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Efficient Generation of Molecular Clusters with Dual-Scale Equivariant
  Flow Matching

Efficient Generation of Molecular Clusters with Dual-Scale Equivariant Flow Matching

10 October 2024
Akshay Subramanian
Shuhui Qu
Cheol Woo Park
Sulin Liu
Janghwan Lee
Rafael Gómez-Bombarelli
ArXiv (abs)PDFHTML

Papers citing "Efficient Generation of Molecular Clusters with Dual-Scale Equivariant Flow Matching"

6 / 6 papers shown
Title
Transferable Boltzmann Generators
Transferable Boltzmann Generators
Leon Klein
Frank Noé
100
19
0
20 Jun 2024
AlphaFold Meets Flow Matching for Generating Protein Ensembles
AlphaFold Meets Flow Matching for Generating Protein Ensembles
Bowen Jing
Bonnie Berger
Tommi Jaakkola
AI4CE
56
107
0
07 Feb 2024
Navigating protein landscapes with a machine-learned transferable
  coarse-grained model
Navigating protein landscapes with a machine-learned transferable coarse-grained model
N. Charron
Felix Musil
Andrea Guljas
Yaoyi Chen
Klara Bonneau
...
B. Husic
Ankit Patel
Gianni De Fabritiis
Frank Noé
C. Clementi
AI4CE
63
13
0
27 Oct 2023
Automated patent extraction powers generative modeling in focused
  chemical spaces
Automated patent extraction powers generative modeling in focused chemical spaces
Akshay Subramanian
Kevin P. Greenman
Alexis Gervaix
Tzuhsiung Yang
Rafael Gómez-Bombarelli
61
6
0
14 Mar 2023
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer
  Ensembles
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles
O. Ganea
L. Pattanaik
Connor W. Coley
Regina Barzilay
K. Jensen
W. Green
Tommi Jaakkola
AI4CE
92
137
0
08 Jun 2021
Tensor field networks: Rotation- and translation-equivariant neural
  networks for 3D point clouds
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds
Nathaniel Thomas
Tess E. Smidt
S. Kearnes
Lusann Yang
Li Li
Kai Kohlhoff
Patrick F. Riley
3DPC
98
978
0
22 Feb 2018
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