … Karras, P. (2023). GRASP: Scalable graph alignment by spectral corresponding
    functions. <i>ACM Transactions on Knowledge Discovery from Data</i>. Association
    for Computing Machinery. <a href="https://doi.org/10.1145/3561058">https://doi.org/10.1145/3561058</a>'
  chicago: 'Hermanns, Judith, Konstantinos Skitsas, Anton Tsitsulin, Marina Munkhoeva,
    Alexander Kyster, Simon Nielsen, Alex M. Bronstein, Davide Mottin, and Panagiotis
    Karras. “GRASP: Scalable Graph Alignment by Spectral Corresponding Functions.”
    <i>ACM Transactions on Knowledge Discovery from Data</i>. Association for Computing
    Machinery, 2023. <a href="https://doi.org/10.1145/3561058">https://doi.org/10.1145/3561058</a>.'
  ieee: 'J. Hermanns <i>et al.</i>, “GRASP: Scalable graph alignment by spectral corresponding
    functions,” <i>ACM Transactions on Knowledge Discovery from Data</i>, vol. 17,
    no. 4. Association for Computing Machinery, 2023.'
  ista: 'Hermanns J, Skitsas K, Tsitsulin A, Munkhoeva M, Kyster A, Nielsen S, Bronstein
    AM, Mottin D, Karras P. 2023. GRASP: Scalable graph alignment by spectral corresponding
    functions. ACM Transactions on Knowledge Discovery from Data. 17(4), 50.'
  mla: 'Hermanns, Judith, et al. “GRASP: Scalable Graph Alignment by Spectral Corresponding
    Functions.” <i>ACM Transactions on Knowledge Discovery from Data</i>, vol. 17,
    no. 4, 50, Association for Computing Machinery, 2023, doi:<a href="https://doi.org/10.1145/3561058">10.1145/3561058</a>.'
  short: J. Hermanns, K. Skitsas, A. Tsitsulin, M. Munkhoeva, A. Kyster, S. Nielsen,
    A.M. Bronstein, D. Mottin, P. Karras, ACM Transactions on Knowledge Discovery
    from Data 17 (2023).
date_created: 2024-10-08T12:48:38Z
date_published: 2023-02-24T00:00:00Z
date_updated: 2024-10-09T11:24:50Z
day: '24'
doi: 10.1145/3561058
extern: '1'
fulldoi: https://doi.org/10.1145/3561058
intvolume: '        17'
issue: '4'
language:
- iso: eng
month: '02'
oa_version: None
publication: ACM Transactions on Knowledge Discovery from Data
publication_identifier:
  eissn:
  - 1556-472X
  issn:
  - 1556-4681
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'GRASP: Scalable graph alignment by spectral corresponding functions'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 17
year: '2023'
...
---
_id: '18214'
abstract:
- lang: eng
  text: "Graph sparsification is a technique that approximates a given graph by a
    sparse graph with a subset of vertices and/or edges. The goal of an effective
    sparsification algorithm is to maintain specific graph properties relevant to
    the downstream task while minimizing the graph's size. Graph algorithms often
    suffer from long execution time due to the irregularity and the large real-world
    graph size. Graph sparsification can be applied to greatly reduce the run time
    of graph algorithms by substituting the full graph with a much smaller sparsified
    graph, without significantly degrading the output quality. However, the interaction
    between numerous sparsifiers and graph properties is not widely explored, and
    the potential of graph sparsification is not fully understood.</jats:p>\r\n          <jats:p>In
    this work, we cover 16 widely-used graph metrics, 12 representative graph sparsification
    algorithms, and 14 real-world input graphs spanning various categories, exhibiting
    diverse characteristics, sizes, and densities. We developed a framework to extensively
    assess the performance of these sparsification algorithms against graph metrics,
    and provide insights to the results. Our study shows that there is no one sparsifier
    that performs the best in preserving all graph properties, e.g. sparsifiers that
    preserve distance-related graph properties (eccentricity) struggle to perform
    well on Graph Neural Networks (GNN). This paper presents a comprehensive experimental
    study evaluating the performance of sparsification algorithms in preserving essential
    graph metrics. The insights inform future research in incorporating matching graph
    sparsification to graph algorithms to maximize benefits while minimizing quality
    degradation. Furthermore, we provide a framework to facilitate the future evaluation
    of evolving sparsification algorithms, graph metrics, and ever-growing graph data."
