No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
The full text of this article is not currently available.
Communication: Separable potential energy surfaces from multiplicative artificial neural networks
8. H.-D. Meyer, F. Gatti, and W. Worth, Multidimensional Quantum Dynamics: MCTDH Theory and Applications (Wiley-VCH, Weinheim, 2009).
23. G. A. Worth
, M. H. Beck
, A. Jäckle
, and H.-D. Meyer
, The MCTDH Package, Version 8.4 (University of Heidelberg, 2007
). See http://mctdh.uni-hd.de
Article metrics loading...
We present a potential energy surface fitting scheme based on multiplicative artificial neural networks. It has the sum of products form required for efficient computation of the dynamics of multidimensional quantum systems with the multi configuration time dependent Hartree method. Moreover, it results in analytic potential energy matrix elements when combined with quantum dynamics methods using Gaussian basis functions, eliminating the need for a local harmonic approximation. Scaling behavior with respect to the complexity of the potential as well as the requested accuracy is discussed.
Full text loading...
Most read this month