Project Grant 2501783
- This $392,098 National Science Foundation award under the Engineering (CFDA 47.041) program will fund research to establish new theoretical foundations for active metamaterial transmission lines (MTLs) that can control the amplitude and phase of electromagnetic waves. The goal is to develop transformative transmission line technology to address increasing demands for enhanced data capacity, higher spatial resolution, multi-functionality, and smaller circuit and system dimensions in microwave...
- This $440,000 Project Grant awarded by the National Science Foundation's Engineering program (CFDA 47.041) will fund the development of a semiconductor plasma phased array system with integrated performance-to-radiator mapping capabilities. The primary objectives are to: (1) develop a plasma phased array focusing on feed network solutions, and (2) create fast AI/ML-supported reconfiguration algorithms to enable real-time mapping of system performance to the radiator profile. The project aims...
- This National Science Foundation (NSF) Project Grant, awarded under the Engineering program (CFDA 47.041), supports fundamental research to establish a general, experimentally validated continuum modeling framework for active mechanical metamaterials. The $253,022 award, effective August 1, 2025 through July 31, 2028, will enable efficient prediction of material behavior and systematic design across a wide range of geometries and actuation mechanisms for applications in aerospace, biomedical...
- This $450,000 three-year Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering program (CFDA 47.041), will support the University of Notre Dame in developing high performance optically-controlled radio frequency switches with ferroelectric latching for advanced reconfigurable millimeter-wave to terahertz circuits. The university will investigate and demonstrate a novel switching technology using lightwave control...
- The National Science Foundation awarded a $199,902 Project Grant to the University of Massachusetts Dartmouth under the Engineering program (CFDA 47.041). The grant will support the development of an adaptive incremental deep learning architecture to infer radio frequency signals in dynamic spectrum sharing environments in real time. The proposed research aims to advance self-learning of spectrum sensing, signal classification, and radio frequency parameter characterization through an online...
- This $375,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) aims to accelerate the discovery, design, and implementation of new engineered photonic materials, particularly photonic metamaterials, through a data-driven deep learning approach. The project, led by the Georgia Tech Research Corporation, will establish deep learning frameworks to construct photonic metamaterials, integrate information on tailorable optical...
- This $400,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) supports collaborative research on exploiting new degrees of freedom in wireless networks with reprogrammable intelligent metagratings. The Research Foundation of the City University of New York will deliver this research as the awardee from July 2021 to June 2025. The grant aims to advance the development and use of research cyberinfrastructure to enable...
- This $124,990 Project Grant award from the National Science Foundation's (NSF) Integrative Activities (IA) program (CFDA 47.083) supports research at the University of New Mexico (UNM) to develop novel metasurfaces based on two-dimensional and layered materials. The key objectives are to explore the optical properties of van der Waals nanoantennas, engineer multipolar resonances to achieve desirable responses, and control the directionality and linewidth of scattered light. This work aims to...
- The National Science Foundation awarded University of Maryland, College Park a $702,211 Project Grant under the Engineering program (CFDA 47.041) from July 1, 2023 to June 30, 2028. The grant funds research to develop reconfigurable dynamic metamaterials that can efficiently interact with flowing fluids through fluid-structure interactions and transition waves. The university will establish analytical and experimental foundations for flow-responsive multistable metamaterials exhibiting tunable...
- This $199,870 project grant awarded by the National Science Foundation (NSF) Engineering Program (CFDA 47.041) supports the development of an AI-enhanced, reconfigurable sparse antenna array (RSA) system for cognitive sensing and radar applications. The key products and services to be delivered include: Algorithms and techniques to enable dynamic interference suppression by rapidly and intelligently selecting antenna subsets from a uniform grid of antenna locations. This includes the use of deep...
The National Science Foundation's Engineering program (CFDA 47.041) awarded Hofstra University a $199,109 project grant to optimize switch-based metamaterials using machine learning to enhance the performance of phased array antennas. This research aims to develop innovative computational techniques to precisely control the radiation patterns of wireless systems, which can significantly improve the bandwidth, precision, and performance of a wide range of applications such as wireless networks, radar systems, and scientific instruments. The project will leverage deep neural networks to uncover relationships between programmable metamaterial switch settings and antenna radiation pattern characteristics, with the goal of informing enhancements that expand the capabilities of phased array technologies. The grant period runs from October 1, 2025 to September 30, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $199.1k | 8/18/25 |