Project Grant 2528646
- The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $400,000 Project Grant to the Texas A&M Engineering Experiment Station (Tees) under the NSF Engineering program (CFDA 47.041). The goal of the 3-year project is to develop an energy-efficient coherent optical interconnect architecture that can enable dramatic increases in datacenter and high-performance computing bandwidth-density and energy-efficiency. The key technical innovations...
- This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program totaling $187,180 will support research into hybrid switching in data center networks from October 1, 2022 through July 31, 2023. The grant recipient, Princeton University, will develop systems-driven modeling and principled algorithms to address the challenges of fast, dynamic switching capabilities needed to meet rapidly growing and changing traffic demand patterns in...
- The National Science Foundation (NSF), through its Engineering (ENG) program (CFDA 47.041), awarded a $442,649 Project Grant to William Marsh Rice University in Houston, Texas. The award period runs from August 15, 2023 to July 31, 2026. The grant supports research to develop and study electrically driven plasmonic light emitters that are strongly coupled to excitons and dielectric resonators. The goal is to create extremely small light-emitting devices with potential applications in...
- The National Science Foundation (NSF) awarded a $206,043 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to William Marsh Rice University in Houston, Texas. The grant funds the Rice Collaborative Object Store, which provides production-level data storage, access, and transfer services to support computationally intensive research across fields like modeling and simulation, AI/machine learning, geospatial analysis, and bioengineering. The new...
- This federal Project Grant award of $375,000.00 from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) to William Marsh Rice University supports research to investigate and control the spin-photon interface properties of device-integrated single T centers in silicon via externally applied electric fields. The research aims to narrow the optical linewidth of the T center qubits and advance the development of scalable quantum networks. Key technical objectives include...
- This National Science Foundation (NSF) project grant, awarded under the Engineering (CFDA 47.041) program, supports the development of new optical devices called "intersubband neurons" that could enable ultrafast optical neural networks. The $352,180 award to the University of Texas at Austin, running from October 1, 2023 to March 31, 2026, aims to create these novel photonic devices that can perform computations at the speed of light, potentially outpacing electronic neural...
- This federal Project Grant award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) provides $180,000.00 to Baylor University to develop energy-efficient silicon photonic circuits with co-designed electronic application-specific integrated circuits (ASICs). The key products and services to be delivered include: Designing and fabricating a wavelength division multiplexing photonic transceiver consisting of silicon microring modulators, tunable...
- This $250,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program will support collaborative research to transform integrated electro-photonic fabrics for light-speed communication and computation. The goal is to develop efficient electro-photonic computing platforms that surpass traditional electronic platforms in performance, energy-efficiency, and reliability. This research aims to establish a new ecosystem...
- This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research by William Marsh Rice University to develop adaptive control and learning algorithms for solving complex operational problems in networked systems. The $140,000 award, active from September 1, 2025 to August 31, 2028, will contribute to advancing national prosperity and economic welfare by creating new algorithms that can learn from data and adapt in real-time, while accounting for...
- This $413,527 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research at the University of Maryland, College Park to develop new energy-efficient tuning elements for silicon photonic integrated circuits. The project aims to create a novel class of switchable, digital, non-volatile micromechanical tuning elements that can precisely and efficiently adjust the resonant wavelengths in photonic circuits without requiring continuous active tuning....
The National Science Foundation (NSF) awarded a $540,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to William Marsh Rice University in Houston, Texas. The grant, awarded from October 1, 2025 to September 30, 2028, supports the development of a new family of tunable optical network architectures using optical switches. The key objectives are to design resilient and flexible network structures, optimize algorithms and software to utilize the new networks, and establish standard performance benchmarks for these optical network architectures. The project aims to overcome the power and upgrade challenges of conventional electrical packet switching networks by leveraging the energy-efficient and data-rate agnostic properties of optical circuit switching technologies. Additionally, the project will provide hands-on educational opportunities for students and benefit the broader scientific community by improving the efficiency of computational tasks.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $540.0k | 7/18/25 |