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Multitask machine learning of collective variables for enhanced sampling
  of rare events

Multitask machine learning of collective variables for enhanced sampling of rare events

7 December 2020
Lixin Sun
Jonathan Vandermause
Simon L. Batzner
Yu Xie
David J. Clark
Wei Chen
Boris Kozinsky
ArXivPDFHTML

Papers citing "Multitask machine learning of collective variables for enhanced sampling of rare events"

5 / 5 papers shown
Title
Computing Committor Functions for the Study of Rare Events Using Deep
  Learning
Computing Committor Functions for the Study of Rare Events Using Deep Learning
Qianxiao Li
Bo Lin
W. Ren
51
68
0
14 Jun 2019
Capabilities and Limitations of Time-lagged Autoencoders for Slow Mode
  Discovery in Dynamical Systems
Capabilities and Limitations of Time-lagged Autoencoders for Slow Mode Discovery in Dynamical Systems
Wei Chen
Hythem Sidky
Andrew L. Ferguson
53
36
0
02 Jun 2019
Coarse-Graining Auto-Encoders for Molecular Dynamics
Coarse-Graining Auto-Encoders for Molecular Dynamics
Wujie Wang
Rafael Gómez-Bombarelli
AI4CE
47
167
0
06 Dec 2018
Automated design of collective variables using supervised machine
  learning
Automated design of collective variables using supervised machine learning
Mohammad M. Sultan
Vijay S. Pande
55
121
0
28 Feb 2018
Time-lagged autoencoders: Deep learning of slow collective variables for
  molecular kinetics
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics
C. Wehmeyer
Frank Noé
AI4CE
BDL
148
360
0
30 Oct 2017
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