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Yuhan
  full_name: Chen, Yuhan
  last_name: Chen
- first_name: Haojie
  full_name: Ye, Haojie
  last_name: Ye
- first_name: Sanketh
  full_name: Vedula, Sanketh
  last_name: Vedula
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
- first_name: Ronald
  full_name: Dreslinski, Ronald
  last_name: Dreslinski
- first_name: Trevor
  full_name: Mudge, Trevor
  last_name: Mudge
- first_name: Nishil
  full_name: Talati, Nishil
  last_name: Talati
citation:
  ama: Chen Y, Ye H, Vedula S, et al. Demystifying graph sparsification algorithms
    in graph properties preservation. <i>Proceedings of the VLDB Endowment</i>. 2023;17(3):427-440.
    doi:<a href="https://doi.org/10.14778/3632093.3632106">10.14778/3632093.3632106</a>
  apa: Chen, Y., Ye, H., Vedula, S., Bronstein, A. M., Dreslinski, R., Mudge, T.,
    &#38; Talati, N. (2023). Demystifying graph sparsification algorithms in graph
    properties preservation. <i>Proceedings of the VLDB Endowment</i>. Association
    for Computing Machinery. <a href="https://doi.org/10.14778/3632093.3632106">https://doi.org/10.14778/3632093.3632106</a>
  chicago: Chen, Yuhan, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald Dreslinski,
    Trevor Mudge, and Nishil Talati. “Demystifying Graph Sparsification Algorithms
    in Graph Properties Preservation.” <i>Proceedings of the VLDB Endowment</i>. Association
    for Computing Machinery, 2023. <a href="https://doi.org/10.14778/3632093.3632106">https://doi.org/10.14778/3632093.3632106</a>.
  ieee: Y. Chen <i>et al.</i>, “Demystifying graph sparsification algorithms in graph
    properties preservation,” <i>Proceedings of the VLDB Endowment</i>, vol. 17, no.
    3. Association for Computing Machinery, pp. 427–440, 2023.
  ista: Chen Y, Ye H, Vedula S, Bronstein AM, Dreslinski R, Mudge T, Talati N. 2023.
    Demystifying graph sparsification algorithms in graph properties preservation.
    Proceedings of the VLDB Endowment. 17(3), 427–440.
  mla: Chen, Yuhan, et al. “Demystifying Graph Sparsification Algorithms in Graph
    Properties Preservation.” <i>Proceedings of the VLDB Endowment</i>, vol. 17, no.
    3, Association for Computing Machinery, 2023, pp. 427–40, doi:<a href="https://doi.org/10.14778/3632093.3632106">10.14778/3632093.3632106</a>.
  short: Y. Chen, H. Ye, S. Vedula, A.M. Bronstein, R. Dreslinski, T. Mudge, N. Talati,
    Proceedings of the VLDB Endowment 17 (2023) 427–440.
date_created: 2024-10-08T12:48:57Z
date_published: 2023-11-01T00:00:00Z
date_updated: 2024-10-09T11:28:33Z
day: '01'
doi: 10.14778/3632093.3632106
extern: '1'
external_id:
  arxiv:
  - '2311.12314'
fulldoi: https://doi.org/10.14778/3632093.3632106
intvolume: '        17'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2311.12314
month: '11'
oa: 1
oa_version: Preprint
page: 427-440
publication: Proceedings of the VLDB Endowment
publication_identifier:
  issn:
  - 2150-8097
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
scopus_import: '1'
status: public
title: Demystifying graph sparsification algorithms in graph properties preservation
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 17
year: '2023'
...
