M. Malshe

发表

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

A. Pukrittayakamee, M. Malshe, M. Hagan, 2009, The Journal of chemical physics.

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.

M. Malshe, M. Hagan, L. Raff, 2007, The Journal of chemical physics.

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

M. Malshe, M. Hagan, L. Raff, 2009, The Journal of chemical physics.

Parametrization of interatomic potential functions using a genetic algorithm accelerated with a neural network

Satish T. S. Bukkapatnam, Ranga Komanduri, Lionel M. Raff, 2006 .

Ab initio potential-energy surfaces for complex, multichannel systems using modified novelty sampling and feedforward neural networks.

R Komanduri, M. Malshe, M. Hagan, 2005, The Journal of chemical physics.

Dynamic layer rearrangement during growth of layered oxide films by molecular beam epitaxy.

M. Malshe, D. Morgan, G. Luo, 2014, Nature materials.

The personal blog an 'adda': Empathy and the conversational element in the Indian blogosphere

M. Malshe, Emelia Noronha, 2014 .

An AI-based approach for detecting cells and microbial byproducts in low volume scanning electron microscope images of biofilms

M. Malshe, V. Gadhamshetty, P. Chundi, 2022, Frontiers in Microbiology.

The Phatic Function and the Socializing Element of Personal Blogs

M. Malshe, Emelia Noronha, 2015 .

Creativity and the code: training in Mohinīāṭṭam

M. Malshe, M. Anoop, 2011 .

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

Hui Yang, Ranga Komanduri, Drew Dawson, 2009, Journal of electrocardiology.

Parametrization of analytic interatomic potential functions using neural networks.

R Komanduri, M. Malshe, M. Hagan, 2008, The Journal of chemical physics.

Input vector optimization of feed-forward neural networks for fitting ab initio potential-energy databases.

R. Komanduri, M. Malshe, M. Hagan, 2010, The Journal of chemical physics.

Accurate prediction of higher-level electronic structure energies for large databases using neural networks, Hartree-Fock energies, and small subsets of the database.

R Komanduri, A. Pukrittayakamee, M. Malshe, 2009, The Journal of chemical physics.

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

M. Malshe, R. Komanduri, S. Bukkapatnam, 2009, Journal of electrocardiology.

Classification of atrial fibrillation episodes from sparse electrocardiogram data.

Hui Yang, Ranga Komanduri, Satish Bukkapatnam, 2008, Journal of electrocardiology.

TRANSLATION AND BAKHTIN'S “METALINGUISTICS”

Milind Malshe, Kumar P.V. Amith, M. Malshe, 2005 .

Self-supervised Learning Approach to Detect Corrosion Products in Biofilm images

M. Malshe, P. Chundi, M. Subramaniam, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Accurate prediction of higher-level electronic structure energies for large databases using neural networks, Hartree-Fock energies, and small subsets of the database.

A. Pukrittayakamee, M. Malshe, M. Hagan, 2009, The Journal of chemical physics.