Project Grant 2520334
- This federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) is providing $400,000 to North Carolina State University to develop specialized, ultrathin computing systems based on Diffractive Optical Neural Networks (DONNs). The goal is to create a transformative photonic-based computing paradigm that can perform inference tasks at the speed of light while consuming significantly less energy than conventional electronic platforms. This work aims to...
- This $960,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports Baylor University's development of energy-efficient silicon photonic circuits integrated with 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 optical filters, and resonant...
- This Project Grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems, under the Engineering program (CFDA 47.041), provides $457,500 to Trustees of Boston University from October 1, 2022 to September 30, 2025. The funding supports research to develop new classes of photodetectors based on metasurface nanophotonics technology. This aims to enable advanced computational imaging capabilities beyond traditional sensors, such as producing focused...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $467,930 to Northeastern University to design and implement a novel class of metasurface-based optical neural networks, termed "meta-ONNs". The goal is to develop multiplexed meta-ONNs that can operate at optical frequencies and perform diverse functions like all-optical image recognition and pattern generation. The project consists of three main research thrusts: (1)...
- This $300,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports the development of specialized, ultrathin computing systems based on Diffractive Optical Neural Networks (DONNs). The project aims to create a transformative photonic-based computing paradigm that can perform inference tasks at the speed of light while consuming significantly less energy than conventional electronic platforms. The research will advance AI and data-intensive...
- This Project Grant award of $447,691 from the National Science Foundation's (NSF) Division of Computing and Communication Foundations (CFDA 47.070 - Computer and Information Science and Engineering) supports research to develop a novel dual-purpose photonic fabric for high-performance, energy-efficient, and scalable heterogeneous chiplet-based architectures. The key objectives of the research are to: (1) enable power-efficient and scalable on-chip communications between cores and accelerators,...
- This $519,071 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) will fund research at Boston University to explore using light to control metabolic pathways in microorganisms. The goal is to balance the production of valuable biochemical products with normal cell growth, enabling more sustainable bioprocessing. Key aspects of the research include developing novel light-responsive enzymes and comprehensively testing light induction strategies...
- The National Science Foundation (NSF) awarded a $180,000 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to the University of California, Berkeley (UC Berkeley) for the "ASCENT: Wafer-Scale Heterogeneous Integration of Lithium-Niobate-on-Silicon Optoelectronics for Ultralow-Energy AI Computing" project. The project aims to develop high-efficiency, high-throughput photonic-electronic hybrid processors by integrating thin-film lithium niobate...
- This $424,750 Project Grant awarded by the National Science Foundation's Engineering program (CFDA 47.041) supports the development of an ultrashort-pulse optical neural network system for brain-scale computing. The research aims to leverage the speed, bandwidth, and low-loss properties of light to enable real-time processing of billion-scale neural network models using minimal spatial elements. This approach seeks to overcome the limitations of current optical computing architectures. The...
- This $270,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) to Trustees of Tufts College will support collaborative research to develop novel secure hardware technologies based on integrated photonic physical unclonable functions (PUFs). The research aims to investigate the performance and information capacity limits of unclonable photonic circuits, develop techniques for extracting digital keys and signatures from photonic properties, and...
This federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $406,708 to Trustees of Boston University to conduct research on "Heterogeneously Integrated Electronic Photonic AI Accelerators (HIEPAA)". The project aims to explore the use of light for performing neural network computations, enabling the development of energy-efficient AI hardware. This will involve integrating thin-film lithium niobate with silicon photonic chip platforms to fabricate analog optical modulators with lower loss and higher speed compared to traditional silicon-based devices. The project will also design new architectures and circuit techniques to achieve high-resolution AI computation using low-precision building blocks, optimizing both efficiency and accuracy. The award period runs from October 1, 2025 to September 30, 2028.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $406.7k | 8/18/25 |