Research

Research Overview

I am a theoretical physicist and computer scientist. My research experience includes, but not limited to, the development and utilization of novel theoretical methods and scientific software codes for modeling quantum materials and atomistic simulations. Additionally, my research focuses on gaining a comprehensive understanding of how these materials respond to external stimuli such as light, electric fields, and magnetic fields. My current research aims to advance materials modelling and simulations by harnessing cutting-edge technologies in high-performance computing (HPC), data science (including artificial intelligence and machine learning), and quantum computing. 

DEVELOPMENTS IN ELECTRONIC STRUCTURE THEORY

Accurate prediction of band gaps is key to design new materials for technological applications. We developed new semilocal exchange-correlation functionals and potentials within density functional theory (DFT) for modeling ground- and excited-states properties. We implemented them in various electronic structure codes (deMon2k, NWChem, VASP, etc. ), and tested them for wide variety of systems ranging from atoms, molecules to solids. Improved lattice constants, band-gaps, excitation energies were obtained with the new functionals in comparison to experiments. Some of the new density functionals are available through Libxc - MGGA_X_MBR (id=716): modified Becke-Roussel by Patra et al, and HYB_MGGA_XC_LC_TMLYP (id=720): Long-range corrected TM-LYP by Jana et al (Thanks to the Libxc team!). The new methods developed and applied in this work contribute to the expanding toolkit of electronic structure theory for challenging problems in the characterization and design of materials.


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SCIENTIFIC SOFTWARE DEVELOPMENT

Treating double excitations within time-dependent DFT (TD-DFT) is one of the most challenging problems in quantum chemistry. Dressed TD-DFT addresses this issue by introducing frequency-dependent terms absent in the “conventional" adiabatic exchange-correlation kernel. In this work, we developed a new algorithm for preselecting the dominant 2h2p (double) excitations in dressed TDDFT and implemented them in deMon2k molecular code. This work is important for understanding photochemical and photophysical processes, and in designing molecular photoswitches.


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STRONG MAGNETIC-FIELD EFFECTS ON INTERMOLECULAR INTERACTIONS

High-field magnets have become an important research tool in the ongoing quest of designing exotic novel materials. However, the influence of strong magnetic fields on the physico-chemical properties of liquid water has been a debated topic for several decades. We performed rigorous quantum calculations for the first time on the water clusters, and showed that it is not possible to measure the effects of magnetic field of the order of 40 T. 


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DEVELOPMENT OF A POLARIZABLE FORCE FIELD FOR MOLECULAR DYNAMICS SIMULATIONS

Most commonly used force fields in classical molecular dynamics and hybrid QM/MM simulations are based on fixed-value point charges for describing the electrostatic interactions. But this simple electrostatic treatment does not include an explicit representation of the intramolecular polarization. To account for polarization, recently, we developed a polarizable potential for describing the interaction between acetonitrile molecules. The electrostatic interaction is represented using a single center multipole expansion (SCME) as has been done previously for H2O whereas the non-electrostatic in a pair-wise fashion.


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Quantum

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Energy related - CFD

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Other


# Last update: 31 March 2023