Michael G. Bayne

Development of explicitly correlated and many-body diagrammatic techniques for the investigation of electron-hole correlation in nanomaterials

Michael G. Bayne, 2018 .

Development of effective stochastic potential method using random matrix theory for efficient conformational sampling of semiconductor nanoparticles at non-zero temperatures.

Shikha Nangia, Arindam Chakraborty, Jeremy A Scher, 2018, The Journal of chemical physics.

Infinite-order diagrammatic summation approach to the explicitly correlated congruent transformed Hamiltonian

A. Chakraborty, Michael G. Bayne, J. Drogo, 2013, 1306.2446.

Development of composite control-variate stratified sampling approach for efficient stochastic calculation of molecular integrals

A. Chakraborty, Michael G. Bayne, 2018, 1804.01197.

Derivation of time-dependent transition probability for $2\mathrm{e}-2\mathrm{h}$ generation from $1\mathrm{e}-1\mathrm{h}$ state in the presence of external electromagnetic field

A. Chakraborty, Michael G. Bayne, 2017, 1704.02428.

Development of effective stochastic potential method using random matrix theory for efficient conformational sampling of semiconductor nanoparticles at non-zero temperatures.

Jeremy A Scher, S. Nangia, A. Chakraborty, 2018, The Journal of chemical physics.