Project Grant 2522671
- The National Science Foundation Division of Materials Research awarded The Pennsylvania State University $599,171 on October 1, 2026, for research on cation exchange pathways for constructing complex nanoparticle libraries under the Mathematical and Physical Sciences program (CFDA 47.049). Professor Raymond Schaak's research group at Penn State will design and synthesize new nanometer-scale materials using simple chemical reactions that replace certain elements within nanoparticle structures...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded The Pennsylvania State University $335,119 on August 1, 2026, under the Engineering program (CFDA 47.041) to develop data-driven agentic artificial intelligence approaches for multidisciplinary design optimization of autonomous engineered systems. The project will create computational and data-enabled solutions that reduce design time and cost across systems involving interactions across...
- The National Science Foundation awarded The Pennsylvania State University $1,328,423 on March 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to deploy advanced cyberinfrastructure connecting three Pennsylvania small institutions—Allegheny College, Harrisburg University of Science and Technology, and West Chester University—to the PA Science Network and regional high-performance computing, artificial intelligence, and storage resources. The project...
- The National Science Foundation Directorate for Mathematical and Physical Sciences awarded The Pennsylvania State University $518,835 on August 1, 2026, for computational and mathematical modeling of integrated energy microgenerators under the Mathematical and Physical Sciences program (CFDA 47.049). The project develops rigorous computational methodologies and software for simulating optoelectronic processes in integrated energy microgenerators (IEMGs), which are semiconductor devices that...
- The National Science Foundation Division of Information and Intelligent Systems awarded The Pennsylvania State University $400,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to support collaborative research on neuro-AI foundations for long-range dependency tasks. The project addresses fundamental challenges in enabling spiking neural networks to efficiently handle long-range dependencies and generative tasks for edge-based AI...
- The Pennsylvania State University, doing business as Penn State, received a $405,000 three-year Project Grant award from the National Science Foundation under the Engineering federal grant program (CFDA 47.041) to establish an Research Experiences for Undergraduates Site focused on nanomanufacturing of emerging two-dimensional materials and devices. Through the award commencing June 1, 2023, Penn State will train ten undergraduate students per year via a ten-week summer research experience...
- Federal Project Grant Award Summary The Pennsylvania State University received a $111,910 Project Grant award from the National Science Foundation's Office of International Science and Engineering (CFDA 47.079), effective October 1, 2025, through September 30, 2029. This collaborative research initiative, conducted in partnership with the Deutsche Forschungsgemeinschaft (German Research Foundation), focuses on the atoms-to-device closed-loop predictive design of electro-optic materials for...
- Federal Grant Award Summary The National Science Foundation's Division of Materials Research, under the Mathematical and Physical Sciences program (CFDA 47.049), awarded a collaborative project grant of $408,933 to The Pennsylvania State University, with a performance period from October 1, 2025, through September 30, 2028. This research initiative develops a predictive framework for controlling order-disorder phenomena in mixed-chalcogen semiconductors through integrated computer modeling,...
- This National Science Foundation (NSF) Engineering program (CFDA 47.041) award of $587,250 to The Pennsylvania State University, doing business as Penn State, will support research to create and evaluate new methods for incorporating decision support through artificial intelligence during early building design. The project aims to develop flexible machine learning models that can predict key building performance metrics, enable interactive human-computer collaboration on design exploration,...
- The National Science Foundation (NSF) awarded a $300,000 Early-concept Grant for Exploratory Research (EAGER) under the Engineering program (CFDA 47.041) to The Pennsylvania State University, doing business as Penn State, to conduct research on expanding the use of artificial intelligence (AI) in manufacturing. The project focuses on developing deep clustering and generative modeling techniques to identify geometric similarities between new part designs and existing designs to improve...
The National Science Foundation Office of International Science and Engineering awarded The Pennsylvania State University $750,000 on October 1, 2026, under the Office of International Science and Engineering program (CFDA 47.079) to develop an AI-guided platform for synthesis and discovery of two-dimensional semiconductors. The research establishes a framework integrating artificial intelligence, real-time optical diagnostics, multiscale simulation, and data science to accelerate reproducible production of wafer-scale transition metal dichalcogenide semiconductors. The project combines metalorganic chemical vapor deposition with in-situ spectroscopic ellipsometry, ex-situ characterization, and machine learning to uncover fundamental relationships governing two-dimensional materials synthesis and develop predictive strategies for controlling film growth and materials properties. A key innovation is real-time monitoring that continuously tracks atomically thin film evolution during growth, providing immediate feedback to computational models to identify promising synthesis pathways. The research also provides interdisciplinary training at the interface of materials science, data science, and artificial intelligence, and openly shares data, software, and educational resources with the broader research community. Performance occurs at State College, Pennsylvania, with a period of performance from October 1, 2026, through September 30, 2030.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $750.0k | 8/6/26 |