John Weidner

John Weidner is a Professor specializing in electrochemical engineering with extensive research in electrochemically active materials, electrochemical processes, and mathematical modeling. His work spans advanced batteries, electrochemical capacitors, fuel cells, hydrogen production, and electrolysis involving gas-fed anodes such as HBr, HCl, and SO₂.

Weidner holds a Ph.D. in Chemical Engineering from North Carolina State University (1991) and a B.S. in Chemical Engineering from the University of Wisconsin-Madison (1986). He has secured significant research funding including a National Science Foundation grant #CBET-2033343 for carbon dioxide electroreduction and a Department of Energy grant #25-6010 for lithium-sulfur battery modeling.

His research interests focus on the synthesis and characterization of electrochemically active materials, design and operation of electrochemical processes, and sophisticated mathematical modeling. Weidner's work has significantly advanced the understanding of electrochemical systems, particularly in battery technology, hydrogen production, and fuel cells. He employs various electroanalytical techniques to study these systems.

Weidner's recent publications demonstrate a strong emphasis on mechano-electrochemical modeling, volume change effects in battery electrodes, hydrogen production via hybrid-sulfur processes, and advanced computational fluid dynamics for electrolysis systems. His work shows a clear progression toward integrating mechanical effects with electrochemical performance in energy storage and conversion systems.

Professional recognition includes being named a Fellow of both the Electrochemical Society (ECS) and the American Institute of Chemical Engineers (AIChE). He also serves as a Program Evaluator (PEV) for ABET, demonstrating his commitment to academic excellence in engineering education.

Weidner has supervised numerous research projects and has made significant contributions to understanding electrochemical phenomena through both experimental work and sophisticated mathematical modeling approaches. His current research continues to address critical challenges in energy storage and conversion technologies.