量子化学包 Jaguar:对最近的发展和独特特征的调查
Yixiang Cao1, Ty Balduf1, Michael D Beachy1
1Schrödinger, Inc., 1540 Broadway, Floor 24, New York, New York 10036, USA.
The Journal of chemical physics
|August 2, 2024
概括
这篇评论详细介绍了量子化学软件"捷",强调了其伪光谱方法和用于预测分子性质,反应途径和光谱的应用. 它还涵盖机器学习集成和材料科学用途.
科学领域:
- 计算化学的计算化学
- 量子化学 是一个量子化学.
- 材料科学 材料科学 材料科学
背景情况:
- 捷是一款商用量子化学软件包,由施罗丁格公司开发.
- 这篇论文是继十多年前发表的一篇文章之后,对捷的第二次评论,记录了其三十年的发展.
研究的目的:
- 提供捷科学能力和特征的全面概述.
- 讨论量子化学方法,工作流程和与化学研究和材料科学相关的应用方面的进展.
- 检查机器学习在量子化学计算中的整合.
主要方法:
- 使用伪光谱方法进行量子化学计算.
- 涵盖多步工作流程,包括质子平衡,过渡状态搜索和光谱组合 (振动,电子循环二元化,NMR).
- 将量子化学计算应用于材料科学,光电子材料,有机半导体和分子催化剂设计.
主要成果:
- 证明了捷在预测pKa,双相稳定性和反应途径方面的实用性.
- 突出了计算博尔兹曼平均光谱和材料特性的能力.
- 展示了机器学习在提高计算效率和财产预测方面的作用.
结论:
- 捷是一种多功能量子化学包,在各种研究领域有广泛的应用.
- 该软件在过去的30年里有了显著的进化,结合了先进的方法和机器学习.
- 这次审查是一个里程碑,反映了捷的持续发展和对计算化学的影响.
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