A Review of Recent Phase Transition Simulation Methods: Saddle Point Search

Author(s):  
Devendra Alhat ◽  
Vernet Lasrado ◽  
Yan Wang

A review of saddle point search methods on a potential energy surface is presented in this paper. Finding saddle points on a complex potential energy surface is the major challenge in modeling and simulating the kinetics of first-order phase transitions. Once the saddle points have been identified and the activation energy for the transition is known, one can apply the kinetic Monte Carlo method to simulate the transition process. We consider some factors while reviewing the methods, such as whether the solution is global, the knowledge of the Hessian during the search, the capability to locate multiple saddle points and higher order saddle points, the kind of approximations used for potential energy surface, if any; and the convergence of the methods.

2016 ◽  
Vol 18 (25) ◽  
pp. 16941-16949 ◽  
Author(s):  
J. Espinosa-Garcia ◽  
C. Rangel ◽  
J. C. Corchado

2D representation of the analytical potential energy surface. The saddle point and the complexes in the entry and exit channels are included.


Author(s):  
Lijuan He ◽  
Yan Wang

Simulating phase transformation of materials at the atomistic scale requires the knowledge of saddle points on the potential energy surface (PES). In the existing first-principles saddle point search methods, the requirement of a large number of expensive evaluations of potential energy, e.g. using density functional theory (DFT), limits the application of such algorithms to large systems. Thus, it is meaningful to minimize the number of functional evaluations as DFT simulations during the search process. Furthermore, model-form uncertainty and numerical errors are inherent in DFT and search algorithms. Robustness of the search results should be considered. In this paper, a new search algorithm based on Kriging is presented to search local minima and saddle points on a PES efficiently and robustly. Different from existing searching methods, the algorithm keeps a memory of searching history by constructing surrogate models and uses the search results on the surrogate models to provide the guidance of future search on the PES. The surrogate model is also updated with more DFT simulation results. The algorithm is demonstrated by the examples of Rastrigin and Schwefel functions with a multitude of minima and saddle points.


2018 ◽  
Vol 20 (8) ◽  
pp. 5415-5426 ◽  
Author(s):  
Alexandre Zanchet ◽  
Pablo del Mazo ◽  
Alfredo Aguado ◽  
Octavio Roncero ◽  
Elena Jiménez ◽  
...  

A method is proposed to represent the potential energy surface of reactions involving polyatomic molecules, describing accurately long range interactions and saddle points, to describe low temperature collisions.


1996 ◽  
Vol 250 (2) ◽  
pp. 238-246 ◽  
Author(s):  
P. Chaudhury ◽  
P. Dutta ◽  
P. Bandyopadhyay ◽  
P. Sarkar ◽  
S.P. Bhattacharyya

1986 ◽  
Vol 84 (10) ◽  
pp. 5706-5710 ◽  
Author(s):  
David W. Schwenke ◽  
Rozeanne Steckler ◽  
Franklin B. Brown ◽  
Donald G. Truhlar

1987 ◽  
Vol 86 (4) ◽  
pp. 2443-2444 ◽  
Author(s):  
David W. Schwenke ◽  
Rozeanne Steckler ◽  
Franklin B. Brown ◽  
Donald G. Truhlar

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