Area of research
Materials Chemistry · Electrical and Electronic Engineering
Research interest
Research interests include Materials science, Computer science, Electrolyte, Chemical physics, Battery (electricity), and Molecular dynamics.
Fast-charging aluminium–chalcogen batteries resistant to dendritic shorting
Synthesis of Fluorine-Doped Lithium Argyrodite Solid Electrolytes for Solid-State Lithium Metal Batteries
Graphene overcoats for ultra-high storage density magnetic media
Investigation of Delamination-Induced Performance Decay at the Cathode/LLZO Interface
Graph-Based Approaches for Predicting Solvation Energy in Multiple Solvents: Open Datasets and Machine Learning Models
One-Dimensional Lateral Force Anisotropy at the Atomic Scale in Sliding Single Molecules on a Surface
Machine learning enabled autonomous microstructural characterization in 3D samples
Quantum-Chemically Informed Machine Learning: Prediction of Energies of Organic Molecules with 10 to 14 Non-hydrogen Atoms
Active Learning A Neural Network Model For Gold Clusters & Bulk From Sparse First Principles Training Data
A Long‐Cycle‐Life Lithium–CO<sub>2</sub> Battery with Carbon Neutrality
Machine learning coarse grained models for water
Machine Learning Classical Interatomic Potentials for Molecular Dynamics from First-Principles Training Data
Machine Learning Prediction of Accurate Atomization Energies of Organic Molecules from Low-Fidelity Quantum Chemical Calculations
Machine learning a bond order potential model to study thermal transport in WSe<sub>2</sub>nanostructures
Machine Learning Applied to a Variable Charge Atomistic Model for Cu/Hf Binary Alloy Oxide Heterostructures
Teaching an Old Dog New Tricks: Machine Learning an Improved TIP3P Potential Model for Liquid–Vapor Phase Phenomena
A lithium–oxygen battery with a long cycle life in an air-like atmosphere
Crude-Oil-Repellent Membranes by Atomic Layer Deposition: Oxide Interface Engineering
Defect Dynamics in 2-D MoS<sub>2</sub> Probed by Using Machine Learning, Atomistic Simulations, and High-Resolution Microscopy
Strongly correlated perovskite lithium ion shuttles
Perovskite nickelates as electric-field sensors in salt water
Machine Learning Force Field Parameters from Ab Initio Data
Habituation based synaptic plasticity and organismic learning in a quantum perovskite
Evolutionary Optimization of a Charge Transfer Ionic Potential Model for Ta/Ta-Oxide Heterointerfaces
Alloy-assisted deposition of three-dimensional arrays of atomic gold catalyst for crystal growth studies
<i>Ab Initio</i>-Based Bond Order Potential to Investigate Low Thermal Conductivity of Stanene Nanostructures
Towards accurate prediction of catalytic activity in IrO<sub>2</sub> nanoclusters via first principles-based variable charge force field
Tunable MoS2 bandgap in MoS2-graphene heterostructures