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 | 121 | 2017 |
Quantifying Hidden Order out of Equilibrium S Martiniani, PM Chaikin, D Levine Physical Review X 9, 011031, 2019 | 99 | 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 | 76 | 2012 |
Superposition Enhanced Nested Sampling S Martiniani, JD Stevenson, DJ Wales, D Frenkel Physical Review X 4 (3), 031034, 2014 | 60 | 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 | 48 | 2016 |
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 | 46* | 2022 |
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 | 45 | 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 | 45 | 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 | 42 | 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 | 32 | 2015 |
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 | 20 | 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 | 19 | 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 | 15 | 2020 |
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 | 12 | 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 | 9 | 2021 |
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 | 3 | 2023 |
On the complexity of energy landscapes: algorithms and a direct test of the Edwards conjecture S Martiniani University of Cambridge, 2017 | 3 | 2017 |
Bacteria Through Obstacles: Unifying Fluxes, Entropy Production, and Extractable Work in Living Active Matter S Anand, X Ma, S Guo, S Martiniani, X Cheng arXiv preprint arXiv:2308.08421, 2023 | 2 | 2023 |
Predicting and Interpreting Protein Developability via Transfer of Convolutional Sequence Representation AW Golinski, ZD Schmitz, GH Nielsen, B Johnson, D Saha, S Appiah, ... ACS Synthetic Biology 12 (9), 2600-2615, 2023 | 1 | 2023 |