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Physical Review Letters|May 4, 2019
Dynamical Computation of the Density of States and Bayes Factors Using Nonequilibrium Importance SamplingGrant M Rotskoff, Eric Vanden-EijndenJournal of Chemical Theory and Computation|October 18, 2024
Committor Guided Estimates of Molecular Transition RatesAndrew R Mitchell, Grant M RotskoffProceedings of the National Academy of Sciences of the United States of America|June 6, 2018
Robust nonequilibrium pathways to microcompartment assemblyGrant M Rotskoff, Phillip L GeisslerPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|January 15, 2016
Optimal control in nonequilibrium systems: Dynamic Riemannian geometry of the Ising modelGrant M Rotskoff, Gavin E CrooksThe Journal of Chemical Physics|November 15, 2022
Supervised learning and the finite-temperature string method for computing committor functions and reaction ratesMuhammad R Hasyim, Clay H Batton, Kranthi K MandadapuThe Journal of Chemical Physics|June 25, 2026
Scaling transferable coarse-graining with mean force matchingAbigail Park, Shriram Chennakesavalu, Grant M RotskoffPhysical Review. E|March 16, 2022
Learning nonequilibrium control forces to characterize dynamical phase transitionsJiawei Yan, Hugo Touchette, Grant M RotskoffThe Journal of Chemical Physics|April 1, 2023
Ensuring thermodynamic consistency with invertible coarse-grainingShriram Chennakesavalu, David J Toomer, Grant M RotskoffProceedings of the National Academy of Sciences of the United States of America|March 2, 2022
Adaptive Monte Carlo augmented with normalizing flowsMarylou Gabrié, Grant M Rotskoff, Eric Vanden-EijndenPhysical Review. E|March 19, 2025
Discrete generative diffusion models without stochastic differential equations: A tensor network approachLuke Causer, Grant M Rotskoff, Juan P GarrahanPageof 4