Phase Transitions of Hybrid Perovskites Simulated by Machine-Learning Force Fields Trained on the Fly with Bayesian Inference
Author:
Funder
Austrian Science Fund
Publisher
American Physical Society (APS)
Subject
General Physics and Astronomy
Link
http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevLett.122.225701/fulltext
Reference48 articles.
1. Generalized Neural-Network Representation of High-Dimensional Potential-Energy Surfaces
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5. Exciton Features in 0-, 2-, and 3-Dimensional Networks of [PbI6]4-Octahedra
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