The University of Rochester received a $1,499,921 Project Grant award from the National Science Foundation Division of Electrical, Communications and Cyber Systems through the Engineering program (CFDA 47.041) to develop a novel photonic non-Von Neumann computing system using optical frequency combs. The four-year project aims to push the boundaries of nature-based computing in efficiency, capability and applicability for machine learning algorithms. Key products and services include...
The National Science Foundation awarded a $250,000 Project Grant to the University of Rochester under the Engineering federal grant program (CFDA 47.041) for the period of February 1, 2022 through January 31, 2024. The award will support the development of fiber-to-chip fusion technology to enable advanced photonic packaging for data center communications. Specifically, the university will develop processes to fuse arrays of up to 12 optical fibers, polarization maintaining fibers, and high...
The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $450,000 Project Grant to the University of Rochester to develop miniaturized metasurface-based devices for ultrafast optical pulse characterization. This 3-year project, under NSF's Engineering program (CFDA 47.041), aims to advance the field of ultrafast metrology by creating compact and accurate devices for temporally and spatially characterizing ultrafast optical pulses. Specifically, the...
This $495,782 federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports the development of innovative integrated photonic devices and systems at the Research Foundation of the City University of New York (RFCUNY). The project aims to (1) create high-power, chip-scale femtosecond mode-locked lasers on thin-film lithium niobate, and (2) integrate these lasers with other nonlinear photonic components to enable advanced applications in areas like...
This National Science Foundation (NSF) Project Grant, under the Mathematical and Physical Sciences (CFDA 47.049) program, provides $440,000 in funding to the University of Rochester to investigate the coherence properties of radiation emitted when an ultra-relativistic electron bunch collides with a strong laser field. The project aims to develop methods to enhance coherence effects beyond X-ray frequencies and assess the feasibility of realizing a gamma-ray free electron laser. The research...
This five-year, $519,013 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports the development of an ultra-broadband high-power frequency comb light source for advanced spectroscopy and imaging at Stony Brook University from September 2022 through August 2027. Professors Allison and Liu will create a new laser-based light source spanning the electromagnetic spectrum from terahertz to soft x-rays, enabling phase-coherent femtosecond...
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...
The National Science Foundation awarded a $355,714 Project Grant to the University of Rochester under the Engineering (47.041) federal grant program. The grant supports research to develop an innovative, scalable nanomanufacturing platform for area-selective atomic layer deposition of components for ultra-efficient optoelectronic devices. The goal is to pioneer a continuous, energy-efficient manufacturing approach that enables novel three-dimensional chip designs not reliant on unsustainable...
This National Science Foundation (NSF) award under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) provides $529,482 to the University of Rochester to develop the theory and simulation of the emergent properties of matter when driven or "dressed" by lasers. The project aims to: (a) Develop a Floquet theory and simulation scheme to model the optical absorption properties of realistic laser-dressed solids, in order to make experimentally testable predictions...
The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $453,103 Project Grant to the University of New Mexico (UNM) Office of Sponsored Projects Division. The grant, titled "CAREER: ULTRALOW PHASE NOISE SIGNAL GENERATION USING KERR-MICRORESONATOR OPTICAL FREQUENCY COMBS", aims to develop techniques for reducing thermal noise in microresonator optical frequency combs to enable the generation of ultra-low phase noise signals for precision measurement...
The University of Rochester received a $460,131 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) to develop versatile on-chip devices for generating frequency combs and ultrashort pulses with high efficiencies and energies up to 1,000 times greater than the state-of-the-art. Specifically, the University will experimentally demonstrate how the energy limit of microresonator solitons can be engineered through loss engineering in strongly over-coupled cavities. It will also develop normal dispersion cavities with integrated spectral filters to generate a novel type of chirped-pulse soliton shown to support very high energies. Successful implementation is expected to significantly improve the performance of current microresonator applications and enable cheap, simple, small, and wavelength-versatile on-chip sources to replace mode-locked lasers for applications including bioimaging and frequency conversion. The award period is from September 1, 2022 to August 31, 2025.