Phase Transitions in Inorganic Halide Perovskites from Machine-Learned Potentials
Journal article, 2023

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Author

Erik Fransson

Chalmers, Physics, Condensed Matter and Materials Theory

Julia Wiktor

Chalmers, Physics, Condensed Matter and Materials Theory

Paul Erhart

Chalmers, Physics, Condensed Matter and Materials Theory

Published in

Journal of Physical Chemistry C

1932-7447 (ISSN) 1932-7455 (eISSN)

Vol. 127 Issue 28 p. 13773-13781

Research Project(s)

Hydrogen trapping by carbides in steel

Swedish Research Council (VR) (2021-05072), 2021-12-01 -- 2025-11-30.

Analysis and Modelling Service for Engineering Materials Studied with Neutrons

Swedish Research Council (VR) (2018-06482), 2018-11-01 -- 2020-12-31.

Atomistic Design of Photoabsorbing Materials

Swedish Research Council (VR) (2019-03993), 2020-01-01 -- 2023-12-31.

Phase behavior and electronic properties of mixed halide perovskites from atomic scale simulations

Swedish Research Council (VR) (2020-04935), 2020-12-01 -- 2024-11-30.

Categorizing

Subject Categories (SSIF 2011)

Inorganic Chemistry

Condensed Matter Physics

Infrastructure

C3SE (Chalmers Centre for Computational Science and Engineering)

Areas of Advance

Materials Science

Identifiers

DOI

10.1021/acs.jpcc.3c01542

Related datasets

Data and code for "Phase transitions in inorganic halide perovskites from machine learning potentials: The impact of size, rate, and the underlying exchange-correlation functional" [dataset]

DOI: 10.5281/zenodo.7454223

More information

Latest update

12/12/2023