---
_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'
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'
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_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'
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_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'
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 '
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'
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'
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'
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'
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: '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'
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'
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'
...
---
_id: '18216'
abstract:
- lang: eng
  text: Protein structure, both at the global and local level, dictates function.
    Proteins fold from chains of amino acids, forming secondary structures, α-helices
    and β-strands, that, at least for globular proteins, subsequently fold into a
    three-dimensional structure. Here, we show that a Ramachandran-type plot focusing
    on the two dihedral angles separated by the peptide bond, and entirely contained
    within an amino acid pair, defines a local structural unit. We further demonstrate
    the usefulness of this cross-peptide-bond Ramachandran plot by showing that it
    captures β-turn conformations in coil regions, that traditional Ramachandran plot
    outliers fall into occupied regions of our plot, and that thermophilic proteins
    prefer specific amino acid pair conformations. Further, we demonstrate experimentally
    that the effect of a point mutation on backbone conformation and protein stability
    depends on the amino acid pair context, i.e., the identity of the adjacent amino
    acid, in a manner predictable by our method.
article_number: e2301064120
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Aviv A.
  full_name: Rosenberg, Aviv A.
  last_name: Rosenberg
- first_name: Nitsan
  full_name: Yehishalom, Nitsan
  last_name: Yehishalom
- first_name: Ailie
  full_name: Marx, Ailie
  last_name: Marx
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
citation:
  ama: Rosenberg AA, Yehishalom N, Marx A, Bronstein AM. An amino-domino model described
    by a cross-peptide-bond Ramachandran plot defines amino acid pairs as local structural
    units. <i>Proceedings of the National Academy of Sciences</i>. 2023;120(44). doi:<a
    href="https://doi.org/10.1073/pnas.2301064120">10.1073/pnas.2301064120</a>
  apa: Rosenberg, A. A., Yehishalom, N., Marx, A., &#38; Bronstein, A. M. (2023).
    An amino-domino model described by a cross-peptide-bond Ramachandran plot defines
    amino acid pairs as local structural units. <i>Proceedings of the National Academy
    of Sciences</i>. National Academy of Sciences. <a href="https://doi.org/10.1073/pnas.2301064120">https://doi.org/10.1073/pnas.2301064120</a>
  chicago: Rosenberg, Aviv A., Nitsan Yehishalom, Ailie Marx, and Alex M. Bronstein.
    “An Amino-Domino Model Described by a Cross-Peptide-Bond Ramachandran Plot Defines
    Amino Acid Pairs as Local Structural Units.” <i>Proceedings of the National Academy
    of Sciences</i>. National Academy of Sciences, 2023. <a href="https://doi.org/10.1073/pnas.2301064120">https://doi.org/10.1073/pnas.2301064120</a>.
  ieee: A. A. Rosenberg, N. Yehishalom, A. Marx, and A. M. Bronstein, “An amino-domino
    model described by a cross-peptide-bond Ramachandran plot defines amino acid pairs
    as local structural units,” <i>Proceedings of the National Academy of Sciences</i>,
    vol. 120, no. 44. National Academy of Sciences, 2023.
  ista: Rosenberg AA, Yehishalom N, Marx A, Bronstein AM. 2023. An amino-domino model
    described by a cross-peptide-bond Ramachandran plot defines amino acid pairs as
    local structural units. Proceedings of the National Academy of Sciences. 120(44),
    e2301064120.
  mla: Rosenberg, Aviv A., et al. “An Amino-Domino Model Described by a Cross-Peptide-Bond
    Ramachandran Plot Defines Amino Acid Pairs as Local Structural Units.” <i>Proceedings
    of the National Academy of Sciences</i>, vol. 120, no. 44, e2301064120, National
    Academy of Sciences, 2023, doi:<a href="https://doi.org/10.1073/pnas.2301064120">10.1073/pnas.2301064120</a>.
  short: A.A. Rosenberg, N. Yehishalom, A. Marx, A.M. Bronstein, Proceedings of the
    National Academy of Sciences 120 (2023).
date_created: 2024-10-08T12:50:36Z
date_published: 2023-10-25T00:00:00Z
date_updated: 2024-10-09T11:55:12Z
day: '25'
doi: 10.1073/pnas.2301064120
extern: '1'
external_id:
  pmid:
  - '37878722'
intvolume: '       120'
issue: '44'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1073/pnas.2301064120
month: '10'
oa: 1
oa_version: Published Version
pmid: 1
publication: Proceedings of the National Academy of Sciences
publication_identifier:
  eissn:
  - 1091-6490
  issn:
  - 0027-8424
publication_status: published
publisher: National Academy of Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: An amino-domino model described by a cross-peptide-bond Ramachandran plot defines
  amino acid pairs as local structural units
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 120
year: '2023'
...
