First principles determination of the NH2/ND2(Ã,X̃) branching ratios for photodissociation of NH3/ND3 via full-dimensional quantum dynamics based on a new quasi-diabatic representation of coupled ab initio potential energy surfaces

2012 ◽  
Vol 137 (22) ◽  
pp. 22A541 ◽  
Author(s):  
Jianyi Ma ◽  
Xiaolei Zhu ◽  
Hua Guo ◽  
David R. Yarkony
2017 ◽  
Vol 16 (05) ◽  
pp. 1730001 ◽  
Author(s):  
Alex Brown ◽  
E. Pradhan

In this paper, the use of the neural network (NN) method with exponential neurons for directly fitting ab initio data to generate potential energy surfaces (PESs) in sum-of-product form will be discussed. The utility of the approach will be highlighted using fits of CS2, HFCO, and HONO ground state PESs based upon high-level ab initio data. Using a generic interface between the neural network PES fitting, which is performed in MATLAB, and the Heidelberg multi-configuration time-dependent Hartree (MCTDH) software package, the PESs have been tested via comparison of vibrational energies to experimental measurements. The review demonstrates the potential of the PES fitting method, combined with MCTDH, to tackle high-dimensional quantum dynamics problems.


2008 ◽  
Vol 77 (10) ◽  
Author(s):  
Tao Liang ◽  
W. Gregory Sawyer ◽  
Scott S. Perry ◽  
Susan B. Sinnott ◽  
Simon R. Phillpot

2005 ◽  
Vol 123 (13) ◽  
pp. 134110 ◽  
Author(s):  
Christian R. Evenhuis ◽  
Xin Lin ◽  
Dong H. Zhang ◽  
David Yarkony ◽  
Michael A. Collins

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