Rutgers University · Mechanical & Aerospace Engineering
Lab for the
Energy-AI Paradox
AI holds exceptional promise to advance productivity across society — yet today's AI scaling laws demand exponentially growing energy, long before the technology can deliver solutions to the energy challenges it creates. We study the intersection of artificial intelligence and energy systems — combining theory and experiment to understand, predict, and resolve the tensions between AI's growing energy demands and a sustainable future.
Transport Physics with AI
Using AI-accelerated first-principles calculations to uncover how heat and charge move through computing devices — and how to control them.
Energy Materials by Design
Applying chemistry to design and synthesize molecular materials with tailored electronic and thermal properties.
Optical Imaging at the Nanoscale
Pushing optical spectroscopy beyond the diffraction limit to image energy transport in real materials and devices.
