Computing
Physical reservoir computing
Mesoscopic interference, transient dynamics, nonlinear response, temporal memory, and ridge-regression readouts for neuromorphic information processing.
Research
We study how structure, interfaces, defects, and dynamics determine the function of advanced materials—and translate that understanding into devices and intelligent systems.
AI & autonomy
AI-guided materials discovery
Machine learning, experimental design, and process optimization for complex deposition and synthesis landscapes.
Electronics
Oxide and transparent semiconductors
ZnO, SnO, BaSnO₃, β-Ga₂O₃, transparent conductors, thin-film transistors, photodetectors, and power-device concepts.
Quantum transport
Disorder, interfaces, and dimensionality
Quantum-to-classical transport crossovers, mesoscopic conduction, electron–phonon interactions, and engineered interfaces.
Energy
Thermoelectrics and energy materials
Materials and interfaces for energy conversion, solid-state transport, and harsh-environment operation.
Sustainability
Autonomous materials processing
Multi-modal sensing, machine vision, sorting, and intelligent process control for value-preserving resource recovery.
A shared scientific question
How can materials be deliberately engineered to control coupled transport?
Across our projects, we investigate how interfaces, defects, dimensionality, phase stability, and nonequilibrium dynamics can decouple or coordinate electronic, ionic, thermal, optical, and magnetic behavior.
