圆形受约束的准牛顿方法:高效和强大的单端过渡状态优化算法
1State Key Laboratory of Green Chemical Engineering and Industrial Catalysis, Center for Computational Chemistry and Research Institute of Industrial Catalysis, East China University of Science and Technology, Shanghai 200237, People's Republic of China.
Journal of chemical theory and computation
|September 5, 2025
概括
我们开发了一种新的圆形约束准牛顿 (CCQN) 方法,用于寻找催化中的过渡状态. 这种高效的方法提高了准确性,并减少了对复杂反应的初步猜测的依赖.
科学领域:
- 计算化学
- 化学动力学
- 材料科学
背景情况:
- 定位过渡状态对于理解催化反应机制至关重要.
- 单一的方法是有效的,但对初始猜测很敏感.
- 现有的方法在复杂的系统中难以实现融合.
研究的目的:
- 在异质催化中开发一种强大而高效的过渡状态 (TS) 定位方法.
- 克服单端方法对初始猜测的敏感性.
- 为高通量选和机械研究提供一个工具.
主要方法:
- 介绍一个形约束类纽顿 (CCQN) 方法.
- 使用圆形的约束指导搜索到区域.
- 使用分区的理性函数优化在交叉曲线后进行精细化.
主要成果:
- 在150个过渡状态优化任务中,CCQN取得了93.3%的成功率.
- 这种方法平均需要大约50个能量力评估.
- 即使初始猜测很差,也表现出强大的稳定性和融合效率.
结论:
- 在过渡状态搜索中,CCQN方法提供了显著的改进.
- 它将单端方法的效率与对初始条件的敏感性相结合.
- 为计算催化研究和发现提供了一个有价值的新工具.
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