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Artificial Intelligence for Materials Science (AIMS) Workshop

AIMS 2025 Workshop
Credit: Crissy Robinson/NIST

As part of the JARVIS workshop series, the 6th Artificial Intelligence for Materials Science (AIMS) workshop will be held as an in-person only event at the National Cybersecurity Center of Excellence (NCCoE) located at 9700 Great Seneca Highway in Rockville, Maryland on July 9 - 10, 2025. This event is sponsored by the National Institute of Standards and Technology (NIST).

The scope of the workshop is briefly stated below:

The Materials Genome Initiative (MGI) promises 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, challenges and advantages of self-driving laboratories, 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

- Foundation models

- Machine learning force fields

- Large language models

- Autonomous experimentation

If registered participants are interested in presenting a poster, please send name, affiliation, title, and abstract to daniel.wines [at] nist.gov (daniel[dot]wines[at]nist[dot]gov), no later than June 27, 2025. We plan to hold a best poster competition for early career researchers.


List of Speakers

Jiaman HuWisconsin
Tess SmidtMIT
Brandon WoodMeta
Heather KulikMIT
Joseph KrauseRadical AI
Ichiro TakeuchiUMD
Martin SeifridNC State
Olexandr IsayevCMU
Ali HamzeSamsung
Simon J.L. BillingeColumbia
Ankit AgrawalNorthwestern
Jason Hattrick-SimpersUniversity of Toronto
Arun Mannodi-KanakkithodiPurdue
Benji MaruyamAFRL
Panchapakesan GaneshORNL
Roberto CarPrinceton
Shengyen LiNIST
Aditya NandyUCLA
Steven TorrisiToyota
Olga S. OvchinnikovaThermo Fisher Scientific
Milad AbolhasaniNC State University
Luis Barroso-LuqueMeta
Nathan JohnsonZEISS
Corey OsesJHU

Check back for updates!

9:00am - 5:00pm ET

 

A room block has been reserved at the following location:

Sheraton Rockville

Address: 920 King Farm Blvd, Rockville, MD 20850

Rate: $159/night (excluding taxes and fees). Rate includes breakfast and shuttle to and from NCCoE.

CLICK HERE to book your room.

Last day to book your room: June 20, 2025.

Created March 25, 2025, Updated April 10, 2025