Published February 24, 2024 | Version v1
Publication Open

Machine Learning a Universal Harmonic Interatomic Potential for Predicting Phonons in Crystalline Solids

Authors/Creators

  • 1. ROR icon Portland State University

Contributors

Project member:

  • 1. ROR icon Portland State University

Description

This dataset contains the training, validation, and testing dataset for the machine learning model developed in our mauscript entitled "Machine Learning a Universal Harmonic Interatomic Potential for Predicting Phonons in Crystalline Solids" (https://arxiv.org/abs/2402.11383)

Files

Files (12.6 GB)

Name Size
md5:9f2973fc9d58a03b0f55eefdb670a11c
42.9 MB Download
md5:995e67d395243107b905799c7f654e76
184.5 MB Download
md5:fa0efc26dba31d2c5fc78dbe3abcb8ce
1.2 GB Download
md5:ce0ec5212b1b83ea5d5b5ff80e51f130
10.0 GB Download
md5:db591ae674b8cd76a9fa29ab9ae3fab2
1.1 GB Download

Additional details

Software

Repository URL
https://github.com/yimavxia/MLUHIP