Dr. Sunghyun Ko is an interdisciplinary scientist passionate about sustainable energy solutions and carbon neutrality. His research focuses on understanding the charge transport mechanisms of redox-active materials for advancing electrochemical energy storage, CO₂ capture & conversion, and environmentally friendly battery recycling.
Dr. Sunghyun Ko is currently a Postdoctoral Associate in the Department of Chemical and Biomolecular Engineering at New York University (NYU), where he designs materials through molecular-level engineering for next-generation energy storage and conversion applications. His current research focuses on synthesizing novel electrode materials via flash joule heating, aiming to reduce reliance on critical metals while achieving enhanced interfacial kinetics.
Dr. Sunghyun Ko is an interdisciplinary scientist passionate about sustainable energy solutions and carbon neutrality. His research focuses on understanding the charge transport mechanisms of redox-active materials for advancing electrochemical energy storage, CO₂ capture & conversion, and environmentally friendly battery recycling.
Dr. Sunghyun Ko is currently a Postdoctoral Associate in the Department of Chemical and Biomolecular Engineering at New York University (NYU), where he designs materials through molecular-level engineering for next-generation energy storage and conversion applications. His current research focuses on synthesizing novel electrode materials via flash joule heating, aiming to reduce reliance on critical metals while achieving enhanced interfacial kinetics.
kosh9501@gmail.com
s.ko@nyu.edu
Dr. Ko's research leverages redox-active organic compounds to address challenges in critical areas of electrochemistry:
Energy storage systems
Battery recycling
CO₂ capture and conversion
Dr. Ko's research leverages redox-active organic compounds to address challenges in critical areas of electrochemistry:
Energy storage systems
Battery recycling
CO₂ capture and conversion
My research approach integrates electrochemical engineering with machine learning to optimize material design and enhance energy sustainability.
My research approach integrates electrochemical engineering with machine learning to optimize material design and enhance energy sustainability.