Leveraging Neural Networks and Genetic Algorithms to Refine Electrode Properties in Redox Flow Batteries
<jats:p>Redox flow batteries are a nascent, yet promising, energy storage technology for which widespread deployment is hampered by technical and economic challenges. A performance-determining component in the reactor, present-day electrodes are often borrowed from adjacent electrochemical tec...
Main Authors: | Tenny, Kevin M, Braatz, Richard D, Chiang, Yet-Ming, Brushett, Fikile R |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Chemical Engineering |
Format: | Article |
Language: | English |
Published: |
The Electrochemical Society
2022
|
Online Access: | https://hdl.handle.net/1721.1/142493 |
Similar Items
-
Comparing Physical and Electrochemical Properties of Different Weave Patterns for Carbon Cloth Electrodes in Redox Flow Batteries
by: Tenny, Kevin M, et al.
Published: (2021) -
Microelectrode-Based Sensor for Measuring Operando Active Species Concentrations in Redox Flow Cells
by: Neyhouse, Bertrand J, et al.
Published: (2022) -
Non‐Solvent Induced Phase Separation Enables Designer Redox Flow Battery Electrodes
by: Wan, Charles Tai-Chieh, et al.
Published: (2021) -
Fabrication of high surface area ribbon electrodes for use in redox flow batteries via coaxial electrospinning
by: Yadav, Shashi, et al.
Published: (2021) -
A Comparative Study of Compressive Effects on the Morphology and Performance of Carbon Paper and Cloth Electrodes in Redox Flow Batteries
by: Tenny, Kevin M, et al.
Published: (2022)