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Computing Absolute Free Energy with Deep Generative Models
v1v2 (latest)

Computing Absolute Free Energy with Deep Generative Models

Journal of Physical Chemistry B (J. Phys. Chem. B), 2020
1 May 2020
Xinqiang Ding
Bin W. Zhang
ArXiv (abs)PDFHTML

Papers citing "Computing Absolute Free Energy with Deep Generative Models"

7 / 7 papers shown
Path Gradients after Flow Matching
Path Gradients after Flow Matching
Lorenz Vaitl
Leon Klein
385
2
0
15 May 2025
Transferable Boltzmann Generators
Transferable Boltzmann Generators
Leon Klein
Frank Noé
529
50
0
20 Jun 2024
Active learning of Boltzmann samplers and potential energies with
  quantum mechanical accuracy
Active learning of Boltzmann samplers and potential energies with quantum mechanical accuracy
Ana Molina-Taborda
Pilar Cossio
O. Lopez-Acevedo
Marylou Gabrié
282
7
0
29 Jan 2024
Equivariant flow matching
Equivariant flow matchingNeural Information Processing Systems (NeurIPS), 2023
Leon Klein
Andreas Krämer
Frank Noé
414
124
0
26 Jun 2023
Learned Mappings for Targeted Free Energy Perturbation between Peptide
  Conformations
Learned Mappings for Targeted Free Energy Perturbation between Peptide ConformationsJournal of Chemical Physics (JCP), 2023
S. Y. Willow
Lulu Kang
David D. L. Minh
136
2
0
24 Jun 2023
Accurate Free Energy Estimations of Molecular Systems Via Flow-based
  Targeted Free Energy Perturbation
Accurate Free Energy Estimations of Molecular Systems Via Flow-based Targeted Free Energy Perturbation
Soo-Jung Lee
Amr H. Mahmoud
M. Lill
217
0
0
23 Feb 2023
Contrastive Learning of Coarse-Grained Force Fields
Contrastive Learning of Coarse-Grained Force FieldsJournal of Chemical Theory and Computation (JCTC), 2022
Xinqiang Ding
Bin W. Zhang
216
29
0
22 May 2022
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