---
_id: '18215'
abstract:
- lang: eng
  text: 'We study the problem of real-time scheduling in a multi-hop millimeter-wave
    (mmWave) mesh. We develop a model-free deep reinforcement learning algorithm called
    Adaptive Activator RL (AARL), which determines the subset of mmWave links that
    should be activated during each time slot and the power level for each link. The
    most important property of AARL is its ability to make scheduling decisions within
    the strict time frame constraints of typical 5G mmWave networks. AARL can handle
    a variety of network topologies, network loads, and interference models, it can
    also adapt to different workloads. We demonstrate the operation of AARL on several
    topologies: a small topology with 10 links, a moderately-sized mesh with 48 links,
    and a large topology with 96 links. We show that for each topology, we compare
    the throughput obtained by AARL to that of a benchmark algorithm called RPMA (Residual
    Profit Maximizer Algorithm). The most important advantage of AARL compared to
    RPMA is that it is much faster and can make the necessary scheduling decisions
    very rapidly during every time slot, while RPMA cannot. In addition, the quality
    of the scheduling decisions made by AARL outperforms those made by RPMA.'
article_processing_charge: No
arxiv: 1
author:
- first_name: Barak
  full_name: Gahtan, Barak
  last_name: Gahtan
- first_name: Reuven
  full_name: Cohen, Reuven
  last_name: Cohen
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
- first_name: Gil
  full_name: Kedar, Gil
  last_name: Kedar
citation:
  ama: 'Gahtan B, Cohen R, Bronstein AM, Kedar G. Using deep reinforcement learning
    for mmWave real-time scheduling. In: <i>14th International Conference on Network
    of the Future</i>. IEEE; 2023:71-79. doi:<a href="https://doi.org/10.1109/nof58724.2023.10302794">10.1109/nof58724.2023.10302794</a>'
  apa: 'Gahtan, B., Cohen, R., Bronstein, A. M., &#38; Kedar, G. (2023). Using deep
    reinforcement learning for mmWave real-time scheduling. In <i>14th International
    Conference on Network of the Future</i> (pp. 71–79). Izmir, Turkiye: IEEE. <a
    href="https://doi.org/10.1109/nof58724.2023.10302794">https://doi.org/10.1109/nof58724.2023.10302794</a>'
  chicago: Gahtan, Barak, Reuven Cohen, Alex M. Bronstein, and Gil Kedar. “Using Deep
    Reinforcement Learning for MmWave Real-Time Scheduling.” In <i>14th International
    Conference on Network of the Future</i>, 71–79. IEEE, 2023. <a href="https://doi.org/10.1109/nof58724.2023.10302794">https://doi.org/10.1109/nof58724.2023.10302794</a>.
  ieee: B. Gahtan, R. Cohen, A. M. Bronstein, and G. Kedar, “Using deep reinforcement
    learning for mmWave real-time scheduling,” in <i>14th International Conference
    on Network of the Future</i>, Izmir, Turkiye, 2023, pp. 71–79.
  ista: 'Gahtan B, Cohen R, Bronstein AM, Kedar G. 2023. Using deep reinforcement
    learning for mmWave real-time scheduling. 14th International Conference on Network
    of the Future. NoF: Conference on Network of the Future, 71–79.'
  mla: Gahtan, Barak, et al. “Using Deep Reinforcement Learning for MmWave Real-Time
    Scheduling.” <i>14th International Conference on Network of the Future</i>, IEEE,
    2023, pp. 71–79, doi:<a href="https://doi.org/10.1109/nof58724.2023.10302794">10.1109/nof58724.2023.10302794</a>.
  short: B. Gahtan, R. Cohen, A.M. Bronstein, G. Kedar, in:, 14th International Conference
    on Network of the Future, IEEE, 2023, pp. 71–79.
conference:
  end_date: 2023-10-06
  location: Izmir, Turkiye
  name: 'NoF: Conference on Network of the Future'
  start_date: 2023-10-04
date_created: 2024-10-08T12:50:18Z
date_published: 2023-11-01T00:00:00Z
date_updated: 2024-10-09T11:40:45Z
day: '01'
doi: 10.1109/nof58724.2023.10302794
extern: '1'
external_id:
  arxiv:
  - '2210.01423'
fulldoi: https://doi.org/10.1109/nof58724.2023.10302794
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: ' https://doi.org/10.48550/arXiv.2210.01423'
month: '11'
oa: 1
oa_version: Preprint
page: 71-79
publication: 14th International Conference on Network of the Future
publication_identifier:
  eissn:
  - 2833-0072
  isbn:
  - '9798350338089'
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Using deep reinforcement learning for mmWave real-time scheduling
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
