A Systematic and General Machine Learning Approach to Build a Consistent Data Set from Different Experiments: Application to the Thermal Conductivity of Methane

A Systematic and General Machine Learning Approach to Build a Consistent Data Set from Different Experiments: Application to the Thermal Conductivity of Methane

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Bibliographic Details
Main Authors: Matheus Máximo-Canadas, Julio Cesar Duarte, Jakler Nichele, Leonardo Santos de Brito Alves, Luiz Octavio Vieira Pereira, Rogerio Ramos, Itamar Borges
Format: Article
Language:English
Published: American Chemical Society 2025-03-01
Series:ACS Engineering Au
Online Access:https://doi.org/10.1021/acsengineeringau.5c00001
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https://doi.org/10.1021/acsengineeringau.5c00001

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