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Implicit Transfer Operator Learning: Multiple Time-Resolution Surrogates
  for Molecular Dynamics

Implicit Transfer Operator Learning: Multiple Time-Resolution Surrogates for Molecular Dynamics

29 May 2023
M. Schreiner
Ole Winther
Simon Olsson
    OOD
    AI4CE
ArXivPDFHTML

Papers citing "Implicit Transfer Operator Learning: Multiple Time-Resolution Surrogates for Molecular Dynamics"

11 / 11 papers shown
Title
JAMUN: Transferable Molecular Conformational Ensemble Generation with
  Walk-Jump Sampling
JAMUN: Transferable Molecular Conformational Ensemble Generation with Walk-Jump Sampling
Ameya Daigavane
Bodhi P. Vani
Saeed Saremi
J. Kleinhenz
Joshua Rackers
37
1
0
18 Oct 2024
EquiJump: Protein Dynamics Simulation via SO(3)-Equivariant Stochastic
  Interpolants
EquiJump: Protein Dynamics Simulation via SO(3)-Equivariant Stochastic Interpolants
Allan dos Santos Costa
Ilan Mitnikov
Franco Pellegrini
Ameya Daigavane
Mario Geiger
Zhonglin Cao
Karsten Kreis
Tess E. Smidt
E. Küçükbenli
J. Jacobson
25
0
0
12 Oct 2024
Equivariant Graph Neural Operator for Modeling 3D Dynamics
Equivariant Graph Neural Operator for Modeling 3D Dynamics
Minkai Xu
Jiaqi Han
Aaron Lou
Jean Kossaifi
Arvind Ramanathan
Kamyar Azizzadenesheli
J. Leskovec
Stefano Ermon
A. Anandkumar
AI4CE
19
16
0
19 Jan 2024
Score dynamics: scaling molecular dynamics with picoseconds timestep via
  conditional diffusion model
Score dynamics: scaling molecular dynamics with picoseconds timestep via conditional diffusion model
Tim Hsu
Babak Sadigh
Vasily V. Bulatov
Fei Zhou
10
11
0
02 Oct 2023
Latent Representation and Simulation of Markov Processes via Time-Lagged
  Information Bottleneck
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck
Marco Federici
Patrick Forré
Ryota Tomioka
Bastiaan S. Veeling
8
3
0
13 Sep 2023
Ewald-based Long-Range Message Passing for Molecular Graphs
Ewald-based Long-Range Message Passing for Molecular Graphs
Arthur Kosmala
Johannes Gasteiger
Nicholas Gao
Stephan Günnemann
64
25
0
08 Mar 2023
Internal-Coordinate Density Modelling of Protein Structure: Covariance
  Matters
Internal-Coordinate Density Modelling of Protein Structure: Covariance Matters
Marloes Arts
J. Frellsen
Wouter Boomsma
21
0
0
27 Feb 2023
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning
  Time-Coarsened Dynamics
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
Leon Klein
Andrew Y. K. Foong
T. E. Fjelde
Bruno Mlodozeniec
Marc Brockschmidt
Sebastian Nowozin
Frank Noé
Ryota Tomioka
AI4CE
19
41
0
02 Feb 2023
Auto-Encoding Molecular Conformations
Auto-Encoding Molecular Conformations
R. Winter
Frank Noé
Djork-Arné Clevert
AI4CE
31
12
0
05 Jan 2021
Coarse Graining Molecular Dynamics with Graph Neural Networks
Coarse Graining Molecular Dynamics with Graph Neural Networks
B. Husic
N. Charron
Dominik Lemm
Jiang Wang
Adria Pérez
...
Yaoyi Chen
Simon Olsson
Gianni de Fabritiis
Frank Noé
C. Clementi
AI4CE
29
156
0
22 Jul 2020
Estimation and uncertainty of reversible Markov models
Estimation and uncertainty of reversible Markov models
Benjamin Trendelkamp-Schroer
Hao Wu
Fabian Paul
Frank Noé
68
129
0
19 Jul 2015
1