---
_id: '18217'
abstract:
- lang: eng
  text: A central challenge in building robotic prostheses is the creation of a sensor-based
    system able to read physiological signals from the lower limb and instruct a robotic
    hand to perform various tasks. Existing systems typically perform discrete gestures
    such as pointing or grasping, by employing electromyography (EMG) or ultrasound
    (US) technologies to analyze muscle states. While estimating finger gestures has
    been done in the past by detecting prominent gestures, we are interested in detection,
    or inference, done in the context of fine motions that evolve over time. Examples
    include motions occurring when performing fine and dexterous tasks such as keyboard
    typing or piano playing. We consider this task as an important step towards higher
    adoption rates of robotic prostheses among arm amputees, as it has the potential
    to dramatically increase functionality in performing daily tasks. To this end,
    we present an end-to-end robotic system, which can successfully infer fine finger
    motions. This is achieved by modeling the hand as a robotic manipulator and using
    it as an intermediate representation to encode muscles' dynamics from a sequence
    of US images. We evaluated our method by collecting data from a group of subjects
    and demonstrating how it can be used to replay music played or text typed. To
    the best of our knowledge, this is the first study demonstrating these downstream
    tasks within an end-to-end system.
article_processing_charge: No
arxiv: 1
author:
- first_name: Dean
  full_name: Zadok, Dean
  last_name: Zadok
- first_name: Oren
  full_name: Salzman, Oren
  last_name: Salzman
- first_name: Alon
  full_name: Wolf, Alon
  last_name: Wolf
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
citation:
  ama: 'Zadok D, Salzman O, Wolf A, Bronstein AM. Towards predicting fine finger motions
    from ultrasound images via kinematic representation. In: <i>2023 IEEE International
    Conference on Robotics and Automation</i>. Vol 27. IEEE; 2023. doi:<a href="https://doi.org/10.1109/icra48891.2023.10160601">10.1109/icra48891.2023.10160601</a>'
  apa: 'Zadok, D., Salzman, O., Wolf, A., &#38; Bronstein, A. M. (2023). Towards predicting
    fine finger motions from ultrasound images via kinematic representation. In <i>2023
    IEEE International Conference on Robotics and Automation</i> (Vol. 27). London,
    United Kingdom: IEEE. <a href="https://doi.org/10.1109/icra48891.2023.10160601">https://doi.org/10.1109/icra48891.2023.10160601</a>'
  chicago: Zadok, Dean, Oren Salzman, Alon Wolf, and Alex M. Bronstein. “Towards Predicting
    Fine Finger Motions from Ultrasound Images via Kinematic Representation.” In <i>2023
    IEEE International Conference on Robotics and Automation</i>, Vol. 27. IEEE, 2023.
    <a href="https://doi.org/10.1109/icra48891.2023.10160601">https://doi.org/10.1109/icra48891.2023.10160601</a>.
  ieee: D. Zadok, O. Salzman, A. Wolf, and A. M. Bronstein, “Towards predicting fine
    finger motions from ultrasound images via kinematic representation,” in <i>2023
    IEEE International Conference on Robotics and Automation</i>, London, United Kingdom,
    2023, vol. 27.
  ista: 'Zadok D, Salzman O, Wolf A, Bronstein AM. 2023. Towards predicting fine finger
    motions from ultrasound images via kinematic representation. 2023 IEEE International
    Conference on Robotics and Automation. ICRA: Conference on Robotics and Automation
    vol. 27.'
  mla: Zadok, Dean, et al. “Towards Predicting Fine Finger Motions from Ultrasound
    Images via Kinematic Representation.” <i>2023 IEEE International Conference on
    Robotics and Automation</i>, vol. 27, IEEE, 2023, doi:<a href="https://doi.org/10.1109/icra48891.2023.10160601">10.1109/icra48891.2023.10160601</a>.
  short: D. Zadok, O. Salzman, A. Wolf, A.M. Bronstein, in:, 2023 IEEE International
    Conference on Robotics and Automation, IEEE, 2023.
conference:
  end_date: 2023-06-02
  location: London, United Kingdom
  name: 'ICRA: Conference on Robotics and Automation'
  start_date: 2023-05-29
date_created: 2024-10-08T12:50:55Z
date_published: 2023-07-04T00:00:00Z
date_updated: 2024-10-09T12:00:32Z
day: '04'
doi: 10.1109/icra48891.2023.10160601
extern: '1'
external_id:
  arxiv:
  - '2202.05204'
intvolume: '        27'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2202.05204
month: '07'
oa: 1
oa_version: Preprint
publication: 2023 IEEE International Conference on Robotics and Automation
publication_identifier:
  eisbn:
  - '9798350323658'
publication_status: published
publisher: IEEE
quality_controlled: '1'
scopus_import: '1'
status: public
title: Towards predicting fine finger motions from ultrasound images via kinematic
  representation
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 27
year: '2023'
...
