Our path integral (PI) method development efforts are aimed at both accuracy and efficiency for atomistic simulations of quantum dynamical properties. We develop new real-time PI methods to solve the inherent problems associated with extended ring polymers at lower temperatures and for quantum nuclei. Our developed new methodologies are implemented and shared via our open-source general-purpose MD software DL_POLY Quantum.
Probing and taming solid-solution interfaces of electrochemical reactions where proton/ion transport processes occur has long fascinated the research community. Studying light-matter interactions in the infrared region can provide a swath of information about these complex processes. We are interested in developing new path integral methods that are capable of addressing inherent problems associated with approximate legacy real-time path integral methods such as the infamous curvature problem of CMD for the accurate prediction of the vibrational spectra.
We are broadly interested in adsorptive separation as well as energy conversion and storage and electrocatalytic processes involving redox-active intrinsically porous materials. Our primary objectives are: (i) to gain fundamental insights into structure-property-function relationships in different classes of nanoporous materials for the desired applications and (ii) to develop and employ data-driven algorithms for the accelerated inverse design and discovery of novel materials with superior properties and functions.
