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About

Henry Chan is a pioneering researcher at the intersection of materials science, polymer electronics, and autonomous laboratory systems. His work focuses on accelerating the discovery and optimization of electronic and semiconducting polymers through the integration of artificial intelligence, robotics, and self-driving laboratory platforms. Chan's most influential contribution, "Self-Driving Laboratory for Polymer Electronics" (2023, 83 citations), demonstrated how automated experimental workflows could dramatically compress the traditionally years-long development cycle for polymer electronic materials — a landmark advance with broad implications for skin-like electronics, printed energy devices, and neuromorphic computing. Building on this foundation, his subsequent research has tackled the notoriously complex structure-property relationships inherent to functional polymers. His work on hydrogen-bonded diketopyrrolopyrrole polymers employed automated fabrication to systematically map how processing conditions govern charge mobility and solid-state behavior, while his most recent studies on autonomous inverse design of electrochromic polymers represent a significant step toward AI-guided materials synthesis with targeted functional outcomes. Together, Chan's body of work positions him as an emerging leader in closing the loop between computational prediction and experimental realization in organic electronics.