Call for Papers |
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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) |
Summary |
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MLMS 2022 : First Workshop on Machine Learning for Materials Science at KDD 2022 will take place in Washington DC. It’s a 1 day event starting on Aug 15, 2022 (Monday) and will be winded up on Aug 15, 2022 (Monday). MLMS 2022 falls under the following areas: APPLIED MACHINE LEARNING, MATERIALS INFORMATICS, MICROSTRUCTURE INFORMATICS, MACHINE LEARNING, etc. Submissions for this Workshop can be made by May 26, 2022. Authors can expect the result of submission by Jun 20, 2022. Upon acceptance, authors should submit the final version of the manuscript on or before Jun 27, 2022 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the MLMS 2022
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Credits and Sources |
| [1] MLMS 2022 : First Workshop on Machine Learning for Materials Science at KDD 2022 |
