Project Grant 2535293
- The National Science Foundation Division of Computer and Network Systems awarded Iowa State University of Science and Technology $399,000 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for research on AI-enabled modeling, sensing, digital twins, and autonomous control in big area additive manufacturing. The project develops an intelligent manufacturing framework to detect and correct defects in large metal parts made using laser wire directed...
- The National Science Foundation Division of Computer and Network Systems awarded the University of Illinois $348,985 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop AI-enabled modeling, sensing, digital twins, and autonomous control systems for large-area additive manufacturing using laser wire directed energy deposition. The research establishes a cyber-physical systems framework for real-time prediction and control of...
- The National Science Foundation awarded a $272,440 project grant to Virginia Polytechnic Institute & State University from September 2021 through August 2024 under the Engineering (47.041) federal grant program. The grant supports collaborative research titled "AI-Driven Multi-Scale Design of Materials under Processing Constraints." The research aims to develop artificial intelligence techniques to design new materials while accounting for real-world manufacturing limitations. By...
- The National Science Foundation Office of Advanced Cyberinfrastructure awarded Virginia Polytechnic Institute & State University $1.2 million on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to investigate power-related vulnerabilities in AI data centers and their interactions with power grids. The project characterizes vulnerabilities arising from high-density accelerators and energy-intensive computing in AI facilities, focusing on...
- This $300,001 Project Grant awarded by the National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation under the NSF Directorate for Engineering (CFDA 47.041) supports research at Virginia Polytechnic Institute & State University (Virginia Tech) to define, evaluate, and improve data quality for effective artificial intelligence (AI) deployment in manufacturing. The key products and services to be delivered under this 3-year award include: Developing...
- The National Science Foundation awarded Virginia Polytechnic Institute & State University (Virginia Tech) a $5 million cooperative agreement on August 1, 2026, to establish the Virginia Tech NSF Programmable Cloud Laboratory (PCL) node, an AI-enabled, remotely accessible platform for semiconductor nanofabrication research and education. The award funds development of a secure, cloud-based self-driving nanofabrication system that integrates nanofabrication instruments, characterization tools,...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded Virginia Polytechnic Institute & State University $300,000 on September 1, 2026, under the Engineering program (CFDA 47.041) to develop methods for collaborative sequential experimentation in bio-additive manufacturing systems. The research establishes and validates a framework enabling multiple printers, laboratories, and organizations to learn from one another during experimentation while...
- The National Institute of Standards and Technology (NIST) awarded a $600,000 Congressionally-Identified Projects (CFDA 11.617) grant to Virginia Polytechnic Institute & State University (Virginia Tech) to procure industrial metal additive manufacturing (AM) machines. The grant funds will be used to purchase an Additive Friction Stir Deposition (AFSD) system and a Wire-Laser Direct Energy Deposition (DED) system, which will be installed at Virginia Tech's Blacksburg, VA campus. The...
- The National Science Foundation Division of Computer and Network Systems awarded Arizona State University $400,000 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop closed-loop digital twins that enable adaptive human-AI collaboration in manufacturing cyber-physical systems. The project addresses brittle, reactive artificial intelligence systems in modern manufacturing by creating intelligent models that monitor task execution in real...
- The National Science Foundation Division of Computing and Communication Foundations awarded the College of William & Mary $600,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop an AI-enhanced framework for authoring digital material representations from ordinary photographs. The research will investigate learned material-to-material (MAT2MAT) transformations that convert one digital material representation into another,...
The National Science Foundation Division of Computer and Network Systems awarded Virginia Polytechnic Institute & State University $449,812 on August 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop AI-enabled modeling, sensing, digital twins, and autonomous control systems for large-area additive manufacturing using laser wire directed energy deposition. The project establishes a cyber-physical systems framework for real-time prediction and control of microstructure and residual stresses in large metal parts manufactured through laser wire directed energy deposition. Research will integrate AI algorithms powered by fast computer simulations and in-machine sensor data to detect, suppress, and correct defects during manufacturing, enabling first-time-right production with zero defects in large, complex metal components for defense, energy, and aerospace sectors. The work includes workforce development at the intersection of AI, materials science, and advanced manufacturing. Performance occurs at Virginia Tech's Blacksburg, Virginia location with completion scheduled for July 31, 2029.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $449.8k | 8/12/26 |