Project Grant 2550981
- The National Science Foundation awarded The University of Texas at San Antonio $429,040 on September 15, 2025, under the Mathematical and Physical Sciences program (CFDA 47.049) to develop computationally efficient hypercomplex variable-based sensitivity methods for rapid digital twin model updating. The project addresses a critical bottleneck in digital twin applications: existing methods for updating digital models with real-world data operate too slowly for real-time use. The research...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) federal grant award provides $174,980 to the Rochester Institute of Technology (RIT) to develop techniques and a framework for enabling "live 3D digital twins" - real-time digital representations of 3D physical objects. The project aims to create adaptive digital twin pipelines that can maintain low latency and high accuracy across varying network and compute resources, with applications...
- This Project Grant award from the National Institute of Standards and Technology (NIST) under the Congressionally-Identified Projects program (CFDA 11.617) provides $1,445,000 to the University of Texas at Austin to create new high-resolution datasets, a computational urban digital twin framework, and downscaled climate information for urban-scale analysis. The goal is to enable data-driven decision making on the deployment of critical infrastructure to better prepare for future extreme...
- The National Science Foundation Division of Civil, Mechanical, and Manufacturing Innovation awarded The University of Central Florida Board of Trustees $304,307 on February 1, 2026, to develop a digital twin modeling framework for quantifying and reducing greenhouse gas emissions from vertical infrastructure operations. The recipient will create a high-fidelity three-dimensional digital twin augmented by live sensor data and real-time predictive models to design and operate buildings with...
- The National Science Foundation (NSF) awarded a $250,000 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the University of Texas at Austin. The grant, titled "COLLABORATIVE RESEARCH: MATH-DT CLOSING THE GENERALIZATION GAP OF DIGITAL TWINS," aims to develop fundamental theories and robust digital twins that can accurately predict outcomes for complex systems under extreme or unexpected conditions. The project will focus initially on modeling human...
- The National Science Foundation's Division of Electrical, Communications and Cyber Systems awarded the University of Texas at Dallas $506,406 on October 1, 2026, to develop a digital-twin-accelerated inverse metasurface (DT-AIM) optimization framework under the Engineering program (CFDA 47.041). The project integrates advanced electromagnetic simulation, reduced-order modeling, machine learning, and hardware-in-the-loop validation to accelerate the design of large, reconfigurable...
- This $149,983 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program, with a performance period from April 1, 2025 to March 31, 2026, supports Baylor University's research to couple digital twins with multisector models to build economic and infrastructure resilience in rural gateway communities near national parks. The project aims to develop multisector dynamic models that can provide long-term projections and explore...
- The National Science Foundation Division of Engineering Education and Centers awarded $452,933 to the University of Texas at El Paso on October 1, 2026, to establish a Research Experiences for Undergraduates (REU) Site focused on intelligent manufacturing, artificial intelligence, and digital twin technologies. The program immerses ten undergraduate students annually in ten weeks of faculty-mentored research integrating additive manufacturing, AI-driven design and process monitoring, and digital...
- Federal Grant Award Summary Texas A&M Engineering Experiment Station received a $499,715 Project Grant award effective June 15, 2025, under the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) to develop a digital twin for an Intelligent Electromagnetic Sensor-on-Chip (IEM-SOC) with emerging memory technology integration. The primary product deliverable is a scalable digital twin platform designed to validate new circuit designs and...
- This Project Grant award from the National Science Foundation (NSF) Integrative Activities program (CFDA 47.083) provides $224,642 to the University of Louisiana at Lafayette to create high-fidelity digital models, or "digital twins," of space-specific power generation sources, loads, communication, and control systems. This research aims to support NASA's Artemis program, which seeks to return humans to the Moon and establish a sustainable presence there. The project involves...
The National Science Foundation Division of Computer and Network Systems awarded the University of Texas at Arlington $350,000 on October 1, 2025, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop and pilot co-created digital twins—3D, data-enriched models of homes—for simulating extreme heat behavior indoors and outdoors in preparation for heat-resilient retrofit design. The project, operating under the CIVIC Innovation Challenge Track A, equips enrolled homes in San Antonio's Westside neighborhood with indoor and outdoor temperature sensors to capture real-time heat data. Researchers create digital twins using low-cost LiDAR sensors via smartphones validated with professional-grade scanners, then run high-resolution thermal simulations using SimScale for indoor airflow and comfort modeling and ENVI-MET for outdoor microclimate analysis. The project tests two hypotheses: that digital twins support better co-design of heat-resilient retrofits, and that coordinated outreach drives adoption. Work is performed in Arlington, Texas with place of performance at Arlington, TX 76019. The period of performance runs from October 1, 2025, to September 30, 2026. The University of Texas at San Antonio and the University of Alabama serve as sub-recipients under this award, each receiving pass-through funding to support the co-created digital twins initiative.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $350.0k | 12/1/25 |
GrantNumber | Description | Subgrantee | Prime Award | Dollars Obligated | Updated At |
|---|---|---|---|---|---|
2026GC1019S | University Of Alabama | Project Grant 2550981 | $96.0k | 2/24/26 | |
2026GC2019S | The University Of Texas At San Antonio | Project Grant 2550981 | $102.5k | 1/23/26 |