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Supports efforts to improve the adoption of cyberinfrastructure resources by the research community and integrate core literacy, skills in advanced cyberinfrastructure, and computational and data-driven methods into undergraduate and graduate education.

Supports materials design and development through the integration of experiments, computation and data-driven methods, while fostering interdisciplinary collaboration and training the next generation of the materials R&D workforce.

Materials Innovation Platforms (MIP) is a mid-scale infrastructure program in the Division of Materials Research (DMR) designed to accelerate advances in materials research. MIPs respond to the increasing complexity of materials research that requires close collaboration of interdisciplinary and transdisciplinary...

Supports research that uses new computational and data science approaches to advance knowledge and accelerate discovery in science and engineering.

Supports postdoctoral fellows performing impactful research in MPS fields while broadening the participation of groups that are underrepresented in the mathematical and physical sciences.

Supports researchers in quantum information science, mathematical and physical sciences, or computer and information science and engineering to pursue joint research through long-term visits to a host institution.

Supports research and education on biological, biomimetic, bioinspired and bioenabled materials, and on synthetic materials intended for applications where they will be in contact with biological systems.

Supports research and education on polymeric materials and polymer science.

Supports university-based centers that collaborate with industry and other sectors on multidisciplinary materials research and education.

Supports research that harnesses fundamental quantum properties to explore new scientific frontiers and develop new technologies at the interface of traditional scientific disciplines.

Supports research and education on the relationships between structure and properties of metals and their alloys.

Supports collaborative research and education in partnership with industry on domain-specific computing, heterogenous integration, and new materials for energy-efficient, enhanced-performance and sustainable semiconductor-based systems.

Supports high-risk, high-reward research that addresses scientific and technological challenges associated with the integration of synthetic biology with semiconductor technology.

Supports research and education in the development of advanced materials to enable transformative advances in electronics, optoelectronics and photonics for use in computing, communications and sensing.

Supports research and education in the investigation of the fundamental physics underlying condensed matter systems.