The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $300,000 Early-Concept Grant for Exploratory Research (EAGER) Project Grant to the University of Southern California (USC) Department of Contracts and Grants Division, doing business as USC. The grant, titled "EAGER: GENERATIVE AI FOR LEARNING EMERGENT COMPLEXITY IN MECHANICS-DRIVEN COUPLED PHYSICS PROBLEMS," aims to develop artificial intelligence (AI) methods that can learn from and make predictions on simulations of the physics of materials, with a focus on battery materials. The project will expand the capabilities of large language models, like those used in OpenAI's ChatGPT, Microsoft's Copilot, and Google's Gemini, to jointly learn from computational physics simulations and mathematical equations, going beyond their current text-based learning. This new modality of large language models is expected to enable the discovery of previously unknown nonlinear mechanisms in complex systems, with applications in energy materials, biomaterials, and structural alloys. The project will educate students from diverse backgrounds in developing this novel AI technology and ensure rigorous testing to avoid harmful outcomes. The award period is from September 1, 2024, to August 31, 2026.