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Identification of microstructures critically affecting material properties using machine learning framework based on metallurgists' thinking process

2022-04-15

Abstract excerpt

In materials science, machine learning has been intensively researched and used in various applications. However, it is still far from achieving intelligence comparable to that of human experts in terms of creativity and explainability. In this paper, we investigate whether machine learning can acquire explainable knowledge without directly introducing problem-specific information such as explicit physical mechani...

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Literature Corpus work
f418ee27-ae89-514b-9076-a767850f6362
DOI
10.21203/rs.3.rs-1551515/v1
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Identification of microstructures critically affecting material properties using machine learning framework based on metallurgists' thinking processDOI 10.21203/rs.3.rs-1551515/v1
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