So Takamoto,
Chikashi Shinagawa,
Daisuke Motoki,
Kosuke Nakago,
Wenwen Li,
Iori Kurata,
Taku Watanabe,
Yoshihiro Yayama,
Hiroki Iriguchi,
Yusuke Asano,
Tasuku Onodera,
Takafumi Ishii,
Takao Kudo,
Hideki Ono,
Ryohto Sawada,
Ryuichiro Ishitani,
Marc Ong,
Taiki Yamaguchi,
Toshiki Kataoka,
Akihide Hayashi,
Nontawat Charoenphakdee,
Takeshi Ibuka,
Version 0 of Colab Fit Dataset published 2023 via ColabFit
The validation set from HME21. The high-temperature multi-element 2021 (HME21) dataset comprises approximately 25,000 configurations, including 37 elements, used in the training of a universal NNP called PreFerential Potential (PFP). The dataset specifically contains disordered and unstable structures, and structures that include irregular substitutions, as well as varied temperature and density.