This paper is published at Computational Materials Science.
The ASE interface for Moment Tensor Potential can be found here: https://github.com/cengc13/ASEMTP.
Data, and code for "machine learning accelerated discovery of corrosion-resistant high-entropy alloys".
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"single-phase-HEA" includes the original and processed experimental dataset, and files for the machine learning models used to predict single-phase formability of high-entropy alloys.
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"eam-sampling" includes scripts to reproduce the fast sampling of high-entropy alloy configurations using embedded atom method (EAM). The generated structure files are also included.
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"first-principles-calculations" includes example scripts to perform high-throughput DFT calculations and how to generate simple representative bulk and surface structures with one to five elements. The data for each single point calculation is also included.
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"mtp-training" includes the training data and a script to train MTP for AlCrFeNiCo.
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"mtp-simulations" includes scripts that use trained MTP to perform simulations targeting the three corrosion metrics and supporting results shown in SI. The relevant data are also included.
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"generate-sqs-structure" includes the input and output files for generating special quasi-random structures using atat.