DOI,IST REx ID,Title of publication
10.3847/1538-4357/acc4bb,17594,Observable signature of merging stellar-mass black holes in active galactic nuclei
10.1093/mnras/stad1926,17602,Black hole binary formation in AGN discs: from isolation to merger
10.3847/2041-8213/accd6f,17606,A SPectroscopic survey of biased halos in the reionization era (ASPIRE): JWST reveals a filamentary structure around a z = 6.61 Quasar
10.1093/mnrasl/slad016,17611,Absence of the predicted 2022 October outburst of OJ 287 and implications for binary SMBH scenarios
10.1021/jacs.3c04487,17860,Radical single-molecule junctions
10.1021/acs.jpclett.3c01081,17861,Designing long and highly conducting molecular wires with multiple nontrivial topological states
10.1021/jacs.3c02064,17862,Alkane solvent-derived acylation reaction driven by electric fields
10.1016/j.esci.2023.100115,17863,Modulating single-molecule charge transport through external stimulus
10.1021/jacs.2c12059,17864,Topological radical pairs produce ultrahigh conductance in long molecular wires
10.1021/acs.nanolett.2c04098,17865,Voltage-modulated van der waals interaction in single-molecule junctions
10.1039/d2sc06411a,17866,Electric fields drive bond homolysis
10.1038/s41586-023-06122-4,18189,Realization of a fractional quantum Hall state with ultracold atoms
10.1038/s41567-022-01887-3,18190,Probing the onset of quantum avalanches in a many-body localized system
10.1038/s41598-023-32821-z,18207,Water stabilizes an alternate turn conformation in horse heart myoglobin
10.1038/s43588-023-00532-0,18208,Guided diffusion for inverse molecular design
10.1021/acs.joc.2c02381,18209,"Interpretable deep-learning unveils structure–property relationships in polybenzenoid hydrocarbons"
10.1145/3582016.3582029,18212,GRACE: A scalable graph-based approach to accelerating recommendation model inference
10.1145/3561058,18213,GRASP: Scalable graph alignment by spectral corresponding functions
10.14778/3632093.3632106,18214,Demystifying graph sparsification algorithms in graph properties preservation
10.1109/nof58724.2023.10302794,18215,Using deep reinforcement learning for mmWave real-time scheduling