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...
This $500,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support research at The Washington University in St. Louis to develop a heterogeneous photonic integration platform. The key technical objectives are to: Enable the van der Waals integration of dissimilar functional nanomembranes, including barium titanate, gallium nitride, and cobalt ferrite, onto silicon and silicon nitride photonic circuits. This will allow the creation of...
This $500,000 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research by the University of Maryland, College Park to explore a new class of low-loss phase change materials for controlling light propagation and mode transitions within photonic integrated circuits. The project aims to leverage the large index tunability of these materials to actively reconfigure the coupling between transverse spatial modes, creating "synthetic modal...
This $600,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to support research that develops a novel approach to metamaterials engineering and manufacturing for emerging optoelectronics. The project at the University of Michigan will utilize a combination of advanced manufacturing tools and focused-ion-beam-assisted molecular-beam epitaxy to pattern and integrate high-purity non-precious metals with high-quality semiconductors. The...
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 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,...
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 $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's (NSF) Integrative Activities program (CFDA 47.083) provides $300,000 to the University of Nebraska-Lincoln (UNL) to conduct research on integrating wide-bandgap cesium lead halide perovskites into cost-effective photonic platforms. The project's two primary objectives are: Developing a methodology to directly pattern sub-micrometer features of solution-synthesized inorganic wide-bandgap perovskites. Employing non-classical device...
This $330,000 project grant from the National Science Foundation's Division of Electrical, Communications and Cyber Systems and Engineering program (CFDA 47.041) supports collaborative research between Purdue University and the University of St. Thomas focused on investigating two-dimensional (2D) materials and developing photoswitchable interlayer exciton devices. Key activities include constructing 2D heterostructured hybrid devices from transition metal dichalcogenides and photochromic...
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 highly efficient and integrated optical switches, nonreciprocal devices, and magneto-optic sensors. By combining experimental efforts, theory and modeling, and expedited materials prediction, the project will create an effective feedback loop to accelerate the hybrid metamaterial design process. The findings will be incorporated into student research training and education modules to support workforce development in this critical engineering domain.