Follow
Charles Matthews
Charles Matthews
University of Chicago
Verified email at cmatthe.ws - Homepage
Title
Cited by
Cited by
Year
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
22412007
Molecular dynamics
B Leimkuhler, C Matthews
Interdisciplinary applied mathematics 39, 443, 2015
4092015
Rational construction of stochastic numerical methods for molecular sampling
B Leimkuhler, C Matthews
Applied Mathematics Research eXpress 2013 (1), 34-56, 2013
2782013
Robust and efficient configurational molecular sampling via Langevin dynamics
B Leimkuhler, C Matthews
The Journal of chemical physics 138 (17), 2013
1872013
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
1802016
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
762016
Ensemble preconditioning for Markov chain Monte Carlo simulation
B Leimkuhler, C Matthews, J Weare
Statistics and Computing 28, 277-290, 2018
522018
Molecular Dynamics; Interdisciplinary Applied Mathematics
B Leimkuhler, C Matthews
Springer, 2015
422015
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
352014
Partitioned integrators for thermodynamic parameterization of neural networks
B Leimkuhler, C Matthews, T Vlaar
arXiv preprint arXiv:1908.11843, 2019
262019
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
232018
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
162020
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
112015
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
82019
Langevin Markov Chain Monte Carlo with stochastic gradients
C Matthews, J Weare
arXiv preprint arXiv:1805.08863, 2018
32018
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
22019
Numerical integrators
B Leimkuhler, C Matthews, B Leimkuhler, C Matthews
Molecular Dynamics: With Deterministic and Stochastic Numerical Methods, 53-96, 2015
22015
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
12018
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
12015
Error in the invariant measure of numerical discretization schemes for canonical sampling of molecular dynamics
C Matthews
The University of Edinburgh, 2013
12013
The system can't perform the operation now. Try again later.
Articles 1–20