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:
, Shinichi Ookawara, , Description
This dataset includes codes and data to describe the workflow of porous material structural optimization.
Files
Institutions
Tokyo Kogyo Daigaku
Categories
Chemical Engineering