The Department of the Air Force Materiel Command Research Laboratory awarded a $150,000 Project Grant to the National Academy of Sciences to provide partial support for a consensus study on foundational research gaps and future directions for digital twins. The study will be conducted under the Air Force Defense Research Sciences Program (CFDA 12.800), which aims to maintain Air Force technological superiority through scientific research, prevent technological surprise, and create it for...
The University of Texas at Austin was awarded a $4,500,000 Project Grant by the Air Force Research Laboratory under the Air Force Defense Research Sciences Program (CFDA 12.800) on October 1, 2024. The grant, titled "(MURI) MATHEMATICAL AND COMPUTATIONAL FOUNDATIONS FOR PREDICTIVE DIGITAL TWINS," supports fundamental and applied scientific research to maintain technological superiority for the U.S. Air Force and Space Force. The research aims to prevent technological surprise, create...
This $769,412 federal Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports research to advance predictive digital twins of jet engines. The key products and services to be delivered include: Developing high-fidelity multiphysics models for jet engine combustion and flow, as well as scalable reduced-order models with quantified uncertainties. Constructing models for particle-surface interactions to quantify erosion and...
The University of California, Santa Cruz (UCSC) has been awarded a $2,499,579 Project Grant from the Air Force Defense Research Sciences Program (CFDA 12.800) to develop "DIGITAL TWIN ENABLED AUTONOMOUS CONTROL FOR ON-ORBIT SPACECRAFT SERVICING." This 3-year grant, awarded on September 25, 2023, aims to increase the resilience and availability of space assets through research on autonomous on-orbit servicing, refueling, repair, and towing/decommissioning. UCSC is collaborating with...
This $465,614 federal Project Grant awarded by the Air Force Research Laboratory under the Air Force Defense Research Sciences Program (CFDA 12.800) supports the development of a "Digital, Multiscale, Adaptive Assembly Platform for Multifunctional Material Systems" at Northwestern University. The project aims to advance fundamental research and technological capabilities in areas critical to national defense, including quantum computing, materials science, and aerospace systems....
This $269,187 project grant awarded by the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports fundamental research into improving the generalization capabilities of digital twins - computational models that emulate and interact with complex physical systems. The primary objectives are to: Develop a new class of hybrid digital twins that balance the strengths of physics-based and domain-agnostic approaches to enhance out-of-distribution...
This $493,637 federal Project Grant award, funded by the National Science Foundation (NSF) Engineering program (CFDA 47.041), aims to advance simulation-based manufacturing process digital twin (DT) technologies. The key research goals are to: 1) develop a self-organizing DT framework that continuously validates and calibrates the simulator, 2) create optimal control algorithms for contingency scenarios, and 3) leverage parallel computing for rapid optimization. The research will establish...
This $299,148 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports the development, analysis, and deployment of Quantum Digital Twins (QDTs) - digital clones of existing quantum computers. The project, led by Virginia Polytechnic Institute & State University, aims to create a comprehensive mathematical and statistical framework for QDTs that will enable bidirectional interactions between quantum computers...
This National Science Foundation Project Grant of $283,099 will support the development of new stochastic optimization methods to calibrate digital twins using large datasets. Awarded under the Engineering program (CFDA 47.041), the grant will fund research at the University of Michigan from January 2023 through December 2025. Specifically, the university researchers will develop computational approaches using statistical theories to guide simulation experiments and identify optimal subsets of...
This Project Grant award, valued at $1,161,402.00, was provided by the Air Force Research Laboratory under the Air Force Defense Research Sciences Program (CFDA 12.800). The award, with a performance period from October 1, 2024 to September 30, 2027, supports research on "Dissipative Synthesis and Distillation of Remote Entanglement." The primary awardee is the University of Illinois, and the project involves two sub-awards to the University of Chicago and the California Institute of...