Credit:
©Shutterstock
As part of the JARVIS workshop series, the 7th Artificial Intelligence for Materials Science (AIMS) is a workshop aimed at getting together experts from industry, academia, and government to facilitate highly technical dialogue on the intersection of AI and materials science. Some of the key research areas for materials AI that will be discussed at the meeting are: developing well-curated and diverse datasets, choosing effective representations for materials, inverse materials design, integrating autonomous experiments and theory, challenges and advantages of self-driving laboratories, merging physics-based models with AI models, and choosing appropriate algorithms/workflows. Lastly, uncertainty quantification in AI-based predictions for material properties and issues related to building infrastructure for disseminating AI knowledge are of immense importance for making AI-based materials investigation successful. This workshop is intended to cover all of these challenges.
