Computing Committor Functions for the Study of Rare Events Using Deep Learning

14 June 2019

Papers citing "Computing Committor Functions for the Study of Rare Events Using Deep Learning"

10 / 10 papers shown

Title
Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Yueyang Wang Kejun Tang Xili Wang Xiaoliang Wan Weiqing Ren Chao Yang 40 0 0 28 Jan 2025
Machine Learning of Slow Collective Variables and Enhanced Sampling via Spatial Techniques Tuğçe Gökdemir Jakub Rydzewski 29 1 0 31 Dec 2024
Deep Learning Method for Computing Committor Functions with Adaptive Sampling Bo Lin Weiqing Ren 23 3 0 09 Apr 2024
A Finite Expression Method for Solving High-Dimensional Committor Problems Zezheng Song M. Cameron Haizhao Yang 16 6 0 21 Jun 2023
Probing reaction channels via reinforcement learning Senwei Liang Aditya Singh Yuanran Zhu David T. Limmer Chao Yang 23 6 0 27 May 2023
Adaptive importance sampling based on fault tree analysis for piecewise deterministic Markov process G. Chennetier Hassane Chraïbi A. Dutfoy Josselin Garnier 34 2 0 17 Sep 2022
Interpolating between BSDEs and PINNs: deep learning for elliptic and parabolic boundary value problems Nikolas Nusken Lorenz Richter PINN DiffM 31 27 0 07 Dec 2021
Computing the Invariant Distribution of Randomly Perturbed Dynamical Systems Using Deep Learning Bo Lin Qianxiao Li W. Ren 29 8 0 22 Oct 2021
Reinforcement learning of rare diffusive dynamics Avishek Das Dominic C. Rose J. P. Garrahan David T. Limmer 16 27 0 10 May 2021
Friedrichs Learning: Weak Solutions of Partial Differential Equations via Deep Learning Fan Chen J. Huang Chunmei Wang Haizhao Yang 28 30 0 15 Dec 2020