量子化学の組み込み方法:材料から生命科学への応用
Leighton O Jones1, Martín A Mosquera1, George C Schatz1
1Department of Chemistry , Northwestern University , Evanston , Illinois 60208 , United States.
Journal of the American Chemical Society
|January 29, 2020
まとめ
量子力学的埋め込み方法は,大きな分子システムに計算コストを削減します. この展望は,QM:MMとQM:QMのアプローチをレビューし,コンピューティング化学のアプリケーションと将来の方向性を強調します.
科学分野:
- コンピュータ化学
- 量子力学
背景:
- 量子力学的な埋め込み方法は 分子計算に革命をもたらします
- これらの方法は,計算コストを削減し,大規模なシステムのスケーリングを改善することを目的としています.
研究 の 目的:
- 量子力学的埋め込み方法の分野について見直す.
- QM:MMとQM:QMのアプローチに焦点を当てて,既存の方法を分類し,レビューする.
主な方法:
- QM:MMとQM:QMの流れに組み込む方法の分類
- 文献のレビュー,理論の裏付け,そして著者の貢献.
- 材料と生命科学における現在の応用を強調する.
主要な成果:
- QM:MMとQM:QMのメリット・デメリットについて
- 材料と生命科学を対象とした例を紹介する.
- 理論を組み込むための将来の見通しと展望を特定する.
結論:
- 大規模なシステムにおける計算化学の進歩には,埋め込み方法が不可欠です.
- 組み込み理論のクロス比較のために標準化されたテストケースが推奨されます.
- この分野は急速に発展しており,将来の発展には大きな可能性を秘めています.
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