Milind Malshe, Ph.D.

Affiliations: 
2009 Mechanical Engineering Oklahoma State University, Stillwater, OK, United States 
Area:
Mechanical Engineering
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"Milind Malshe"

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Ranga Komanduri grad student 2009 Oklahoma State University
 (Development of interatomic potentials based on ab initio methods and neural networks for molecular dynamics simulations.)
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Publications

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Malshe M, Raff LM, Hagan M, et al. (2010) Input vector optimization of feed-forward neural networks for fitting ab initio potential-energy databases. The Journal of Chemical Physics. 132: 204103
Malshe M, Pukrittayakamee A, Raff LM, et al. (2009) Accurate prediction of higher-level electronic structure energies for large databases using neural networks, Hartree-Fock energies, and small subsets of the database. The Journal of Chemical Physics. 131: 124127
Dawson D, Yang H, Malshe M, et al. (2009) Linear affine transformations between 3-lead (Frank XYZ leads) vectorcardiogram and 12-lead electrocardiogram signals. Journal of Electrocardiology. 42: 622-30
Malshe M, Narulkar R, Raff LM, et al. (2009) Development of generalized potential-energy surfaces using many-body expansions, neural networks, and moiety energy approximations. The Journal of Chemical Physics. 130: 184102
Pukrittayakamee A, Malshe M, Hagan M, et al. (2009) Simultaneous fitting of a potential-energy surface and its corresponding force fields using feedforward neural networks. The Journal of Chemical Physics. 130: 134101
Agrawal PM, Malshe M, Narulkar R, et al. (2009) A self-starting method for obtaining analytic potential-energy surfaces from ab initio electronic structure calculations. The Journal of Physical Chemistry. A. 113: 869-77
Malshe M, Narulkar R, Raff LM, et al. (2008) Parametrization of analytic interatomic potential functions using neural networks. The Journal of Chemical Physics. 129: 044111
Bukkapatnam S, Komanduri R, Yang H, et al. (2008) Classification of atrial fibrillation episodes from sparse electrocardiogram data. Journal of Electrocardiology. 41: 292-9
Malshe M, Raff LM, Rockley MG, et al. (2007) Theoretical investigation of the dissociation dynamics of vibrationally excited vinyl bromide on an ab initio potential-energy surface obtained using modified novelty sampling and feedforward neural networks. II. Numerical application of the method. The Journal of Chemical Physics. 127: 134105
Bukkapatnam S, Malshe M, Agrawal PM, et al. (2006) Parametrization of interatomic potential functions using a genetic algorithm accelerated with a neural network Physical Review B - Condensed Matter and Materials Physics. 74
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