---
_id: '18218'
abstract:
- lang: eng
  text: Deep neural networks are known to be susceptible to adversarial perturbations
    – small perturbations that alter the output of the network and exist under strict
    norm limitations. While such perturbations are usually discussed as tailored to
    a specific input, a universal perturbation can be constructed to alter the model’s
    output on a set of inputs. Universal perturbations present a more realistic case
    of adversarial attacks, as awareness of the model’s exact input is not required.
    In addition, the universal attack setting raises the subject of generalization
    to unseen data, where given a set of inputs, the universal perturbations aim to
    alter the model’s output on out-of-sample data. In this work, we study physical
    passive patch adversarial attacks on visual odometry-based autonomous navigation
    systems. A visual odometry system aims to infer the relative camera motion between
    two corresponding viewpoints, and is frequently used by vision-based autonomous
    navigation systems to estimate their state. For such navigation systems, a patch
    adversarial perturbation poses a severe security issue, as it can be used to mislead
    a system onto some collision course. To the best of our knowledge, we show for
    the first time that the error margin of a visual odometry model can be significantly
    increased by deploying patch adversarial attacks in the scene. We provide evaluation
    on synthetic closed-loop drone navigation data and demonstrate that a comparable
    vulnerability exists in real data. A reference implementation of the proposed
    method and the reported experiments is provided at https://github.com/patchadversarialattacks/patchadversarialattacks.
alternative_title:
- LNCS
article_processing_charge: No
arxiv: 1
author:
- first_name: Yaniv
  full_name: Nemcovsky, Yaniv
  last_name: Nemcovsky
- first_name: Matan
  full_name: Jacoby, Matan
  last_name: Jacoby
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
- first_name: Chaim
  full_name: Baskin, Chaim
  last_name: Baskin
citation:
  ama: 'Nemcovsky Y, Jacoby M, Bronstein AM, Baskin C. Physical passive patch adversarial
    attacks on visual odometry systems. In: <i>16th Asian Conference on Computer Vision</i>.
    Vol 13847. Springer Nature; 2023:518-534. doi:<a href="https://doi.org/10.1007/978-3-031-26293-7_31">10.1007/978-3-031-26293-7_31</a>'
  apa: 'Nemcovsky, Y., Jacoby, M., Bronstein, A. M., &#38; Baskin, C. (2023). Physical
    passive patch adversarial attacks on visual odometry systems. In <i>16th Asian
    Conference on Computer Vision</i> (Vol. 13847, pp. 518–534). Macao, China: Springer
    Nature. <a href="https://doi.org/10.1007/978-3-031-26293-7_31">https://doi.org/10.1007/978-3-031-26293-7_31</a>'
  chicago: Nemcovsky, Yaniv, Matan Jacoby, Alex M. Bronstein, and Chaim Baskin. “Physical
    Passive Patch Adversarial Attacks on Visual Odometry Systems.” In <i>16th Asian
    Conference on Computer Vision</i>, 13847:518–34. Springer Nature, 2023. <a href="https://doi.org/10.1007/978-3-031-26293-7_31">https://doi.org/10.1007/978-3-031-26293-7_31</a>.
  ieee: Y. Nemcovsky, M. Jacoby, A. M. Bronstein, and C. Baskin, “Physical passive
    patch adversarial attacks on visual odometry systems,” in <i>16th Asian Conference
    on Computer Vision</i>, Macao, China, 2023, vol. 13847, pp. 518–534.
  ista: 'Nemcovsky Y, Jacoby M, Bronstein AM, Baskin C. 2023. Physical passive patch
    adversarial attacks on visual odometry systems. 16th Asian Conference on Computer
    Vision. ACCV: Asian Conference on Computer Vision, LNCS, vol. 13847, 518–534.'
  mla: Nemcovsky, Yaniv, et al. “Physical Passive Patch Adversarial Attacks on Visual
    Odometry Systems.” <i>16th Asian Conference on Computer Vision</i>, vol. 13847,
    Springer Nature, 2023, pp. 518–34, doi:<a href="https://doi.org/10.1007/978-3-031-26293-7_31">10.1007/978-3-031-26293-7_31</a>.
  short: Y. Nemcovsky, M. Jacoby, A.M. Bronstein, C. Baskin, in:, 16th Asian Conference
    on Computer Vision, Springer Nature, 2023, pp. 518–534.
