The DOE SC program in Fusion Energy Sciences (FES) has announced its interest in applications in the areas of machine learning (ML), artificial intelligence (AI) and data resources for fusion energy and plasma sciences.
The goal of this FOA is to support multi-disciplinary teams aiming to apply advanced and autonomous algorithms to address high-priority research opportunities across the FES program. Applicants are encouraged to propose research in new systems for managing, formatting, curating, and accessing experimental and simulation data, provided in publicly available databases. Of high programmatic importance are approaches that support the realization of a fusion pilot plant on a decadal timescale.
Deadline for Pre Applications (required): January 31, 2023 at 5 p.m. ET
Deadline for Applications: March 15, 2023 at 11:59 p.m. ET
See the funding opportunity for agency contacts and more details, including eligibility and application information.
Register here for a webinar to provide information on this FOA on Jan. 12, 2023 t 1 p.m. ET.
