Workshop on Materials Informatics and Multiscale Modelling (24-25th July 2024)

About:

Advancement in materials is essential for technological innovation. Computational modeling of materials at multiple length and time scales provides deeper insights into the physical mechanisms of materials' behavior and yields pathways to tune materials processing, structure properties for advanced applications. Data generated using physics-based computational models offer a unique opportunity to develop machine learning models that can learn materials' intrinsic behavior and, in return, accelerate materials discovery efforts for advanced applications. The objective of this workshop is to give participants a flavor of current state-of-the-art multiscale modeling and data science techniques that can enable accelerated development of materials for advanced applications. Workshop will involve theory and demonstrations on physics-based models, and materials informatics, AI/ML techniques.

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