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) 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, 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):
1) Datasets and tools for employing AI for materials
2) Integrating experiments with AI techniques
3) Graph neural networks for materials
4) Comparison of AI techniques for materials
5) Challenges of applying AI to materials
6) Uncertainty quantification and building trust in AI predictions
7) Generative modeling
8) Using AI to develop classical force-fields
9) Natural language processing/Large language models
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 5/31/2024.
Event Title: Artificial Intelligence for Materials Science (AIMS) 2024 Workshop
Date: July 17, 2024 – July 18, 2024
Start and End Times: 9:00 a.m. – 5:00 p.m.
Start Time | End | Session Name/Information |
9:00am | 12:00pm | Session I (20 minute break in the middle) |
12:00pm | 1:00pm | Lunch |
1:00pm | 3:00pm | Session II (20 minute break in the middle) |
3:00pm | 5:00pm | Poster Session |
Start Time | End | Session Name/Information |
9:00am | 12:00pm | Session III (20 minute break in the middle) |
12:00pm | 1:00pm | Lunch |
1:00pm | 3:00pm | Session IV (20 minute break in the middle) |
3:00pm | 5:00pm | Hands-on Session |
Hotel Room Block
We have booked a room block at the following location:
Hotel: DoubleTree by Hilton Washington DC North/Gaithersburg
Address: 620 Perry Parkway, Gaithersburg, MD 20877
Rate: $139/person plus tax. Rate includes transportation to and from NCCoE for both days of the conference.
Last day to book: July 8, 2024
CLICK HERE to book your room.
*Visitor Access Requirement:
For Non-US Citizens: Please have your valid passport for photo identification.
For US Permanent Residents: Please have your green card for photo identification.
For US Citizens: Please have your state-issued driver's license. Regarding Real-ID requirements, all states are in compliance or have an extension through May 2025.
NIST also accepts other forms of federally issued identification in lieu of a state-issued driver's license, such as a valid passport, passport card, DOD's Common Access Card (CAC), Veterans ID, Federal Agency HSPD-12 IDs, and Military Dependents ID.