Project Grant 2522004
- The National Science Foundation (NSF) awarded a $500,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to Yale University. The grant, with an award date of October 1, 2025 and ultimate completion date of September 30, 2029, aims to design a new class of engineered artificial materials known as metamaterials that exhibit high refractive indices. These metamaterials have the potential to enable faster computers, better cameras, enhanced augmented reality...
- The National Science Foundation's Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) awarded a $1,000,000 Project Grant to the University of Washington to design a new class of engineered artificial materials, known as metamaterials, that exhibit high refractive indices and nonlinear optical properties. The project aims to develop advanced computational modeling and machine learning techniques to create these metamaterials, which could enable faster computers, better cameras,...
- 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 $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 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 $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 of $500,000 from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports the development of a computational pipeline that integrates AI-driven optimization techniques with advanced simulations to streamline the design of mechanical metamaterials (MMs). The goal is to automate and accelerate the complex, iterative design process for these materials, which exhibit unique mechanical properties and have...
- The National Science Foundation awarded a $750,000 Project Grant under the Technology, Innovation, and Partnerships program (CFDA 47.084) to the University of Florida on December 15, 2022. The grant will support the development of energy-efficient metamaterials for sustainable electronics through November 30, 2023. Specifically, the University of Florida will lead a collaborative effort to design sustainable metamaterials, investigate their scalable manufacturing processes, and implement an...
- 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 $542,001 Project Grant awarded by the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) will fund collaborative research at Purdue University to develop new customizable optical materials based on MXenes, a family of two-dimensional structures. The research aims to engineer these materials to precisely control light behavior, enabling advanced optical technologies for applications in communication, information technology, energy, and sensing. The project...
This $500,000 Project Grant awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences Federal Grant Program (CFDA 47.049) aims to design a new class of engineered artificial materials known as metamaterials. The goal is to develop metamaterials that exhibit high refractive indices, allowing for the creation of more advanced optical components, faster computing, enhanced augmented reality displays, and improved high-speed communications. The project will utilize a multi-scale inverse design approach driven by advanced computational modeling and machine learning to address the technical challenges in realizing these metamaterials in practice. The award will fund the empirical validation of the designed material properties through the creation of two testbeds: thermal imaging and nonlinear optical activation for optical information processing. In addition to advancing the frontiers of optical imaging and computing, the program will train a new generation of scientists and engineers through interdisciplinary research experiences spanning physics, chemistry, computation, artificial intelligence, and materials science, with a focus on broadening participation from high school, undergraduate, and graduate students.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $500.0k | 9/4/25 |