Project Grant 2513927
- Federal Grant Award Summary Carnegie Mellon University received a $1.395 million Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award, effective April 1, 2026, through March 31, 2031, supports the development of the Framework for Advanced (Multi)linear Infrastructure in Engineering and Science (FAMLIES). This collaborative research initiative delivers an...
- Federal Grant Award Summary Southern Methodist University received a $354,485 Project Grant from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences federal grant program (CFDA 47.049), effective September 1, 2025 through August 31, 2028. This collaborative research project will develop reduced-order modeling and data assimilation algorithms for wave-dominated systems, with primary application to digital twins in ultrasonic medical...
- Federal Project Grant Award Summary This collaborative research project, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to accelerate the execution of large-scale graph problems on distributed computing systems such as datacenter infrastructure. The award of $423,215.00, obligated on May 15, 2025, with a completion date of July 31, 2028, supports a cross-layer research effort encompassing three primary...
- Federal Grant Award Summary Southern Methodist University received a $342,325 Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041), effective August 1, 2025 through July 31, 2028. This collaborative research project delivers fundamental scientific research and advanced computational modeling focused on bacterial flagellar mechanics and their applications to nanorobotic propulsion systems....
- Federal Grant Award Summary The National Science Foundation's Division of Materials Research awarded a $1.5 million Project Grant to the University of Texas at Austin on October 1, 2025, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop MATCSSI 2.0, a cloud-integrated platform that democratizes access to advanced many-body electronic structure computational methods. The project, which extends through September 30, 2028, addresses the mathematical complexity and...
- Federal Grant Award Summary Texas A&M University received a $239,850 Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences program (CFDA 47.049), effective August 15, 2025, with a completion date of July 31, 2028. The project develops and advances optimal recovery theory—a mathematical framework that provides worst-case performance guarantees for function learning and recovery algorithms under realistic...
- This federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Program (CFDA 47.049) focuses on developing new frequency domain modeling techniques for analyzing high-dimensional time series data. The $177,718 award to Southern Methodist University (SMU) will fund research to create a new modeling framework that enables dimension reduction and correlation analysis of large, complex time series datasets across disciplines such as neuroscience,...
- Federal Grant Award Summary Southern Methodist University, as the prime recipient, will lead a collaborative research project funded by the National Science Foundation's (NSF) Division of Undergraduate Education under the STEM Education program (CFDA 47.076). This $243,265 project grant, awarded October 1, 2025, and extending through September 30, 2029, will develop and deliver comparative instructional modalities designed to enhance preservice Science, Technology, Engineering, and Mathematics...
- Federal Project Grant Award Summary Loyola Marymount University received a $150,000 Project Grant from the National Science Foundation (NSF) Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The award, effective August 1, 2025, through July 31, 2027, supports the design, evaluation, and comparison of task graph scheduling algorithms for distributed computing systems. The project extends an open-source framework to...
- Federal Project Grant Award Summary Carnegie Mellon University received a $389,000 Project Grant from the National Science Foundation's Division of Computing and Communication Foundations (CFDA 47.070) awarded July 1, 2025, with completion targeted for June 30, 2028. This collaborative research initiative delivers correct-by-construction code generation methodologies for high-performance computational chemistry applications. The project develops novel notations and formal methods for...
Southern Methodist University received a $2.15 million Project Grant from the National Science Foundation's Office of Advanced Cyberinfrastructure under the Computer and Information Science and Engineering program (CFDA 47.070), awarded April 1, 2026, with a completion date of March 31, 2031. The project, titled "Framework for Advanced (Multi)Linear Infrastructure in Engineering and Science (FAMLIES)," delivers an adaptable, open-source software framework designed to optimize matrix and tensor computations across the entire high-performance computing hardware stack. This framework addresses computational bottlenecks in drug design, quantum computing development, and artificial intelligence (AI) architecture design by providing flexible, convenient tools that vertically integrate software layers while supporting both existing and future computational applications. The FAMLIES project builds upon four decades of dense linear algebra software library development to modernize fundamental approaches and exported interfaces for contemporary scientific computing, machine learning, data science, and AI applications. By leveraging successful prior research and providing open-source licensing, the framework is designed to reduce barriers to entry for researchers, facilitate workforce training of next-generation computational and data scientists, and enable innovation across science and engineering disciplines. The software supports rapid development cycles required by cutting-edge applications while maintaining compatibility with established computational tools, thereby advancing the application of advanced computational models to real-world problems across multiple scientific domains.Federal Project Grant Award Summary
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $2.1m | 3/26/26 |