The LEADS team will develop an AI/ML community hub by:

•Establishing a common data format for scientific applications with a focus on foundation models.

•Establishing interoperability policies between codes and models, which avoid conflicts and standardize APIs, especially with respect to the use of external software in other programming languages.

•Focusing on outreach toward the broader SciML community to ensure the approach is beneficial without being restrictive toward uncommon but important edge cases.

•Developing portable ways to test, benchmark, and deploy AI/ML models across Department of Energy Leadership Computing Facilities.