Redox-Active Compounds for Electrochemical Energy Storage
Our work in energy storage focuses on developing sustainable, high-performance systems by leveraging the charge transport mechanisms of redox-active organic compounds.
Our work in energy storage focuses on developing sustainable, high-performance systems by leveraging the charge transport mechanisms of redox-active organic compounds.
Recycling Technologies Driven by Redox Mediation
To address the environmental challenges of battery disposal, we develop an energy-efficient recycling systems that utilize redox-active organic compounds as charge carriers. Based on advanced process modeling, we also evaluate the economic and environmental benefits of recycling technologies.
To address the environmental challenges of battery disposal, we develop energy-efficient recycling systems that utilize redox-active organic compounds as charge carriers. Based on advanced process modeling, we also evaluate the economic and environmental benefits of recycling technologies.
To address the environmental challenges of battery disposal, we develop an energy-efficient recycling systems that utilize redox-active organic compounds as charge carriers. Based on advanced process modeling, we also evaluate the economic and environmental benefits of recycling technologies.
Thermodynamically controlled chemical regeneration of spent battery cathodes
Photochemical Cathode Recycling for Spent Lithium-Ion Batteries (To be submitted)
Thermodynamically controlled chemical regeneration of spent battery cathodes
Photochemical Cathode Recycling for Spent Lithium-Ion Batteries (To be submitted)
Redox-Mediated Direct Air Capture and CO₂ Conversion
We are advancing electrochemical systems for CO₂ capture and conversion into valuable chemicals (e.g., formic acid and carbon monoxide). Our research integrates machine learning to develop design rationales for redox-active compounds with optimized CO₂ binding affinities.
We are advancing electrochemical systems for CO₂ capture and conversion into valuable chemicals (e.g., formic acid and carbon monoxide). Our research integrates machine learning to develop design rationales for redox-active compounds with optimized CO₂ binding affinities.
Data-Driven Design of Redox-Active Compounds for Electrochemically Mediated Direct Air Capture and CO₂ reduction (To be submitted)
Data-Driven Design of Redox-Active Compounds for Electrochemically Mediated Direct Air Capture and CO₂ reduction (To be submitted)