Project Grant 2529137
- This $198,498 Project Grant awarded by the National Science Foundation (NSF) Division of Materials Research under the Mathematical and Physical Sciences program (CFDA 47.049) supports research at Drexel University aimed at developing a data-driven framework to predict synthesis pathways and optimal conditions for producing computationally-designed solid-state inorganic materials. The project will utilize deep learning, computational thermodynamic modeling, and validation experiments to...
- This $210,335 NSF Mathematical and Physical Sciences (CFDA 47.049) Project Grant award to Drexel University supports the development of a new computational method to accelerate the design of new polymeric materials. The project aims to create a simulation technique that can simultaneously resolve both monomer-level chemistry and mesoscopic length scales within polymeric materials. This has the potential to significantly speed up the development of new polymers for diverse applications like...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences Program (CFDA 47.049) provides $480,000 to establish a collaborative research effort focused on accelerating the discovery of lead-free perovskite nanomaterials. The project aims to integrate high-throughput experimentation, artificial intelligence, and distributed self-driving laboratories across multiple institutions to drastically shorten the timeline for discovering new semiconductor...
- The National Science Foundation (NSF) Division of Materials Research awarded a $164,671 Project Grant to Arizona State University to develop and evaluate a new class of lead-free perovskite halide materials for optoelectronic applications under the Mathematical and Physical Sciences (CFDA 47.049) program. This collaborative research between the University of Maine and the University of Alabama aims to computationally design, synthesize, characterize, and assess the stability of...
- This $920,000 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports collaborative research to accelerate the discovery of lead-free perovskite nanomaterials for advanced electronics and quantum technologies. The project aims to establish networked "self-driving laboratories" that integrate automated flow chemistry, nanomaterials synthesis, and machine learning to rapidly explore and optimize novel semiconductor...
- This Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research to selectively synthesize and characterize new oxynitride-based materials at Colorado State University. The project aims to understand the structure-property relationships of these heteroanionic materials, which can exhibit enhanced and unique functionality compared to single-anion materials. The $512,564 award from September 1, 2025 through August 31, 2028...
- This Project Grant award from the National Science Foundation (CFDA 47.049 - Mathematical and Physical Sciences) provides $180,000 to Drexel University to develop new materials that can control optical properties for advanced photonic technologies. The 3-year project aims to leverage MXenes, a family of 2D materials, to create customizable, dynamically tunable, and reconfigurable optical materials that exhibit unique light-matter interactions like plasmonics, epsilon-near-zero response, and...
- This $250,000 Project Grant award from the National Science Foundation's (NSF) Division of Materials Research (CFDA 47.049 - Mathematical and Physical Sciences) supports research to design and discover new "heteroanionic" materials containing multiple types of negatively charged anion atoms. The goal is to understand how the atomic-scale structure of these complex materials influences their electronic, magnetic, and optical properties, enabling the development of advanced materials for...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $350,000.00 to The Trustees of Princeton University to conduct collaborative research on the design, kinetics, and reconfigurable assembly of multicomponent crystals. The goal is to understand how to precisely arrange microscopic colloidal particles to create new materials with customizable properties. The project will use experiments and computer simulations to develop new strategies...
- This federal Project Grant award, provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences program (CFDA 47.049), aims to accelerate the discovery of lead-free perovskite nanocrystals through the integration of high-throughput experimentation, artificial intelligence, and advanced data-sharing strategies across multiple institutions. The $600,000 award, with a performance period from October 1, 2025 to September 30, 2029, will fund the establishment of...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $400,000 to Drexel University to accelerate the development of new inorganic materials for emerging energy, optoelectronic, and biomedical applications. The research aims to bridge the gap between computational materials design and practical laboratory synthesis through a feedback loop of computational predictions and real-time characterization of material formation. The project focuses on creating perovskite oxynitrides, which have highly tunable properties, by investigating the impact of precursor materials and reaction conditions. This work benefits society by accelerating the discovery and development of functional inorganic materials. The award also supports educational activities to expose K-12 and undergraduate students to inorganic materials science. The project will be conducted at Drexel University in Philadelphia, PA and is expected to be completed by August 31, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $400.0k | 8/20/25 |