conference:
  end_date: 2022-12-08
  location: Macao, China
  name: 'ACCV: Asian Conference on Computer Vision'
  start_date: 2022-12-04
date_created: 2024-10-08T12:51:14Z
date_published: 2023-03-11T00:00:00Z
date_updated: 2024-10-09T12:13:36Z
day: '11'
doi: 10.1007/978-3-031-26293-7_31
extern: '1'
external_id:
  arxiv:
  - '2207.05729'
intvolume: '     13847'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2207.05729
month: '03'
oa: 1
oa_version: Preprint
page: 518-534
publication: 16th Asian Conference on Computer Vision
publication_identifier:
  eisbn:
  - '9783031262937'
  eissn:
  - 1611-3349
  isbn:
  - '9783031262920'
  issn:
  - 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  link:
  - relation: software
    url: https://github.com/patchadversarialattacks/patchadversarialattacks
scopus_import: '1'
status: public
title: Physical passive patch adversarial attacks on visual odometry systems
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13847
year: '2023'
...
---
_id: '18219'
abstract:
- lang: eng
  text: Nowadays, many of the images captured are ‘observed’ by machines only and
    not by humans, e.g., in autonomous systems. High-level machine vision models,
    such as object recognition or semantic segmentation, assume images are transformed
    into some canonical image space by the camera Image Signal Processor (ISP). However,
    the camera ISP is optimized for producing visually pleasing images for human observers
    and not for machines. Therefore, one may spare the ISP compute time and apply
    vision models directly to RAW images. Yet, it has been shown that training such
    models directly on RAW images results in a performance drop. To mitigate this
    drop, we use a RAW and RGB image pairs dataset, which can be easily acquired with
    no human labeling. We then train a model that is applied directly to the RAW data
    by using knowledge distillation such that the model predictions for RAW images
    will be aligned with the predictions of an off-the-shelf pre-trained model for
    processed RGB images. Our experiments show that our performance on RAW images
    for object classification and semantic segmentation is significantly better than
    models trained on labeled RAW images. It also reasonably matches the predictions
    of a pre-trained model on processed RGB images, while saving the ISP compute overhead.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Eli
  full_name: Schwartz, Eli
  last_name: Schwartz
- first_name: Alexander
  full_name: Bronstein, Alexander
  id: 58f3726e-7cba-11ef-ad8b-e6e8cb3904e6
  last_name: Bronstein
  orcid: 0000-0001-9699-8730
- first_name: Raja
  full_name: Giryes, Raja
  last_name: Giryes
citation:
  ama: Schwartz E, Bronstein AM, Giryes R. ISP Distillation. <i>IEEE Open Journal
    of Signal Processing</i>. 2023;4:12-20. doi:<a href="https://doi.org/10.1109/ojsp.2023.3239819">10.1109/ojsp.2023.3239819</a>
  apa: Schwartz, E., Bronstein, A. M., &#38; Giryes, R. (2023). ISP Distillation.
    <i>IEEE Open Journal of Signal Processing</i>. Institute of Electrical and Electronics
    Engineers. <a href="https://doi.org/10.1109/ojsp.2023.3239819">https://doi.org/10.1109/ojsp.2023.3239819</a>
  chicago: Schwartz, Eli, Alex M. Bronstein, and Raja Giryes. “ISP Distillation.”
    <i>IEEE Open Journal of Signal Processing</i>. Institute of Electrical and Electronics
    Engineers, 2023. <a href="https://doi.org/10.1109/ojsp.2023.3239819">https://doi.org/10.1109/ojsp.2023.3239819</a>.
  ieee: E. Schwartz, A. M. Bronstein, and R. Giryes, “ISP Distillation,” <i>IEEE Open
    Journal of Signal Processing</i>, vol. 4. Institute of Electrical and Electronics
    Engineers, pp. 12–20, 2023.
  ista: Schwartz E, Bronstein AM, Giryes R. 2023. ISP Distillation. IEEE Open Journal
    of Signal Processing. 4, 12–20.
  mla: Schwartz, Eli, et al. “ISP Distillation.” <i>IEEE Open Journal of Signal Processing</i>,
    vol. 4, Institute of Electrical and Electronics Engineers, 2023, pp. 12–20, doi:<a
    href="https://doi.org/10.1109/ojsp.2023.3239819">10.1109/ojsp.2023.3239819</a>.
  short: E. Schwartz, A.M. Bronstein, R. Giryes, IEEE Open Journal of Signal Processing
    4 (2023) 12–20.
date_created: 2024-10-08T12:51:32Z
date_published: 2023-01-25T00:00:00Z
date_updated: 2024-10-09T12:24:13Z
day: '25'
doi: 10.1109/ojsp.2023.3239819
extern: '1'
external_id:
  arxiv:
  - '2101.10203'
intvolume: '         4'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1109/OJSP.2023.3239819
month: '01'
oa: 1
oa_version: Published Version
page: 12-20
publication: IEEE Open Journal of Signal Processing
publication_identifier:
  issn:
  - 2644-1322
publication_status: published
publisher: Institute of Electrical and Electronics Engineers
quality_controlled: '1'
scopus_import: '1'
status: public
title: ISP Distillation
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 4
year: '2023'
...
