Transforming Science and Energy Service with AI

The agency is seeking a vendor to transform science and energy services using agentic and generative artificial intelligence. The project aims to accelerate discovery and translational science by navigating multi-scale, high-dimensional dynamic systems to uncover hidden relationships, new manufacturing routes, and new products. The agency also intends to enable end-to-end digital transformation of industrial manufacturing by integrating real-time data into manufacturing digital twins for continuous human-in-the-loop automated decision support. The scope of work is divided into two phases over a one-year contract period. In Phase I, teams must design and demonstrate a clear, tangible research workflow incorporating artificial intelligence with a concrete evaluation of the potential for artificial intelligence advantage. Success in this initial phase may include demonstrating increased predictive power, tighter coupling of data and experiments, building new models, identifying scaling metrics, or improving experimental workflows through automation. During Phase II, meritorious Phase I teams and new Phase II teams will pursue the promising directions identified during the first phase. Consortium members intend to contribute computing power, artificial intelligence tokens, technical expertise, and in-kind support to advance the agency goals. Bidders must perform all work offsite and must be located onshore within the United States. The agency is currently looking for proposals to determine the budget, and bidders must submit their proposals to be considered for this one-year contract.