Neural network potentials for exploring condensed phase chemical reactivity
Recent advances in machine learning offer powerful tools for exploring complex reaction mechanisms in condensed phases via reactive simulations. In this tutorial review, we describe the key challenges associated with simulating reactions in condensed phases, we introduce neural network potentials an...
Saved in:
Main Authors: | Gomez, Axel, de la Puente, Miguel, David, Rolf, Laage, Damien |
---|---|
Format: | Article |
Language: | English |
Published: |
Académie des sciences
2024-06-01
|
Series: | Comptes Rendus. Chimie |
Subjects: | |
Online Access: | https://comptes-rendus.academie-sciences.fr/chimie/articles/10.5802/crchim.315/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Chemistry & Chemical Reactivity /
by: Kotz, John C.
Published: (2015) -
Computational fracture and thermal analysis of glass-ceramics using ReaxFF reactive molecular dynamics simulations
by: Domenica Rodriguez, et al.
Published: (2025-02-01) -
Structural bioinformatics for rational drug design
by: Soroush Mozaffari, et al.
Published: (2025-01-01) -
Reactivation of latent hepatitis B infection during immunosuppressive therapy with guselkumab for plaque psoriasis: a case report
by: Elena Franchi, et al.
Published: (2023-12-01) -
Bidirectional regulation of reactive oxygen species for radiosensitization in nasopharyngeal carcinoma
by: Jie Chen, et al.
Published: (2025-02-01)