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MLMS 2022 : First Workshop on Machine Learning for Materials Science at KDD 2022


When Aug 15, 2022 - Aug 15, 2022
Where Washington DC
Submission Deadline May 26, 2022
Notification Due Jun 20, 2022
Final Version Due Jun 27, 2022
Categories    applied machine learning   materials informatics   microstructure informatics   machine learning

Call For Papers

We invite original research papers on leveraging machine learning for materials science and engineering problems. Works on combining physics knowledge with artificial intelligence/machine learning algorithms are highly encouraged. Topics of interest include, but are not limited to, the following:

- AI/ML frameworks for process-structure-property correlations modelling
- Incorporating physics domain knowledge into deep neural networks
- Discovery of physically interpretable laws from data
- AI/ML techniques for learning and interpretation from material microstructure images
- Materials Datasets (works describing materials data sets with well-curated meta-data, e.g., microstructure images with processing, composition and properties data)

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