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. 2204.10348
  4. Cited By
Simulate Time-integrated Coarse-grained Molecular Dynamics with
  Multi-Scale Graph Networks

Simulate Time-integrated Coarse-grained Molecular Dynamics with Multi-Scale Graph Networks

21 April 2022
Xiang Fu
T. Xie
Nathan J. Rebello
B. Olsen
Tommi Jaakkola
    AI4CE
ArXivPDFHTML

Papers citing "Simulate Time-integrated Coarse-grained Molecular Dynamics with Multi-Scale Graph Networks"

3 / 3 papers shown
Title
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and
  Nonlocal Effects
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects
Oliver T. Unke
Stefan Chmiela
M. Gastegger
Kristof T. Schütt
H. E. Sauceda
K. Müller
151
245
0
01 May 2021
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate
  Interatomic Potentials
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials
Simon L. Batzner
Albert Musaelian
Lixin Sun
Mario Geiger
J. Mailoa
M. Kornbluth
N. Molinari
Tess E. Smidt
Boris Kozinsky
198
1,232
0
08 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
33
158
0
22 Jul 2020
1