activity
20232026
collaborators

6 papers

physics.chem-ph2026

Dielectric Response of Short and Long Range Models of Nonuniform Liquids and Implications for Machine Learned Interatomic Potentials

Atul C. Thakur, Harender S. Dhattarwal, Richard C. Remsing

Dielectric screening of electric fields is modified by interfaces and confinement, and any accurate description of interfacial chemistry necessitates properly modeling the nonunifo…

cond-mat.mtrl-sci2026

Oxygen vacancies beyond the dilute limit in doped CaMnO3 perovskites and implications for screening materials in thermochemical applications

Harender S. Dhattarwal, Colin M. Hylton-Farrington, Ian G. McKendry +2

Thermochemical energy storage (TCES) in oxide perovskites relies on reversible oxygen vacancy formation, and computational high-throughput screening of candidate materials has pred…

physics.chem-ph2025

Electronic Fluctuations and Ionic Dynamics in Molten Silver Iodide

Harender S. Dhattarwal, Richard C. Remsing

Molten salts are high-temperature ionic liquids whose unique combination of strong Coulombic interactions, large polarizabilities, and high ionic conductivities makes them central…

cond-mat.mtrl-sci2025

Electronic Paddlewheels Impact the Dynamics of Superionic Conduction in AgI

Harender S. Dhattarwal, Richard C. Remsing

Solid-state ion conductors hold promise as next generation battery materials. To realize their full potential, an understanding of atomic-scale ion conduction mechanisms is needed,…

physics.chem-ph2023

Electronic paddle-wheels in a solid-state electrolyte

Harender S. Dhattarwal, Rahul Somni, Richard C. Remsing

Solid-state superionic conductors (SSICs) are promising alternatives to liquid electrolytes in batteries and other energy storage technologies. The rational design of SSICs and ult…

physics.chem-ph2023

Dielectric Saturation in Water from a Long Range Machine Learning Model

Harender S. Dhattarwal, Ang Gao, Richard C. Remsing

Machine learning-based neural network potentials have the ability to provide ab initio-level predictions while reaching large length and time scales often limited to empirical forc…