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Machine Learning of coarse-grained Molecular Dynamics Force Fields

Machine Learning of coarse-grained Molecular Dynamics Force Fields

4 December 2018
Jiang Wang
Simon Olsson
C. Wehmeyer
Adria Pérez
Nicholas E. Charron
Gianni De Fabritiis
Frank Noe
C. Clementi
    AI4CE
ArXivPDFHTML

Papers citing "Machine Learning of coarse-grained Molecular Dynamics Force Fields"

13 / 13 papers shown
Title
Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers
Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers
Markus J. Buehler
AI4CE
80
2
0
04 Jan 2025
The dark side of the forces: assessing non-conservative force models for atomistic machine learning
The dark side of the forces: assessing non-conservative force models for atomistic machine learning
Filippo Bigi
Marcel F. Langer
Michele Ceriotti
AI4CE
156
9
0
16 Dec 2024
Differentiable Molecular Simulations for Control and Learning
Differentiable Molecular Simulations for Control and Learning
Wujie Wang
Simon Axelrod
Rafael Gómez-Bombarelli
AI4CE
144
49
0
27 Feb 2020
Deep Generative Markov State Models
Deep Generative Markov State Models
Hao Wu
Andreas Mardt
Luca Pasquali
Frank Noe
AI4CE
28
60
0
19 May 2018
Regularisation of Neural Networks by Enforcing Lipschitz Continuity
Regularisation of Neural Networks by Enforcing Lipschitz Continuity
Henry Gouk
E. Frank
Bernhard Pfahringer
M. Cree
106
473
0
12 Apr 2018
Less is more: sampling chemical space with active learning
Less is more: sampling chemical space with active learning
Justin S. Smith
B. Nebgen
Nicholas Lubbers
Olexandr Isayev
A. Roitberg
47
604
0
28 Jan 2018
Sparse learning of stochastic dynamic equations
Sparse learning of stochastic dynamic equations
L. Boninsegna
Feliks Nuske
C. Clementi
27
215
0
06 Dec 2017
Variational Encoding of Complex Dynamics
Variational Encoding of Complex Dynamics
Carlos X. Hernández
H. Wayment-Steele
Mohammad M. Sultan
B. Husic
Vijay S. Pande
AI4CE
49
138
0
23 Nov 2017
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
145
358
0
30 Oct 2017
VAMPnets: Deep learning of molecular kinetics
VAMPnets: Deep learning of molecular kinetics
Andreas Mardt
Luca Pasquali
Hao Wu
Frank Noé
57
542
0
16 Oct 2017
Deep Potential Molecular Dynamics: a scalable model with the accuracy of
  quantum mechanics
Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics
Linfeng Zhang
Jiequn Han
Han Wang
R. Car
E. Weinan
44
1,130
0
30 Jul 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
776
149,474
0
22 Dec 2014
Fast and Accurate Modeling of Molecular Atomization Energies with
  Machine Learning
Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning
M. Rupp
A. Tkatchenko
K. Müller
O. A. von Lilienfeld
AI4CE
115
1,581
0
12 Sep 2011
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