Project Grant 2614637
- Federal Grant Award Summary Georgia Southern University Research & Service Foundation Inc. received a $285,435 Project Grant from the National Science Foundation's Division of Materials Research (CFDA 47.049 – Mathematical and Physical Sciences) effective June 1, 2025, through May 31, 2028. This collaborative research initiative, conducted in partnership with the University of Texas at Austin, focuses on developing a machine learning (ML)-assisted materials design cycle for bio-based...
- Federal Project Grant Award Summary The University of Georgia Research Foundation received a $356,676 Project Grant from the National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded March 1, 2026, with completion targeted for February 28, 2029. This award funds experimental research quantifying stereochemical differences in alkyl-substituted cyclic ethers to advance combustion technology modeling for transportation applications. The project will conduct high-pressure...
- Federal Project Grant Award Summary The University of Georgia Research Foundation, Inc. received a $449,962 Project Grant from the National Science Foundation (NSF) Directorate for Engineering (CFDA 47.041) awarded February 15, 2026, with completion targeted for July 31, 2028. The award funds development of glycosequencing, a novel technology platform that leverages next-generation sequencing (NGS) and DNA-barcoded lectins to rapidly sequence and quantify glycan structures at lower cost and with...
- Federal Grant Award Summary Georgia TECH Research Corp received a $630,763 Project Grant from the National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering program (CFDA 47.041), awarded July 1, 2025, with completion targeted for June 30, 2028. The project delivers fundamental research and systematic methodologies for data-driven, physics-informed modeling of multiscale fluid dynamics phenomena. The research addresses...
- Federal Grant Award Summary Georgia State University Research Foundation Inc. received a $200,000 Project Grant from the National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation under the Engineering program (CFDA 47.041), awarded on August 1, 2025, with completion targeted for July 31, 2028. The award supports research aimed at developing predictive mathematical models and practical design tools to prevent lateral instability in pedestrian bridges caused by...
- Federal Project Grant Award Summary The National Science Foundation (NSF) awarded $211,000 to the University of Georgia Research Foundation, Inc. on October 1, 2025, under the STEM Education program (CFDA 47.076) for a collaborative research initiative spanning through September 30, 2028. The award supports the development, implementation, and iterative refinement of a comprehensive eight-week summer research and training program hosted jointly at the University of Georgia and the University...
- Federal Grant Award Summary Award Overview Georgia TECH Research Corp received a $638,740 Faculty Early Career Development (CAREER) Project Grant from the National Science Foundation's Directorate for Engineering (CFDA 47.041) effective August 1, 2026, through July 31, 2031. The award supports fundamental research to establish a numerical homogenization framework that links microscopic fracture processes in soft composite materials to their macroscopic strength and toughness properties. This...
- Federal Grant Award Summary The National Science Foundation's Division of Civil, Mechanical, and Manufacturing Innovation awarded Georgia TECH Research Corp a CAREER (Faculty Early Career Development) grant totaling $599,972 on June 15, 2025, with a completion date of May 31, 2030. Under CFDA 47.041 (Engineering), this project grant supports the development of multifidelity scientific machine learning methods that integrate high- and low-fidelity simulation data to generate accurate predictive...
- Federal Grant Award Summary The National Science Foundation's Division of Mathematical Sciences awarded a $100,000 Project Grant to Georgia State University Research Foundation Inc. on September 1, 2025, under the Mathematical and Physical Sciences program (CFDA 47.049). This collaborative research initiative focuses on developing novel mathematical theories and computational methods to address the challenge of solving high-dimensional Partial Differential Equations (PDEs) using Deep Neural...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded Georgia TECH Research Corp a collaborative research project grant totaling $297,881 on August 1, 2025, with a completion date of July 31, 2028, under the Engineering program (CFDA 47.041). The research delivers advanced theory and computational algorithms for controlling distributions in large-scale dynamical systems, addressing critical gaps in precision...
Federal Grant Award Summary The University of Georgia Research Foundation, Inc. received a $143,856 Project Grant award from the National Science Foundation's Directorate for Engineering (CFDA 47.041), effective October 1, 2025, with completion targeted for December 31, 2027. This collaborative research initiative develops a physics-informed deep learning (PIDL) framework to enable inverse design and fabrication of multiphase composite materials with tailored multidirectional mechanical properties. The research creates data-efficient, physically interpretable surrogate models of structure-property relationships by incorporating constitutive equations into forward physics-informed convolutional neural networks and developing novel multi-objective inverse PIDL algorithms. Deliverables include validated computational tools and methodologies applicable to lightweight structures, shock absorbers, and aerospace components. The project integrates education and outreach components designed to broaden participation in engineering disciplines, particularly among underrepresented groups. Educational activities include undergraduate and graduate training in data-driven science and engineering, as well as public engagement through collaboration with local museums and science centers to introduce high school students and the general public to data-driven material design principles and applications. This collaborative effort advances NSF's mission to foster innovation and excellence in engineering research while developing the next generation of engineering talent in computational materials science.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $143.9k | 2/11/26 |