文献
J-GLOBAL ID:202002265377764012
整理番号:20A2784350
NanoNET:半経験的タイトバインディングモデルのための拡張可能なPythonフレームワーク【JST・京大機械翻訳】
NanoNET: An extendable Python framework for semi-empirical tight-binding models
著者 (9件):
Klymenko M.V.
(ARC Centre of Excellence in Exciton Science, RMIT University, Melbourne, Victoria 3001, Australia)
,
Klymenko M.V.
(Chemical and Quantum Physics, School of Science, RMIT University, Melbourne, Victoria 3001, Australia)
,
Vaitkus J.A.
(ARC Centre of Excellence in Future Low-Energy Electronics Technologies, RMIT University, Melbourne, Victoria 3001, Australia)
,
Vaitkus J.A.
(Chemical and Quantum Physics, School of Science, RMIT University, Melbourne, Victoria 3001, Australia)
,
Smith J.S.
(ARC Centre of Excellence in Future Low-Energy Electronics Technologies, RMIT University, Melbourne, Victoria 3001, Australia)
,
Smith J.S.
(Chemical and Quantum Physics, School of Science, RMIT University, Melbourne, Victoria 3001, Australia)
,
Cole J.H.
(ARC Centre of Excellence in Exciton Science, RMIT University, Melbourne, Victoria 3001, Australia)
,
Cole J.H.
(ARC Centre of Excellence in Future Low-Energy Electronics Technologies, RMIT University, Melbourne, Victoria 3001, Australia)
,
Cole J.H.
(Chemical and Quantum Physics, School of Science, RMIT University, Melbourne, Victoria 3001, Australia)
資料名:
Computer Physics Communications
(Computer Physics Communications)
巻:
259
ページ:
Null
発行年:
2021年
JST資料番号:
E0081C
ISSN:
0010-4655
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)