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Nonlinear Discovery of Slow Molecular Modes using State-Free Reversible
  VAMPnets
v1v2 (latest)

Nonlinear Discovery of Slow Molecular Modes using State-Free Reversible VAMPnets

9 February 2019
Wei Chen
Hythem Sidky
Andrew L. Ferguson
ArXiv (abs)PDFHTML

Papers citing "Nonlinear Discovery of Slow Molecular Modes using State-Free Reversible VAMPnets"

18 / 18 papers shown
Random functions as data compressors for machine learning of molecular processes
Random functions as data compressors for machine learning of molecular processes
Jayashrita Debnath
Gerhard Hummer
71
0
0
07 Sep 2025
Machine Learning of Slow Collective Variables and Enhanced Sampling via Spatial Techniques
Machine Learning of Slow Collective Variables and Enhanced Sampling via Spatial TechniquesChemical Physics Reviews (CPR), 2024
Tuğçe Gökdemir
Jakub Rydzewski
287
16
0
31 Dec 2024
Spectral Map for Slow Collective Variables, Markovian Dynamics, and
  Transition State Ensembles
Spectral Map for Slow Collective Variables, Markovian Dynamics, and Transition State EnsemblesJournal of Chemical Theory and Computation (JCTC), 2024
Jakub Rydzewski
136
8
0
10 Sep 2024
Flow Matching for Optimal Reaction Coordinates of Biomolecular System
Flow Matching for Optimal Reaction Coordinates of Biomolecular SystemJournal of Chemical Theory and Computation (JCTC), 2024
Mingyuan Zhang
Zhicheng Zhang
Yong Wang
Hao Wu
244
6
0
30 Aug 2024
Understanding recent deep-learning techniques for identifying collective
  variables of molecular dynamics
Understanding recent deep-learning techniques for identifying collective variables of molecular dynamicsPamm (PAMM), 2023
Wei Zhang
Christof Schütte
337
6
0
01 Jul 2023
Inexact iterative numerical linear algebra for neural network-based
  spectral estimation and rare-event prediction
Inexact iterative numerical linear algebra for neural network-based spectral estimation and rare-event predictionJournal of Chemical Physics (JCP), 2023
J. Strahan
Spencer C. Guo
Chatipat Lorpaiboon
Aaron R Dinner
Jonathan Weare
390
15
0
22 Mar 2023
Learning Geometrically Disentangled Representations of Protein Folding
  Simulations
Learning Geometrically Disentangled Representations of Protein Folding Simulations
N. Joseph Tatro
Payel Das
Pin-Yu Chen
Vijil Chenthamarakshan
Rongjie Lai
AI4CE
186
0
0
20 May 2022
Staying the course: Locating equilibria of dynamical systems on
  Riemannian manifolds defined by point-clouds
Staying the course: Locating equilibria of dynamical systems on Riemannian manifolds defined by point-cloudsJournal of Mathematical Chemistry (J. Math. Chem.), 2022
J. M. Bello-Rivas
Anastasia S. Georgiou
J. Guckenheimer
Ioannis G. Kevrekidis
280
3
0
21 Apr 2022
Characterizing metastable states with the help of machine learning
Characterizing metastable states with the help of machine learningJournal of Chemical Theory and Computation (JCTC), 2022
P. Novelli
L. Bonati
Massimiliano Pontil
Michele Parrinello
179
23
0
15 Apr 2022
MD-GAN with multi-particle input: the machine learning of long-time
  molecular behavior from short-time MD data
MD-GAN with multi-particle input: the machine learning of long-time molecular behavior from short-time MD dataSoft Matter (SM), 2022
Ryo Kawada
Katsuhiro Endo
Daisuke Yuhara
K. Yasuoka
AI4CE
155
4
0
02 Feb 2022
Chasing Collective Variables using Autoencoders and biased trajectories
Chasing Collective Variables using Autoencoders and biased trajectoriesJournal of Chemical Theory and Computation (JCTC), 2021
Zineb Belkacemi
P. Gkeka
T. Lelièvre
G. Stoltz
AI4CE
282
74
0
22 Apr 2021
Accelerated Simulations of Molecular Systems through Learning of their
  Effective Dynamics
Accelerated Simulations of Molecular Systems through Learning of their Effective Dynamics
Pantelis R. Vlachas
Julija Zavadlav
M. Praprotnik
Petros Koumoutsakos
AI4CE
219
4
0
17 Feb 2021
Machine Learning Force Fields
Machine Learning Force Fields
Oliver T. Unke
Stefan Chmiela
H. E. Sauceda
M. Gastegger
I. Poltavsky
Kristof T. Schütt
A. Tkatchenko
K. Müller
AI4CE
409
1,281
0
14 Oct 2020
Molecular Latent Space Simulators
Molecular Latent Space Simulators
Hythem Sidky
Wei Chen
Andrew L. Ferguson
AI4CE
173
41
0
01 Jul 2020
Interpretable Embeddings From Molecular Simulations Using Gaussian
  Mixture Variational Autoencoders
Interpretable Embeddings From Molecular Simulations Using Gaussian Mixture Variational Autoencoders
Yasemin Bozkurt Varolgunes
T. Bereau
J. F. Rudzinski
DRL
166
49
0
22 Dec 2019
Machine learning for protein folding and dynamics
Machine learning for protein folding and dynamicsCurrent Opinion in Structural Biology (Curr. Opin. Struct. Biol.), 2019
Frank Noé
Gianni De Fabritiis
C. Clementi
AI4CE
261
150
0
22 Nov 2019
High-resolution Markov state models for the dynamics of Trp-cage
  miniprotein constructed over slow folding modes identified by state-free
  reversible VAMPnets
High-resolution Markov state models for the dynamics of Trp-cage miniprotein constructed over slow folding modes identified by state-free reversible VAMPnetsJournal of Physical Chemistry B (J. Phys. Chem. B), 2019
Hythem Sidky
Wei Chen
Andrew L. Ferguson
141
62
0
12 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 SystemsJournal of Chemical Physics (JCP), 2019
Wei Chen
Hythem Sidky
Andrew L. Ferguson
238
37
0
02 Jun 2019
1
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