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Machine Learning for Molecular Dynamics on Long Timescales

Machine Learning for Molecular Dynamics on Long Timescales

18 December 2018
Frank Noé
    AI4CE
ArXivPDFHTML

Papers citing "Machine Learning for Molecular Dynamics on Long Timescales"

7 / 7 papers shown
Title
Coupling streaming AI and HPC ensembles to achieve 100-1000x faster
  biomolecular simulations
Coupling streaming AI and HPC ensembles to achieve 100-1000x faster biomolecular simulations
Alexander Brace
I. Yakushin
Heng Ma
Anda Trifan
T. Munson
Ian Foster
A. Ramanathan
Hyungro Lee
Matteo Turilli
S. Jha
AI4CE
27
19
0
10 Apr 2021
Physics-aware, probabilistic model order reduction with guaranteed
  stability
Physics-aware, probabilistic model order reduction with guaranteed stability
Sebastian Kaltenbach
P. Koutsourelakis
DiffM
AI4CE
16
15
0
14 Jan 2021
Artificial intelligence techniques for integrative structural biology of
  intrinsically disordered proteins
Artificial intelligence techniques for integrative structural biology of intrinsically disordered proteins
A. Ramanathan
Henglong Ma
Akash Parvatikar
C. Chennubhotla
AI4CE
23
40
0
01 Dec 2020
Machine learning for molecular simulation
Machine learning for molecular simulation
Frank Noé
A. Tkatchenko
K. Müller
C. Clementi
AI4CE
16
642
0
07 Nov 2019
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
111
356
0
30 Oct 2017
Variational Koopman models: slow collective variables and molecular
  kinetics from short off-equilibrium simulations
Variational Koopman models: slow collective variables and molecular kinetics from short off-equilibrium simulations
Hao Wu
Feliks Nuske
Fabian Paul
Stefan Klus
P. Koltai
Frank Noé
107
126
0
20 Oct 2016
Estimation and uncertainty of reversible Markov models
Estimation and uncertainty of reversible Markov models
Benjamin Trendelkamp-Schroer
Hao Wu
Fabian Paul
Frank Noé
73
129
0
19 Jul 2015
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