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R Narulkar

Showing results (1-10 of 4) with videos related to

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The Journal of Chemical Physics|August 7, 2008
Parametrization of analytic interatomic potential functions using neural networksM Malshe, R Narulkar, L M Raff, et al.
The Journal of Chemical Physics|May 20, 2009
Development of generalized potential-energy surfaces using many-body expansions, neural networks, and moiety energy approximationsM Malshe, R Narulkar, L M Raff, et al.
The Journal of Physical Chemistry. A|January 7, 2009
A self-starting method for obtaining analytic potential-energy surfaces from ab initio electronic structure calculationsP M Agrawal, M Malshe, R Narulkar, et al.
The Journal of Chemical Physics|April 10, 2009
Simultaneous fitting of a potential-energy surface and its corresponding force fields using feedforward neural networksA Pukrittayakamee, M Malshe, M Hagan, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
The Journal of Chemical Physics|August 7, 2008
Parametrization of analytic interatomic potential functions using neural networksM Malshe, R Narulkar, L M Raff, et al.
The Journal of Chemical Physics|May 20, 2009
Development of generalized potential-energy surfaces using many-body expansions, neural networks, and moiety energy approximationsM Malshe, R Narulkar, L M Raff, et al.
The Journal of Physical Chemistry. A|January 7, 2009
A self-starting method for obtaining analytic potential-energy surfaces from ab initio electronic structure calculationsP M Agrawal, M Malshe, R Narulkar, et al.
The Journal of Chemical Physics|April 10, 2009
Simultaneous fitting of a potential-energy surface and its corresponding force fields using feedforward neural networksA Pukrittayakamee, M Malshe, M Hagan, et al.
Pageof 1