Supports fundamental research in theoretical and computational materials science across condensed matter physics, biomaterials, ceramics, electronic and photonic materials, metals, polymers, and solid-state chemistry. Emphasis on predictive theory, simulation, and modeling using methods like quantum many-body theory, statistical mechanics, and machine learning. Encourages transformative research at the frontiers of materials theory and data-enabled approaches, spanning multiple length and time scales to reveal new materials phenomena.
Proposals may be submitted by US-based non-profit, non-academic organizations associated with research or education, and US institutions of higher education on behalf of their faculty. International branch campuses require justification for project activities performed abroad.
