Registration is Open
5th Artificial Intelligence for Materials Science (in-person), July 17-18, 2024, NIST, MD, USA
As a part of the JARVIS workshop series, NIST is sponsoring the 5th Artificial Intelligence for Materials Science (AIMS) workshop. The workshop will be held in-person only at the National Cybersecurity Center of Excellence (NCCoE), located at 9700 Great Seneca Highway, Rockville, MD 20850, from July 17 - 18, 2024. The Materials Genome Initiative (MGI) and the U.S. CHIPS Act both promise to expedite materials discovery through high-throughput computation and high-throughput experiments. The application of artificial-intelligence (AI) tools such as machine-learning, deep-learning and various optimization techniques is critical to achieving such a goal.
Some of the key research areas for materials AI include: developing well-curated and diverse datasets, choosing effective representations for materials, inverse materials design, integrating autonomous experiments and theory, merging physics-based models with AI models, and choosing appropriate algorithms/work-flows. 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 the above-mentioned challenges. To make the workshop as effective as possible we plan to largely but not exclusively focus on inorganic solid-state materials.
Topics addressed in this workshop will include (but not be limited to):
- Datasets and tools for employing AI for materials
- Integrating experiments with AI techniques
- Graph neural networks for materials
- Comparison of AI techniques for materials
- Challenges of applying AI to materials
- Uncertainty quantification and building trust in AI predictions
- Generative modeling
- Using AI to develop classical force-fields
- Natural language processing/Large language models
Registration will be required to attend to cover the cost of lunch and AM break for each day ($120 for regular attendees, $60 for students. Please contact daniel.wines@nist.gov (for student promo code).
If registered participants are interested in presenting a poster, please send name, affiliation, title and abstract to daniel.wines@nist.gov, no later than 5/31/2024.
We are looking forward to seeing you in Maryland, USA.
The organizing committee (Daniel Wines, Kamal Choudhary, Kevin Garrity, Austin McDannald, Brian DeCost, Howie Joress and Francesca Tavazza).
Workshop Registration link: https://www.nist.gov/news-events/events/2024-artificial-intelligence-materials-science-aims-workshop
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