Workflow for materials processing model-driven discovery framework for porous materials using machine learning and genetic algorithm

Name: Workflow for materials processing model-driven discovery framework for porous materials using machine learning and genetic algorithm
Creator: Tomoki Yasuda
Published: 2022-09-26T08:20:06.399Z
Keywords: Chemical Engineering

Yasuda, Tomoki; Ookawara, Shinichi; Yoshikawa, Shiro; Matsumoto, Hideyuki

doi:10.17632/xx4rtvk5m8.1

Workflow for materials processing model-driven discovery framework for porous materials using machine learning and genetic algorithm

Published: 26 September 2022| Version 1 | DOI: 10.17632/xx4rtvk5m8.1

Contributors:

Tomoki Yasuda, Shinichi Ookawara, Shiro Yoshikawa, Hideyuki Matsumoto

Description

This dataset includes codes and data to describe the workflow of porous material structural optimization.

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Tokyo Kogyo Daigaku

Workflow for materials processing model-driven discovery framework for porous materials using machine learning and genetic algorithm

Description

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Institutions

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