The CMMT (Condensed Matter and Materials Theory) program supports theoretical and computational materials research in various areas, including condensed matter physics, biomaterials, ceramics, electronic and photonic materials, metals and metallic nanostructures, polymers, and solid-state and materials chemistry. The program focuses on advancing conceptual understanding of materials and related phenomena, developing analytical and computational techniques, and applying predictive materials-specific theory, simulation, and modeling. Methods such as electronic structure calculations, quantum field theories, statistical mechanics, and molecular dynamics are employed in the research. The program encourages the exploration of new paradigms in materials research, including data-centric approaches utilizing data analytics and machine learning. The research spans multiple length scales and may involve workstations or high-performance computing. The emphasis is on obtaining fundamental insights into material properties, predicting new materials and states of matter, and exploring new phenomena. Recent areas of interest include correlated electron systems, topological phases, low-dimensional materials, nonequilibrium phenomena, nanostructured materials, sustainable materials, and research at the interfaces of materials with biological systems. CMMT welcomes transformative submissions at the forefront of theoretical, computational, and data-intensive materials research, including understanding emergent properties, developing predictive models, exploring new paradigms, fostering interdisciplinary research, harnessing machine learning, and developing new theoretical frameworks. Projects involving significant cyberinfrastructure development should be submitted through the Computational and Data-Enabled Science and Engineering (CDS&E) program.