| Energy landscapes for machine learning AJ Ballard, R Das, S Martiniani, D Mehta, L Sagun, JD Stevenson, ... Physical Chemistry Chemical Physics 19 (20), 12585-12603, 2017 | 130 | 2017 |
| Quantifying Hidden Order out of Equilibrium S Martiniani, PM Chaikin, D Levine Physical Review X 9, 011031, 2019 | 109 | 2019 |
| The Mechanism of Iodine Reduction by TiO2 Electrons and the Kinetics of Recombination in Dye Sensitized Solar Cells CE Richards, AY Anderson, S Martinani, CH Law, BC O'Regan The Journal of Physical Chemistry Letters, 2012 | 77 | 2012 |
| Model-free measurement of local entropy production and extractable work in active matter S Ro, B Guo, A Shih, TV Phan, RH Austin, D Levine, PM Chaikin, ... Physical review letters 129 (22), 220601, 2022 | 62* | 2022 |
| Superposition Enhanced Nested Sampling S Martiniani, JD Stevenson, DJ Wales, D Frenkel Physical Review X 4 (3), 031034, 2014 | 62 | 2014 |
| Turning intractable counting into sampling: computing the configurational entropy of three-dimensional jammed packings S Martiniani, KJ Schrenk, JD Stevenson, DJ Wales, D Frenkel Physical Review E 93, 012906, 2016 | 52 | 2016 |
| Numerical test of the Edwards conjecture shows that all packings are equally probable at jamming S Martiniani, KJ Schrenk, K Ramola, B Chakraborty, D Frenkel Nature Physics, 13, 848–851, 2017 | 46 | 2017 |
| Near-infrared absorbing squaraine dye with extended π conjugation for dye-sensitized solar cells C Magistris, S Martiniani, N Barbero, J Park, C Benzi, A Anderson, ... Renewable Energy 60, 672-678, 2013 | 46 | 2013 |
| New insight into the regeneration kinetics of organic dye sensitised solar cells S Martiniani, AY Anderson, CH Law, BC O'Regan, C Barolo Chemical Communications 48 (18), 2406-2408, 2012 | 41 | 2012 |
| Exploiting the potential energy landscape to sample free energy A Ballard, S Martiniani, JD Stevenson, S Somani, DJ Wales WIREs computational molecular science, 2015 | 36 | 2015 |
| Estimating random close packing in polydisperse and bidisperse hard spheres via an equilibrium model of crowding C Anzivino, M Casiulis, T Zhang, AS Moussa, S Martiniani, A Zaccone The Journal of Chemical Physics 158 (4), 2023 | 24 | 2023 |
| High-throughput developability assays enable library-scale identification of producible protein scaffold variants AW Golinski, KM Mischler, S Laxminarayan, NL Neurock, M Fossing, ... Proceedings of the National Academy of Sciences 118 (23), 2021 | 22 | 2021 |
| Structural analysis of high-dimensional basins of attraction S Martiniani, KJ Schrenk, JD Stevenson, DJ Wales, D Frenkel Physical Review E 93 (3), 031301, 2016 | 22 | 2016 |
| Monte Carlo sampling for stochastic weight functions D Frenkel, KJ Schrenk, S Martiniani Proceedings of the National Academy of Sciences 114 (27), 6924-6929, 2017 | 17 | 2017 |
| Correlation lengths in the language of computable information S Martiniani, Y Lemberg, PM Chaikin, D Levine Physical Review Letters 125, 170601, 2020 | 14 | 2020 |
| ColabFit Exchange: open-access datasets for data-driven interatomic potentials JA Vita, EG Fuemmeler, A Gupta, GP Wolfe, AQ Tao, RS Elliott, ... The Journal of Chemical Physics 159, 154802, 2023 | 11 | 2023 |
| Vicsek model by time-interlaced compression: A dynamical computable information density A Cavagna, PM Chaikin, D Levine, S Martiniani, A Puglisi, M Viale Physical Review E 103 (6), 062141, 2021 | 10 | 2021 |
| Transport and energetics of bacterial rectification S Anand, X Ma, S Guo, S Martiniani, X Cheng Proceedings of the National Academy of Sciences 121 (52), e2411608121, 2024 | 4* | 2024 |
| On the complexity of energy landscapes: algorithms and a direct test of the Edwards conjecture S Martiniani University of Cambridge, 2017 | 4 | 2017 |
| On the design space between molecular mechanics and machine learning force fields Y Wang, K Takaba, MS Chen, M Wieder, Y Xu, T Zhu, JZH Zhang, ... arXiv preprint arXiv:2409.01931, 2024 | 3 | 2024 |
Paul M ChaikinSilver Professor of Physics New York University在 nyu.edu 的电子邮件经过验证