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Data · dataset · 2023

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"

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This record contains databases with data from density functional theory calculations used for training a series of neuroevolution potentials (NEPs), which are also included here.

Description

Information is also included for how to access the databases and run the NEP models. Databases The *.db files are databases with the results from density functional theory (DFT) calculations.

These are sqlite databases in ase format, see here for more information. The demo-database-access.py script illustrates the most basic access. Models The neuroevolution potential (NEP) models described in the publication can be found in the nep-*.txt files.

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They can be used in conjunction with the GPUMD package. The calorine package provides a Python interface to GPUMD. Primitive structures Several primitive structures in extended xyz format can be found in the *.xyz files.

These structures have been relaxed using the NEP models included here. The demo-for-using-structures-and-models.py script illustrates how to access the structures and models.

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Where it is published

Catalogue records · 1

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Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Researchdata.seoai:researchdata.se:doi-10-5281-zenodo-8014365/013 d agoJSON v1
FieldAssertionExtractorEvidence
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