## Abstract The predictorβcorrector method for following a reduced gradient (RGF) to determine saddle points [Quapp, W. et al., J Comput Chem 1998, 19, 1087] is further accelerated by a modification allowing an implied corrector step per predictor but almost without additional costs. The stability
How to find a saddle point
β Scribed by Colin M. Smith
- Publisher
- John Wiley and Sons
- Year
- 1990
- Tongue
- English
- Weight
- 608 KB
- Volume
- 37
- Category
- Article
- ISSN
- 0020-7608
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
This paper explains a method for finding saddle points on a multidimensional surface and shows how it may be used to define saddleβpoint seeking curves that have properties similar to wellβknown orthogonal trajectories. It is shown that a gradient extremal is a special case of one of these curves, and its chemical significance as the path, defined by local criteria, which starts from a stable structure and leads to a transition state, is discussed briefly in relation to the intrinsic reaction coordinate. It is emphasized that this theory gives a natural method for locating points that have Hessians of similar structure to those of transition states.
π SIMILAR VOLUMES
We present an algorithm which can be used to find saddle points of non-linear functionals or functions with a large number of variables. The saddle points that can be found have only one unstable direction. The algorithm is tested on a "~" functional and yields the well known circular "critical drop
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