| A high-bias, low-variance introduction to machine learning for physicists P Mehta, M Bukov, CH Wang, AGR Day, C Richardson, CK Fisher, ... Physics reports 810, 1-124, 2019 | 1176 | 2019 |
| Ginzburg-Landau theory of the bcc-liquid interface kinetic coefficient KA Wu, CH Wang, JJ Hoyt, A Karma Physical Review B 91 (1), 014107, 2015 | 32 | 2015 |
| Particle-wave duality in quantum tunneling of a bright soliton CH Wang, TM Hong, RK Lee, DW Wang Optics express 20 (20), 22675-22682, 2012 | 31 | 2012 |
| Constrained optimization as ecological dynamics with applications to random quadratic programming in high dimensions P Mehta, W Cui, CH Wang, R Marsland III Physical Review E 99 (5), 052111, 2019 | 25 | 2019 |
| Pinned, locked, pushed, and pulled traveling waves in structured environments CH Wang, S Matin, AB George, KS Korolev Theoretical population biology 127, 102-119, 2019 | 22 | 2019 |
| Thermodynamic paradigm for solution demixing inspired by nuclear transport in living cells CH Wang, P Mehta, M Elbaum Physical review letters 118 (15), 158101, 2017 | 7 | 2017 |
| The strength of protein-protein interactions controls the information capacity and dynamical response of signaling networks CH Wang, CJ Bashor, P Mehta arXiv preprint arXiv:1811.05371, 2018 | 3 | 2018 |
| Simple Causal Relationships in Gene Expression Discovered through Deep Learned Collective Variables CH Wang, K Vetsigian, C Lin, F Firth, G Bradley, L Granovsky, JL England bioRxiv, 2023.01. 18.524617, 2023 | | 2023 |
| Engineering cellular computations through biophysical design CH Wang, C Bashor, P Mehta APS March Meeting Abstracts 2018, P51. 007, 2018 | | 2018 |
| Biophysical constraints on the computational capacity of biochemical signaling networks CH Wang, P Mehta APS March Meeting Abstracts 2017, H4. 003, 2017 | | 2017 |
| Thermodynamics of nuclear transport CH Wang, P Mehta, M Elbaum APS March Meeting Abstracts 2016, P39. 007, 2016 | | 2016 |
Pankaj MehtaProfessor, Physics, Boston UniversityVerified email at bu.edu