---
OA_place: repository
OA_type: green
_id: '22046'
abstract:
- lang: eng
  text: We show that solutions to the Ablowitz–Ladik system converge to solutions
    of the cubic nonlinear Schrödinger equation for merely L2 initial data. Furthermore,
    we consider initial data for this lattice model that excites Fourier modes near
    both critical points of the discrete dispersion relation and demonstrate convergence
    to a decoupled system of nonlinear Schrödinger equations.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Rowan
  full_name: Killip, Rowan
  last_name: Killip
- first_name: Zhimeng
  full_name: Ouyang, Zhimeng
  last_name: Ouyang
- first_name: Monica
  full_name: Visan, Monica
  id: 056daca0-b8d1-11f0-964f-f91054abf8ca
  last_name: Visan
- first_name: Lei
  full_name: Wu, Lei
  last_name: Wu
citation:
  ama: Killip R, Ouyang Z, Vişan M, Wu L. Continuum limit for the Ablowitz–Ladik system.
    <i>Nonlinearity</i>. 2023;36(7):3751-3775. doi:<a href="https://doi.org/10.1088/1361-6544/acd978">10.1088/1361-6544/acd978</a>
  apa: Killip, R., Ouyang, Z., Vişan, M., &#38; Wu, L. (2023). Continuum limit for
    the Ablowitz–Ladik system. <i>Nonlinearity</i>. IOP Publishing. <a href="https://doi.org/10.1088/1361-6544/acd978">https://doi.org/10.1088/1361-6544/acd978</a>
  chicago: Killip, Rowan, Zhimeng Ouyang, Monica Vişan, and Lei Wu. “Continuum Limit
    for the Ablowitz–Ladik System.” <i>Nonlinearity</i>. IOP Publishing, 2023. <a
    href="https://doi.org/10.1088/1361-6544/acd978">https://doi.org/10.1088/1361-6544/acd978</a>.
  ieee: R. Killip, Z. Ouyang, M. Vişan, and L. Wu, “Continuum limit for the Ablowitz–Ladik
    system,” <i>Nonlinearity</i>, vol. 36, no. 7. IOP Publishing, pp. 3751–3775, 2023.
  ista: Killip R, Ouyang Z, Vişan M, Wu L. 2023. Continuum limit for the Ablowitz–Ladik
    system. Nonlinearity. 36(7), 3751–3775.
  mla: Killip, Rowan, et al. “Continuum Limit for the Ablowitz–Ladik System.” <i>Nonlinearity</i>,
    vol. 36, no. 7, IOP Publishing, 2023, pp. 3751–75, doi:<a href="https://doi.org/10.1088/1361-6544/acd978">10.1088/1361-6544/acd978</a>.
  short: R. Killip, Z. Ouyang, M. Vişan, L. Wu, Nonlinearity 36 (2023) 3751–3775.
das_tickbox: '1'
date_created: 2026-06-19T07:49:24Z
date_published: 2023-06-09T00:00:00Z
date_updated: 2026-06-25T07:54:44Z
day: '09'
doi: 10.1088/1361-6544/acd978
extern: '1'
external_id:
  arxiv:
  - '2206.02720'
intvolume: '        36'
issue: '7'
keyword:
- Ablowitz–Ladik
- continuum limit
- cubic NLS
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2206.02720
mathsc:
- 35Q55
- 37K05
- 37K10
month: '06'
oa: 1
oa_version: Preprint
page: 3751-3775
publication: Nonlinearity
publication_identifier:
  eissn:
  - 1361-6544
  issn:
  - 0951-7715
publication_status: published
publisher: IOP Publishing
quality_controlled: '1'
scopus_import: '1'
status: public
title: Continuum limit for the Ablowitz–Ladik system
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 36
year: '2023'
...
---
OA_place: publisher
OA_type: diamond
_id: '22067'
abstract:
- lang: eng
  text: "We consider the derivative nonlinear Schrödinger equation in one space dimension,
    posed both on the line and on the circle. This model is known to be completely
    integrable and L^2-critical with respect to scaling. We first discuss whether
    ensembles of orbits with L^2-equicontinuous initial data remain equicontinuous
    under evolution. We prove that this is true under the restriction \r\nM(q)=∫∣∣q∣∣2<4π.
