M. Malshe

<i>Ab initio</i> potential-energy surfaces for complex, multichannel systems using modified novelty sampling and feedforward neural networks

Lionel M. Raff, M. Malshe, Martin Hagan et al. · The Journal of Chemical Physics · 2005 · 152 citations

Natural Sciences, Chemical Engineering, Chemistry +17

Simultaneous fitting of a potential-energy surface and its corresponding force fields using feedforward neural networks

A. Pukrittayakamee, M. Malshe, Martin Hagan et al. · The Journal of Chemical Physics · 2009 · 120 citations

Natural Sciences, Chemical Engineering, Chemistry +17

Linear affine transformations between 3-lead (Frank XYZ leads) vectorcardiogram and 12-lead electrocardiogram signals

Drew Dawson∥, Hui Yang, M. Malshe et al. · Journal of Electrocardiology · 2009 · 81 citations

Engineering, Cardiology, Electrical Engineering +16

Development of generalized potential-energy surfaces using many-body expansions, neural networks, and moiety energy approximations

M. Malshe, R. Narulkar, Lionel M. Raff et al. · The Journal of Chemical Physics · 2009 · 64 citations

Natural Sciences, Chemistry, Computational Chemistry +16

Theoretical investigation of the dissociation dynamics of vibrationally excited vinyl bromide on an <i>ab initio</i> potential-energy surface obtained using modified novelty sampling and feedforward neural networks. II. Numerical application of the method

M. Malshe, Lionel M. Raff, Mark G. Rockley et al. · The Journal of Chemical Physics · 2007 · 59 citations

Natural Sciences, Chemistry, Physics +17