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Supports translational research and workforce development at the interface of fundamental plasma science and technological innovation.

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 individual or small team research projects within the Division of Chemistry's disciplinary research programs.

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 developing centers (Phase I) and large, multi-institutional research centers (Phase II) focused on major, long-term chemical research challenges.

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 cross-disciplinary, collaborative research focused on the discovery and ultimate manufacturing of new sustainable polymers or sustainable pathways to existing polymers using state-of-the-art data science.

Supports interdisciplinary collaborative research to explore new computational technologies and accelerate scientific discovery.

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

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.

The MPS-Ascend External Mentoring (MPS-Ascend EM) program aims to fund an institution (or collaboration of institutions) to provide a mentored career development program specifically designed for two cohorts of MPS-Ascend Fellows funded through the Mathematical and Physical Sciences Ascending Postdoctoral Research...

Introduction The National Science Foundation (NSF) and National Institute of Standards and Technology (NIST) have shared interests in a variety of basic and applied scientific and engineering fields. This program is designed to facilitate collaborative research and educational activities among...

This initiative supports fundamentally new approaches in molecular sciences to drive new directions in biotechnology, a critical and emerging technology of the 21st century. This is the third year of a campaign targeting broad themes to be pursued through collaborative...

Supports partnerships between minority-serving institutions and Division of Chemistry-supported institutes and centers to increase recruitment, retention and degree attainment of those most underrepresented in chemistry research.

Supports the discovery and development of theoretical and computational methods or models to address a range of fundamental chemical challenges, with emphasis on emerging areas of chemical research.

Supports education and training of individuals throughout their STEM career pathway to broaden participation and increase opportunities for all scientists.

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

Supports experimental and computational research directed towards the fundamental chemistry aspects of catalytic processes at the molecular and/or bond level of understanding.