Evolution of genes and genomes on the Drosophila phylogeny AG Clark, MB Eisen, DR Smith, CM Bergman, B Oliver, TA Markow, ... Nature 450 (7167), 203-18, 2007 | 2247 | 2007 |
Molecular dynamics B Leimkuhler, C Matthews Interdisciplinary applied mathematics 39, 443, 2015 | 420 | 2015 |
Rational construction of stochastic numerical methods for molecular sampling B Leimkuhler, C Matthews Applied Mathematics Research eXpress 2013 (1), 34-56, 2013 | 282 | 2013 |
Robust and efficient configurational molecular sampling via Langevin dynamics B Leimkuhler, C Matthews The Journal of chemical physics 138 (17), 2013 | 188 | 2013 |
The computation of averages from equilibrium and nonequilibrium Langevin molecular dynamics B Leimkuhler, C Matthews, G Stoltz IMA Journal of Numerical Analysis 36 (1), 13-79, 2016 | 183 | 2016 |
Efficient molecular dynamics using geodesic integration and solvent–solute splitting B Leimkuhler, C Matthews Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2016 | 76 | 2016 |
Ensemble preconditioning for Markov chain Monte Carlo simulation B Leimkuhler, C Matthews, J Weare Statistics and Computing 28, 277-290, 2018 | 53 | 2018 |
Molecular Dynamics; Interdisciplinary Applied Mathematics B Leimkuhler, C Matthews Springer, 2015 | 42 | 2015 |
On the long-time integration of stochastic gradient systems B Leimkuhler, C Matthews, MV Tretyakov Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2014 | 36 | 2014 |
Partitioned integrators for thermodynamic parameterization of neural networks B Leimkuhler, C Matthews, T Vlaar arXiv preprint arXiv:1908.11843, 2019 | 26 | 2019 |
Umbrella sampling: A powerful method to sample tails of distributions C Matthews, J Weare, A Kravtsov, E Jennings Monthly Notices of the Royal Astronomical Society 480 (3), 4069-4079, 2018 | 26 | 2018 |
Bayesian modeling reveals metabolite‐dependent ultrasensitivity in the cyanobacterial circadian clock L Hong, DO Lavrentovich, A Chavan, E Leypunskiy, E Li, C Matthews, ... Molecular systems biology 16 (6), e9355, 2020 | 17 | 2020 |
Numerical methods for stochastic molecular dynamics B Leimkuhler, C Matthews, B Leimkuhler, C Matthews Molecular Dynamics: With Deterministic and Stochastic Numerical Methods, 261-328, 2015 | 11 | 2015 |
MIST: a simple and efficient molecular dynamics abstraction library for integrator development I Bethune, R Banisch, E Breitmoser, ABK Collis, G Gibb, G Gobbo, ... Computer Physics Communications 236, 224-236, 2019 | 8 | 2019 |
Langevin Markov Chain Monte Carlo with stochastic gradients C Matthews, J Weare arXiv preprint arXiv:1805.08863, 2018 | 3 | 2018 |
Transferability of operational status classification models among different wind turbine types Z Trstanova, A Martinsson, C Matthews, S Jimenez, B Leimkuhler, ... Journal of physics: conference series 1222 (1), 012041, 2019 | 2 | 2019 |
Numerical integrators B Leimkuhler, C Matthews, B Leimkuhler, C Matthews Molecular Dynamics: With Deterministic and Stochastic Numerical Methods, 53-96, 2015 | 2 | 2015 |
Simulating the stochastic dynamics and cascade failure of power networks C Matthews, B Stadie, J Weare, M Anitescu, C Demarco arXiv preprint arXiv:1806.02420, 2018 | 1 | 2018 |
The canonical distribution and stochastic differential equations B Leimkuhler, C Matthews, B Leimkuhler, C Matthews Molecular Dynamics: With Deterministic and Stochastic Numerical Methods, 211-260, 2015 | 1 | 2015 |
Error in the invariant measure of numerical discretization schemes for canonical sampling of molecular dynamics C Matthews The University of Edinburgh, 2013 | 1 | 2013 |