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Large-scale simulations and the ability to accumulate massive amounts of data have revolutionized science and engineering. The goal of the Computational and Data-enabled Science and Engineering (CDS&E) meta-program is to identify and capitalize on opportunities for major scientific 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.

The Cyberinfrastructure for Sustained Scientific Innovation (CSSI) program seeks to enable funding opportunities that are flexible and responsive to the evolving and emerging needs in cyberinfrastructure (CI). The program continues to emphasize integrated CI services, quantitative metrics with targets for...

Supports projects that deepen the integration of cyberinfrastructure professionals’ services into research, while fostering education, training and recognition that address CI workforce development needs.

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 the research of pre-tenure faculty in mathematical and physical sciences, with an emphasis on those at institutions that traditionally do not receive significant NSF funding, such as minority-serving, predominantly undergraduate or R2 institutions.

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 centers that foster team-based, highly integrated research, education, and training with a focus on developing and providing access to next-generation tools and data that will enable the development of new materials.

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

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

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 investigation of the fundamental physics underlying condensed matter systems.

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 the acceleration of materials design, discovery, and development through the integration of experiments, computation and theory. Focus areas include unifying infrastructure; harnessing data; and educating, training and connecting the R&D workforce.

The Division of Materials Research (DMR) Partnerships for Research and Education in Materials Research (PREM) program aims to enable, build, and grow partnerships between minority-serving institutions and DMR-supported centers and/or facilities to increase recruitment, retention, and degree attainment (which collectively...