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Normalizing flows for atomic solids

Normalizing flows for atomic solids

16 November 2021
Peter Wirnsberger
George Papamakarios
Borja Ibarz
S. Racanière
Andy Ballard
Alexander Pritzel
Charles Blundell
ArXivPDFHTML

Papers citing "Normalizing flows for atomic solids"

10 / 10 papers shown
Title
Energy-Based Coarse-Graining in Molecular Dynamics: A Flow-Based Framework Without Data
Energy-Based Coarse-Graining in Molecular Dynamics: A Flow-Based Framework Without Data
Maximilian Stupp
P. S. Koutsourelakis
45
0
0
29 Apr 2025
Accurate and thermodynamically consistent hydrogen equation of state for planetary modeling with flow matching
Accurate and thermodynamically consistent hydrogen equation of state for planetary modeling with flow matching
Hao Xie
Saburo Howard
Guglielmo Mazzola
46
1
0
17 Jan 2025
Deep generative modelling of canonical ensemble with differentiable
  thermal properties
Deep generative modelling of canonical ensemble with differentiable thermal properties
Shuo-Hui Li
Yao-Wen Zhang
Ding Pan
DRL
SyDa
41
1
0
29 Apr 2024
Learned Mappings for Targeted Free Energy Perturbation between Peptide
  Conformations
Learned Mappings for Targeted Free Energy Perturbation between Peptide Conformations
S. Y. Willow
Lulu Kang
David D. L. Minh
11
0
0
24 Jun 2023
Rigid Body Flows for Sampling Molecular Crystal Structures
Rigid Body Flows for Sampling Molecular Crystal Structures
Jonas Köhler
Michele Invernizzi
P. D. Haan
Frank Noé
AI4CE
46
27
0
26 Jan 2023
Laser: Latent Set Representations for 3D Generative Modeling
Laser: Latent Set Representations for 3D Generative Modeling
Pol Moreno
Adam R. Kosiorek
Heiko Strathmann
Daniel Zoran
Rosália G. Schneider
Bjorn Winckler
L. Markeeva
T. Weber
Danilo Jimenez Rezende
BDL
3DV
DRL
45
4
0
13 Jan 2023
Deep Variational Free Energy Approach to Dense Hydrogen
Deep Variational Free Energy Approach to Dense Hydrogen
H.-j. Xie
Ziqun Li
Han Wang
Linfeng Zhang
Lei Wang
52
9
0
13 Sep 2022
Flow Annealed Importance Sampling Bootstrap
Flow Annealed Importance Sampling Bootstrap
Laurence Illing Midgley
Vincent Stimper
G. Simm
Bernhard Schölkopf
José Miguel Hernández-Lobato
43
77
0
03 Aug 2022
Physics Guided Deep Learning for Generative Design of Crystal Materials
  with Symmetry Constraints
Physics Guided Deep Learning for Generative Design of Crystal Materials with Symmetry Constraints
Yong Zhao
Edirisuriya M Dilanga Siriwardane
Zhenyao Wu
Nihang Fu
Mohammed Al-Fahdi
Ming Hu
Jianjun Hu
AI4CE
41
68
0
27 Mar 2022
Machine Learning of Thermodynamic Observables in the Presence of Mode
  Collapse
Machine Learning of Thermodynamic Observables in the Presence of Mode Collapse
K. Nicoli
Christopher J. Anders
L. Funcke
T. Hartung
K. Jansen
Pan Kessel
Shinichi Nakajima
Paolo Stornati
AI4CE
42
13
0
22 Nov 2021
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