This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $750,000 to Northeastern University to develop innovative engineered photonic materials using a data-driven deep learning approach. The research aims to accelerate the discovery, design, and implementation of new photonic metamaterials with tailored optical properties for applications in areas such as lasers, optical communications, quantum computing, and...
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 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $500,000.00 over a 4-year period to Purdue University to develop a novel hybrid thin film platform with unique optical properties for photonic integrated circuits (PICs). The research aims to advance understanding of electro-optical and magneto-optical coupling effects in complex nanoscale hybrid metamaterials, and demonstrate key building blocks for future large-scale PICs including...
This $380,000 Project Grant award from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under CFDA Program 47.041 (Engineering) will fund the development of new types of on-chip "topological photodetectors" that can detect and differentiate between different modes and properties of light, such as its phase, polarization, and orbital angular momentum. These novel photodetectors, based on emerging quantum materials like Weyl semimetals,...
The National Science Foundation (NSF) awarded a $600,000 project grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the Regents of the University of Michigan to support research on reinforcement learning and transformer-inspired approaches for smart photonics inverse design. The project aims to enable non-experts to use artificial intelligence models to design sophisticated photonic structures for optical applications, while also advancing...
This $199,040 Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop new classes of computational algorithms that combine the benefits of direct computer simulations and the speed of machine learning predictions. The project, titled "XTRIPODS: HYBRID SCIENCE-MACHINE LEARNING SOLVERS FOR NANOPHOTONICS AND METAMATERIALS," will embed scientific knowledge into the machine learning...
This National Science Foundation Project Grant of $1,198,092 will support research at Northwestern University from August 1, 2022 to July 31, 2025 under the Mathematical and Physical Sciences program (CFDA 47.049). The university will design photonic lattices and multilayer structures that can confine light in small spaces near metal nanostructures and support electrically-driven excitation. Researchers will fabricate new architectures based on multilayer nanoparticle arrays and realize...
This $440,000 federal Project Grant award, provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program, supports collaborative research at Northeastern University on "deep learning guided twistronics for self-assembled quantum optoelectronics". The key objectives are to use computer-aided deep learning models and theoretical tools to predict and guide the synthesis of novel "twistronic" materials composed of stacked...
This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) will provide $402,134 from September 1, 2024 to August 31, 2027 to support research and development of a novel class of semiconductor nanostructures called non-Hermitian topological photonic crystals. The key products and services to be delivered include: Designing, fabricating, and characterizing the optical properties and optoelectronic device applications of these photonic crystal slabs,...
Purdue University was awarded a $299,627 Project Grant from the National Science Foundation to conduct collaborative research titled "COLLABORATIVE RESEARCH: DMREF: TRANSFORMING PHOTONICS AND ELECTRONICS WITH DIGITAL ALLOY MATERIALS." The award period is from October 1, 2021 through September 30, 2025. The research is being conducted under the NSF's Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in these scientific fields and strengthen the...
This $375,000 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will support a collaborative research effort to accelerate the design and development of engineered photonic materials using a data-driven deep learning approach. The project aims to establish deep learning frameworks to construct photonic metamaterials with tailored optical properties, integrate information on constituent material platforms into deep learning models to enable reconfigurable metamaterials, and investigate hybrid material systems that couple topological photonic structures with quantum emitters and optical nonlinearities. This multidisciplinary research, which spans materials science, photonics, engineering, physics, and artificial intelligence, is expected to generate new fundamental knowledge and insights to drive transformative applications of photonic metamaterials for classical and quantum information processing. The project will be led by Purdue University, a prominent research institution with extensive experience executing federal grants and contracts across diverse scientific and technological domains.