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Updated Branching Plane for Finding Conical Intersections without Coupling Derivative Vectors

机译:更新的分支平面,用于查找不耦合导数向量的圆锥形交叉点

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摘要

The conical intersections (CIs) form a (f-2)-dimensional hyperspace on which two diabatic potential energy surfaces (PESs) belonging to the same symmetry cross, where f is the internal degree of freedom. The branching plane (BP) is a (two-dimensional) plane defined by the difference gradient vector (DGV) and the coupling derivative vector (CDV), and on the BP, the degeneracy of the two adiabatic PESs is lifted. The properties of the BP are often used in the exploration of the conical intersection hyperspace, such as determination of the minimum energy CI or the first-order saddle point in CI. Although both DGV and CDV are necessary to construct the BP in general, CDV is not always available depending on ab initio methods and programs. Therefore, we developed an approach for optimizing critical points on the CI hypersurface without CDV by using a BP updating method, which was shown to be accurate and very useful for minimum energy and saddle point optimization and for the minimum energy path following within the CI hypersurface in numerical tests for C6H6 and C5H8N~+.
机译:圆锥形交叉点(CIs)形成一个(f-2)维超空间,在该空间上属于同一个对称性的两个非绝热势能面(PESs)相交,其中f是内部自由度。分支平面(BP)是由差分梯度向量(DGV)和耦合导数向量(CDV)定义的(二维)平面,并且在BP上提升了两个绝热PES的简并性。 BP的属性通常用于探索圆锥形相交超空间,例如确定最小能量CI或CI中的一阶鞍点。虽然一般来讲,构建BP既需要DGV,也需要CDV,但CDV并非始终可用,这取决于从头开始的方法和程序。因此,我们开发了一种通过使用BP更新方法在没有CDV的情况下优化CI超曲面上临界点的方法,该方法被证明是准确的,对于最小能量和鞍点优化以及CI超曲面内遵循的最小能量路径非常有用在C6H6和C5H8N〜+的数值测试中。

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