ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1902.03336
  4. Cited By
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"

12 / 12 papers shown
Title
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
57
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-clouds
J. M. Bello-Rivas
Anastasia S. Georgiou
J. Guckenheimer
Ioannis G. Kevrekidis
34
3
0
21 Apr 2022
Characterizing metastable states with the help of machine learning
Characterizing metastable states with the help of machine learning
P. Novelli
L. Bonati
Massimiliano Pontil
Michele Parrinello
56
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 data
Ryo Kawada
Katsuhiro Endo
Daisuke Yuhara
K. Yasuoka
AI4CE
51
2
0
02 Feb 2022
Chasing Collective Variables using Autoencoders and biased trajectories
Chasing Collective Variables using Autoencoders and biased trajectories
Zineb Belkacemi
P. Gkeka
T. Lelièvre
G. Stoltz
AI4CE
58
63
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
56
3
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
141
940
0
14 Oct 2020
Molecular Latent Space Simulators
Molecular Latent Space Simulators
Hythem Sidky
Wei Chen
Andrew L. Ferguson
AI4CE
83
34
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
58
44
0
22 Dec 2019
Machine learning for protein folding and dynamics
Machine learning for protein folding and dynamics
Frank Noé
Gianni De Fabritiis
C. Clementi
AI4CE
121
138
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 VAMPnets
Hythem Sidky
Wei Chen
Andrew L. Ferguson
74
55
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 Systems
Wei Chen
Hythem Sidky
Andrew L. Ferguson
76
36
0
02 Jun 2019
1