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As transistors approach atomic limits, heat dissipation has become the defining constraint of modern computing. My research asks a different question: can heat itself be used to compute? Using correlated quantum materials such as vanadium dioxide (VO2), we explore how electronic phase transitions driven by the flow of heat and charge, generate nonlinear dynamics that resemble neural behavior.Ìý

I will discuss our recent experiments revealing spiking, synchronization, Ìýmemory, and stochasticity in Mott oscillators, as well as collective switching in thermally coupled device networks. These studies uncover how local phase transition fluctuations and mesoscale heat transport give rise to emergent order and functional computation. By linking atomic-scale phase transitions to network-level information processing, this work outlines a physical pathway from atoms to bits, pointing toward a thermodynamic framework for intelligent, energy-aware electronics.

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Biography:Ìý

Erbin Qiu is a Postdoctoral Scholar in Physics at the University of California, San Diego. He received his PhD in the Department of Electrical and Computer Engineering at UC San Diego. His research focuses on energy-efficient, brain-inspired computing, where he develops new electronic devices that use heat and physical dynamics, rather than conventional digital logic, to process information.Ìý

His work addresses a fundamental challenge in modern computing: how to advance artificial intelligence while reducing energy consumption and environmental impact. Dr. Qiu has led independent research spanning device design, nanoscale fabrication, and experimental characterization. He is the first and corresponding author of multiple publications in leading journals, includingÌýAdvanced Materials,ÌýPNAS, andÌýApplied Physics Letters. His research has been recognized with several competitive honors, including the Schultz Prize as the sole recipient in the past six years, the Dr. William S.C. Chang Best Dissertation Award (2024) from UC San Diego, and the Von Neumann Distinguished Collaborative Research Award from the U.S. Department of Energy.