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Supervised Learning and the Finite-Temperature String Method for
  Computing Committor Functions and Reaction Rates

Supervised Learning and the Finite-Temperature String Method for Computing Committor Functions and Reaction Rates

28 July 2021
Muhammad R Hasyim
Clay H. Batton
K. Mandadapu
ArXivPDFHTML

Papers citing "Supervised Learning and the Finite-Temperature String Method for Computing Committor Functions and Reaction Rates"

4 / 4 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
Deep Learning Method for Computing Committor Functions with Adaptive
  Sampling
Deep Learning Method for Computing Committor Functions with Adaptive Sampling
Bo Lin
Weiqing Ren
23
3
0
09 Apr 2024
Probing reaction channels via reinforcement learning
Probing reaction channels via reinforcement learning
Senwei Liang
Aditya Singh
Yuanran Zhu
David T. Limmer
Chao Yang
23
6
0
27 May 2023
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate
  Interatomic Potentials
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials
Simon L. Batzner
Albert Musaelian
Lixin Sun
Mario Geiger
J. Mailoa
M. Kornbluth
N. Molinari
Tess E. Smidt
Boris Kozinsky
221
1,240
0
08 Jan 2021
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