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Understanding the Electric Double-Layer Structure, Capacitance, and Charging Dynamics

Journal Article · · Chemical Reviews
 [1]
  1. Department of Chemical and Environmental Engineering, University of California, Riverside, California 92521, United States
+ Show Author Affiliations

Not provided.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
Sponsoring Organization:
USDOE
DOE Contract Number:
AC02-05CH11231
OSTI ID:
1981834
Journal Information:
Chemical Reviews, Vol. 122, Issue 12; ISSN 0009-2665
Publisher:
American Chemical Society
Country of Publication:
United States
Language:
English

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Insights from machine learning of carbon electrodes for electric double layer capacitors journal February 2020
Data-Driven Approach to Understanding the In-Operando Performance of Heteroatom-Doped Carbon Electrodes journal May 2020
Machine learning toward advanced energy storage devices and systems journal January 2021
Data Science Approaches for Electrochemical Engineers: An Introduction through Surrogate Model Development for Lithium-Ion Batteries journal January 2018
Efficient force field and energy emulation through partition of permutationally equivalent atoms journal May 2022

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