Project Grant 2529471
- This Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $269,979 to the Santa Fe Institute of Science to conduct collaborative research on developing robust digital twin models that can accurately predict the behavior of complex systems under unexpected conditions. The key objectives are to: Investigate the generalization abilities of digital twins by combining mathematical tools from nonlinear dynamics and machine...
- This Project Grant award, valued at $175,007, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The award supports the development of a new framework for digital twin modeling of Alzheimer's disease (AD), combining clinical data, biomedical research, and advanced computational methods to enable personalized medicine. The project aims to build a unified modeling framework for...
- This $500,005.00 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) aims to develop innovative methodologies for quantifying and controlling rare events in complex systems using digital twins. The project, titled "RAREDT: Rare Event Quantification and Control in Digital Twins," will create digital twin models that explicitly incorporate rare event quantification and control to enhance safety and resilience in areas such...
- This federal Project Grant award from the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) provides $199,066 in funding to Miami University to support research on automating the creation of digital twins for manufacturing systems. The research aims to leverage computer vision and deep learning techniques to reduce the manual effort required to build digital twins, while improving their accuracy and interoperability. Key innovations include developing a dataset of...
- The National Science Foundation (NSF) awarded a Project Grant of $500,000 to Arizona State University under the Engineering program (CFDA 47.041) to establish the Industry-University Cooperative Research Center for Digital Twins in Manufacturing (IUCRC-DTM). The IUCRC-DTM will conduct fundamental research to address challenges in developing, deploying, maintaining, updating, and evaluating digital twin technology for manufacturing applications. The center aims to generate pre-competitive...
- This National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences program (CFDA 47.049) provides $370,774 to the University of Houston System to develop an innovative framework for learning digital twins of human physiology. The goal is to create personalized, data-enabled digital models that can simulate glucose metabolism and help evaluate new treatments and technologies for type 1 diabetes management, without the risks of real-world trials. The research...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $1M project grant to the Regents of the University of Michigan to establish the Industry-University Cooperative Research Center for Digital Twins in Manufacturing (IUCRC-DTM). This 5-year project will address fundamental research challenges for developing, deploying, maintaining, updating, and evaluating digital twins in manufacturing domains. The center aims to generate pre-competitive research outcomes and...
- This $256,000 National Science Foundation Engineering Directorate Project Grant supports the development of a digital twin composition method by Diamond Age Technology LLC. The awardee will develop techniques to efficiently combine disparate data sources describing industrial process facilities into a single digital representation with sub-centimeter accuracy. This digital twin can then be projected into spatial computing environments like virtual and augmented reality. The goal is to encode...
- This $200,000 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program will fund the development of advanced computational methods to create high-fidelity, fast-running digital twins of patient hearts and cardiovascular medical devices. The project aims to deliver: 1) novel machine learning algorithms for accurate digital twin geometry reconstruction from 3D medical images, 2) an efficient inverse method to identify in vivo...
- This $200,000 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) aims to develop the mathematical and statistical foundations for a Digital Twin (DT) system to enhance neurophysiological modeling and uncertainty quantification for individuals with Autism Spectrum Disorder (ASD). The key products and services to be delivered include: Computational models based on Conditional Variational Auto-Encoders (CVAE) and longitudinal CVAE to analyze brain...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $350,000 to The Ohio State University (OSU) to develop a Bayesian data assimilation framework for digital twins. The project aims to enable structured uncertainty quantification, verification, and validation across modular components for a digital twin system integrated into a virtual surgical planning process for cranio-facial reconstructive surgery. The digital twin will maintain synchronized models of a human mandible after traumatic injury and a surgical fixation plate, allowing a robotic plate bender to iteratively bend the plate, monitor changes, and update the digital model in real-time. This will help ensure the applied forces will not induce long-term weakening or failure. The project addresses the critical need for robust, real-time methods to quantify, propagate, and manage uncertainty in digital twin systems, promoting safer and more reliable medical interventions.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $350.0k | 8/5/25 |