Structure
Characterize materials across length and time scales.
Materials · mechanisms · discovery
Materials for batteries. Understood from atoms to systems.
We integrate first-principles computation, high-throughput screening, synthesis, and multiscale characterization to discover advanced energy materials.
Mechanism
Reveal the origins of electrochemical behavior and degradation.
Discovery
Design and validate materials for next-generation batteries.
Publications
Featured publications
Suppressing Transition Metal Migration via Cation Disorder Engineering for Enhanced Kinetics in Lithium-rich Cathodes
More recent publications
Phosphorus-Enabled Reversible Jahn–Teller Phase Evolution in Manganese Spinel Cathodes
Energy & Environmental Science · Accepted
High-Performance Transparent p-Type Thin-Film Transistor and Circuit with Air-Stable CuI:Cd
Advanced Functional Materials · Vol. 36 · e20710
Synergistic electrochemical oxidation and electrosorption for enhanced arsenic removal using a modified Magnéli phase Ti₄O₇@nanodiamond electrocatalyst
Chemical Engineering Journal · Vol. 521 · 166468
Elucidating lithium-ion diffusion kinetics in cation-disordered rocksalt cathodes
Energy & Environmental Science · Vol. 18 · 2330–2341
Oxygen Dimerization-driven Cation Migration Induces Voltage Hysteresis in Disordered Rocksalt Cathodes
Journal of the American Chemical Society · Vol. 147 · 223–233
Research areas
High energy density Li-ion cathodes
Linking redox chemistry, ion transport, and structural evolution to design cathodes with high capacity and durable cycling.
Computational materials design
Using first-principles calculations, high-throughput screening, and machine learning to explore chemical space systematically.
Sodium-ion battery materials
Establishing chemistry-specific design rules for affordable sodium-ion electrodes with high energy and long cycle life.
Solid-state ion conductors and interfaces
An emerging direction connecting superionic-conductor design with stable solid-solid interfaces.
New members
Join Energy Materials Lab.
Our group is recruiting graduate students and undergraduate researchers interested in lithium-ion batteries, energy materials, first-principles calculations, and machine learning.
우리 연구실은 함께 연구할 대학원생과 학부연구생을 모집하고 있습니다. 리튬이차전지, 에너지소재, 제일원리계산 및 머신러닝에 관심이 있는 학생은 CV와 간단한 자기소개를 보내주세요.