    We conjecture that this restriction is unnecessary. Further, we prove that the
    problem is globally well posed for initial data in H1∕6 under the same restriction
    on M. Moreover, we show that this restriction would be removed by a successful
    resolution of our equicontinuity conjecture."
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Rowan
  full_name: Killip, Rowan
  last_name: Killip
- first_name: Maria
  full_name: Ntekoume, Maria
  last_name: Ntekoume
- first_name: Monica
  full_name: Visan, Monica
  id: 056daca0-b8d1-11f0-964f-f91054abf8ca
  last_name: Visan
citation:
  ama: Killip R, Ntekoume M, Vişan M. On the well-posedness problem for the derivativenonlinear
    Schrödinger equation. <i>Analysis &#38; PDE</i>. 2023;16(5):1245-1270. doi:<a
    href="https://doi.org/10.2140/apde.2023.16.1245">10.2140/apde.2023.16.1245</a>
  apa: Killip, R., Ntekoume, M., &#38; Vişan, M. (2023). On the well-posedness problem
    for the derivativenonlinear Schrödinger equation. <i>Analysis &#38; PDE</i>. Mathematical
    Sciences Publishers. <a href="https://doi.org/10.2140/apde.2023.16.1245">https://doi.org/10.2140/apde.2023.16.1245</a>
  chicago: Killip, Rowan, Maria Ntekoume, and Monica Vişan. “On the Well-Posedness
    Problem for the Derivativenonlinear Schrödinger Equation.” <i>Analysis &#38; PDE</i>.
    Mathematical Sciences Publishers, 2023. <a href="https://doi.org/10.2140/apde.2023.16.1245">https://doi.org/10.2140/apde.2023.16.1245</a>.
  ieee: R. Killip, M. Ntekoume, and M. Vişan, “On the well-posedness problem for the
    derivativenonlinear Schrödinger equation,” <i>Analysis &#38; PDE</i>, vol. 16,
    no. 5. Mathematical Sciences Publishers, pp. 1245–1270, 2023.
  ista: Killip R, Ntekoume M, Vişan M. 2023. On the well-posedness problem for the
    derivativenonlinear Schrödinger equation. Analysis &#38; PDE. 16(5), 1245–1270.
  mla: Killip, Rowan, et al. “On the Well-Posedness Problem for the Derivativenonlinear
    Schrödinger Equation.” <i>Analysis &#38; PDE</i>, vol. 16, no. 5, Mathematical
    Sciences Publishers, 2023, pp. 1245–70, doi:<a href="https://doi.org/10.2140/apde.2023.16.1245">10.2140/apde.2023.16.1245</a>.
  short: R. Killip, M. Ntekoume, M. Vişan, Analysis &#38; PDE 16 (2023) 1245–1270.
das_tickbox: '1'
date_created: 2026-06-19T08:15:32Z
date_published: 2023-08-12T00:00:00Z
date_updated: 2026-06-30T07:20:56Z
day: '12'
ddc:
- '500'
doi: 10.2140/apde.2023.16.1245
extern: '1'
external_id:
  arxiv:
  - '2101.12274'
has_accepted_license: '1'
intvolume: '        16'
issue: '5'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.2140/apde.2023.16.1245
mathsc:
- 35Q55
month: '08'
oa: 1
oa_version: Published Version
page: 1245-1270
publication: Analysis & PDE
publication_identifier:
  eissn:
  - 1948-206X
  issn:
  - 2157-5045
publication_status: published
publisher: Mathematical Sciences Publishers
quality_controlled: '1'
scopus_import: '1'
status: public
title: On the well-posedness problem for the derivativenonlinear Schrödinger equation
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: 16
year: '2023'
...
---
OA_place: repository
OA_type: green
_id: '22064'
abstract:
- lang: eng
  text: Using the two-dimensional nonlinear Schrödinger equation as a model example,
    we present a general method for recovering the nonlinearity of a nonlinear dispersive
    equation from its small-data scattering behavior. We prove that under very mild
    assumptions on the nonlinearity, the wave operator uniquely determines the nonlinearity,
    as does the scattering map. Evaluating the scattering map on well-chosen initial
    data, we reduce the problem to an inverse convolution problem, which we solve
    by means of an application of the Beurling–Lax Theorem.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Rowan
  full_name: Killip, Rowan
  last_name: Killip
- first_name: Jason
  full_name: Murphy, Jason
  last_name: Murphy
- first_name: Monica
  full_name: Visan, Monica
  id: 056daca0-b8d1-11f0-964f-f91054abf8ca
  last_name: Visan
citation:
  ama: Killip R, Murphy J, Vişan M. The scattering map determines the nonlinearity.
