データセット Python suites for high-throughput calculations of the ab-initio quantum Monte Carlo methods

NAKANO, Kosuke SAMURAI ORCID (Center for Basic Research on Materials, National Institute for Materials Science (NIMS)ROR) ; Oto Kohulák (International School for Advanced Studies (SISSA)) ; Abhishek Raghav (International School for Advanced Studies (SISSA)) ; Michele Casula (Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie (IMPMC), Sorbonne Université) ; Sandro Sorella (International School for Advanced Studies (SISSA))

コレクション

引用
NAKANO, Kosuke, Oto Kohulák, Abhishek Raghav, Michele Casula, Sandro Sorella. Python suites for high-throughput calculations of the ab-initio quantum Monte Carlo methods. https://doi.org/10.48505/nims.4231
SAMURAI

説明:

(abstract)

The TREXIO files used for the validation tests in the paper entitled TurboGenius: Python suite for high-throughput calculations of ab initio quantum Monte Carlo methods. The detail about the TREXIO library is described in the JCP article [J. Chem. Phys. 158, 174801 (2023)] and the GitHub repository [https://github.com/TREX-CoE/trexio].

データの性質: simulation

権利情報:

キーワード: Ab initio Quantum Monte Carlo, High-throughput calculations, TurboRVB, TurboGenius

刊行年月日:

出版者: National Institute for Materials Science

掲載誌:

研究助成金:

  • RIKEN HPCI System Research Projects (hp200164, hp210038, hp220060, and hp230030) (Computational resources of the supercomputer Fugaku.)
  • Japan Society for the Promotion of Science (JSPS) Grant-in-Aid for Early Career Scientists (Grant No. JP21K17752)
  • Japan Society for the Promotion of Science (JSPS) Grant-in-Aid for Scientific Re- search (Grant No. JP21K03400)
  • Japan Society for the Promotion of Science (JSPS) MEXT Leading Initiative for Excellent Young Researchers (Grant No. JPMXS0320220025)
  • Japan Society for the Promotion of Science (JSPS) SPS Overseas Research Fellowship

原稿種別: 論文以外のデータ

MDR DOI: https://doi.org/10.48505/nims.4231

公開URL:

関連資料:

その他の識別子:

連絡先:

更新時刻: 2023-11-15 15:38:36 +0900

MDRでの公開時刻: 2023-11-16 13:30:12 +0900

Software / ソフトウェア

Name / 名称 : TREXIO

Version / バージョン : TREXIO version 2.3.2 (and the corresponding Python API version 1.3.2)

Description / 説明 : The detail about the TREXIO library is described in the JCP article [J. Chem. Phys. 158, 174801 (2023)] and the GitHub repository [https://github.com/TREX-CoE/trexio]. The TREXIO files were generated using TREXIO version 2.3.2 (and the corresponding Python API version 1.3.2).

Identifier / ソフトウェアID :

ファイル名 サイズ
ファイル名 trexio_files_to_public_repo.zip
application/zip
サイズ 1.33GB 詳細
ファイル名 README.md (サムネイル)
text/markdown
サイズ 447バイト 詳細