Feature selection for CO2RR

Published: 30 November 2022| Version 1 | DOI: 10.17632/8zj5nbkt47.1
Contributors:
Sam Lofland,

Description

These data represent the scaled data of a number of features of a membrane electrode assembly. The accompanying code written in Python is for ascertaining the appropriate choice of features to use for machine learning. It also includes the routine for reverse engineering for various ML algorithms to allow for rational choice of model.

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Categories

Catalysis, Machine Learning, Carbon Dioxide Electrochemical Conversion

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