    <i>Proceedings of the American Mathematical Society</i>. 2023;151(6):2543-2557.
    doi:<a href="https://doi.org/10.1090/proc/16297">10.1090/proc/16297</a>
  apa: Killip, R., Murphy, J., &#38; Vişan, M. (2023). The scattering map determines
    the nonlinearity. <i>Proceedings of the American Mathematical Society</i>. American
    Mathematical Society. <a href="https://doi.org/10.1090/proc/16297">https://doi.org/10.1090/proc/16297</a>
  chicago: Killip, Rowan, Jason Murphy, and Monica Vişan. “The Scattering Map Determines
    the Nonlinearity.” <i>Proceedings of the American Mathematical Society</i>. American
    Mathematical Society, 2023. <a href="https://doi.org/10.1090/proc/16297">https://doi.org/10.1090/proc/16297</a>.
  ieee: R. Killip, J. Murphy, and M. Vişan, “The scattering map determines the nonlinearity,”
    <i>Proceedings of the American Mathematical Society</i>, vol. 151, no. 6. American
    Mathematical Society, pp. 2543–2557, 2023.
  ista: Killip R, Murphy J, Vişan M. 2023. The scattering map determines the nonlinearity.
    Proceedings of the American Mathematical Society. 151(6), 2543–2557.
  mla: Killip, Rowan, et al. “The Scattering Map Determines the Nonlinearity.” <i>Proceedings
    of the American Mathematical Society</i>, vol. 151, no. 6, American Mathematical
    Society, 2023, pp. 2543–57, doi:<a href="https://doi.org/10.1090/proc/16297">10.1090/proc/16297</a>.
  short: R. Killip, J. Murphy, M. Vişan, Proceedings of the American Mathematical
    Society 151 (2023) 2543–2557.
das_tickbox: '1'
date_created: 2026-06-19T08:12:42Z
date_published: 2023-06-01T00:00:00Z
date_updated: 2026-06-30T07:08:20Z
day: '01'
doi: 10.1090/proc/16297
extern: '1'
external_id:
  arxiv:
  - '2207.02414'
intvolume: '       151'
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2207.02414
mathsc:
- 35Q55
month: '06'
oa: 1
oa_version: Preprint
page: 2543-2557
publication: Proceedings of the American Mathematical Society
publication_identifier:
  eissn:
  - 1088-6826
  issn:
  - 0002-9939
publication_status: published
publisher: American Mathematical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: The scattering map determines the nonlinearity
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 151
year: '2023'
...
---
OA_place: repository
OA_type: green
_id: '22072'
abstract:
- lang: eng
  text: We consider the derivative nonlinear Schrödinger equation in one spatial dimension,
    which is known to be completely integrable. We prove that the orbits of L^2 bounded
    and equicontinuous sets of initial data remain bounded and equicontinuous, not
    only under this flow, but also under the entire hierarchy. This allows us to remove
    the small-data restriction from prior conservation laws and global well-posedness
    results.
article_processing_charge: No
article_type: original
arxiv: 1
author:
- first_name: Benjamin
  full_name: Harrop-Griffiths, Benjamin
  last_name: Harrop-Griffiths
- first_name: Rowan
  full_name: Killip, Rowan
  last_name: Killip
- first_name: Monica
  full_name: Visan, Monica
  id: 056daca0-b8d1-11f0-964f-f91054abf8ca
  last_name: Visan
citation:
  ama: Harrop-Griffiths B, Killip R, Vişan M. Large-data equicontinuity for the derivative
    NLS. <i>International Mathematics Research Notices</i>. 2023;2023(6):4601-4642.
    doi:<a href="https://doi.org/10.1093/imrn/rnab374">10.1093/imrn/rnab374</a>
  apa: Harrop-Griffiths, B., Killip, R., &#38; Vişan, M. (2023). Large-data equicontinuity
    for the derivative NLS. <i>International Mathematics Research Notices</i>. Oxford
    University Press. <a href="https://doi.org/10.1093/imrn/rnab374">https://doi.org/10.1093/imrn/rnab374</a>
  chicago: Harrop-Griffiths, Benjamin, Rowan Killip, and Monica Vişan. “Large-Data
    Equicontinuity for the Derivative NLS.” <i>International Mathematics Research
    Notices</i>. Oxford University Press, 2023. <a href="https://doi.org/10.1093/imrn/rnab374">https://doi.org/10.1093/imrn/rnab374</a>.
  ieee: B. Harrop-Griffiths, R. Killip, and M. Vişan, “Large-data equicontinuity for
    the derivative NLS,” <i>International Mathematics Research Notices</i>, vol. 2023,
    no. 6. Oxford University Press, pp. 4601–4642, 2023.
  ista: Harrop-Griffiths B, Killip R, Vişan M. 2023. Large-data equicontinuity for
    the derivative NLS. International Mathematics Research Notices. 2023(6), 4601–4642.
  mla: Harrop-Griffiths, Benjamin, et al. “Large-Data Equicontinuity for the Derivative
    NLS.” <i>International Mathematics Research Notices</i>, vol. 2023, no. 6, Oxford
    University Press, 2023, pp. 4601–42, doi:<a href="https://doi.org/10.1093/imrn/rnab374">10.1093/imrn/rnab374</a>.
  short: B. Harrop-Griffiths, R. Killip, M. Vişan, International Mathematics Research
    Notices 2023 (2023) 4601–4642.
das_tickbox: '1'
date_created: 2026-06-19T08:22:03Z
date_published: 2023-03-01T00:00:00Z
date_updated: 2026-06-30T10:56:42Z
day: '01'
doi: 10.1093/imrn/rnab374
extern: '1'
external_id:
  arxiv:
  - '2106.13333'
intvolume: '      2023'
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.48550/arXiv.2106.13333
month: '03'
oa: 1
oa_version: Preprint
page: 4601-4642
publication: International Mathematics Research Notices
publication_identifier:
  eissn:
  - 1687-0247
  issn:
  - 1073-7928
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Large-data equicontinuity for the derivative NLS
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2023
year: '2023'
...
---
_id: '14863'
article_number: EGU23-6157
article_processing_charge: No
author:
- first_name: Andrea
  full_name: Polesello, Andrea
  id: 74c777f4-32da-11ee-b498-874db0835561
  last_name: Polesello
- first_name: Caroline J
  full_name: Muller, Caroline J
  id: f978ccb0-3f7f-11eb-b193-b0e2bd13182b
  last_name: Muller
  orcid: 0000-0001-5836-5350
- first_name: Claudia
  full_name: Pasquero, Claudia
  last_name: Pasquero
- first_name: Agostino N.
  full_name: Meroni, Agostino N.
  last_name: Meroni
citation:
  ama: 'Polesello A, Muller CJ, Pasquero C, Meroni AN. Intensification mechanisms
    of tropical cyclones. In: <i>EGU General Assembly 2023</i>. European Geosciences
    Union; 2023. doi:<a href="https://doi.org/10.5194/egusphere-egu23-6157">10.5194/egusphere-egu23-6157</a>'
  apa: 'Polesello, A., Muller, C. J., Pasquero, C., &#38; Meroni, A. N. (2023). Intensification
    mechanisms of tropical cyclones. In <i>EGU General Assembly 2023</i>. Vienna,
    Austria &#38; Virtual: European Geosciences Union. <a href="https://doi.org/10.5194/egusphere-egu23-6157">https://doi.org/10.5194/egusphere-egu23-6157</a>'
  chicago: Polesello, Andrea, Caroline J Muller, Claudia Pasquero, and Agostino N.
    Meroni. “Intensification Mechanisms of Tropical Cyclones.” In <i>EGU General Assembly
    2023</i>. European Geosciences Union, 2023. <a href="https://doi.org/10.5194/egusphere-egu23-6157">https://doi.org/10.5194/egusphere-egu23-6157</a>.
  ieee: A. Polesello, C. J. Muller, C. Pasquero, and A. N. Meroni, “Intensification
    mechanisms of tropical cyclones,” in <i>EGU General Assembly 2023</i>, Vienna,
    Austria &#38; Virtual, 2023.
  ista: Polesello A, Muller CJ, Pasquero C, Meroni AN. 2023. Intensification mechanisms
    of tropical cyclones. EGU General Assembly 2023. EGU General Assembly, EGU23-6157.
  mla: Polesello, Andrea, et al. “Intensification Mechanisms of Tropical Cyclones.”
    <i>EGU General Assembly 2023</i>, EGU23-6157, European Geosciences Union, 2023,
    doi:<a href="https://doi.org/10.5194/egusphere-egu23-6157">10.5194/egusphere-egu23-6157</a>.
  short: A. Polesello, C.J. Muller, C. Pasquero, A.N. Meroni, in:, EGU General Assembly
    2023, European Geosciences Union, 2023.
conference:
  end_date: 2023-04-28
  location: Vienna, Austria & Virtual
  name: EGU General Assembly
  start_date: 2023-04-23
corr_author: '1'
date_created: 2024-01-22T12:08:12Z
date_published: 2023-04-13T00:00:00Z
date_updated: 2026-07-02T06:42:45Z
day: '13'
ddc:
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department:
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- _id: GradSch
doi: 10.5194/egusphere-egu23-6157
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publication: EGU General Assembly 2023
publication_status: published
publisher: European Geosciences Union
status: public
title: Intensification mechanisms of tropical cyclones
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