This Project Grant award of $158,400 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will fund the development and delivery of a cybertraining program focused on enabling the use of digital twin technologies in robotics. The key products and services to be delivered include: (1) creating open instructional materials and training thousands of learners in physics-based digital twin technologies, enabling engineers, scientists, and...
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 from the National Science Foundation's STEM Education program (CFDA 47.076) provides $720,166 to the University of Washington to develop the "Remote Experimentation and Digital Twinning for Accessible and Innovative Learning (REDTAIL)" project. The 36-month project aims to enhance learning and promote understanding of lab concepts through the innovative use of digital twin technology - the integration of traditional simulation-based engineering models with...
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 of $199,066.00 from the National Science Foundation's Engineering program (CFDA 47.041) supports research to automate the creation of digital twins for manufacturing systems. The key objectives are to: Develop a dataset of manufacturing shop floor videos annotated with ISO 23247-compliant labels of observable manufacturing elements (OMEs). Train a neural radiance field (NeRF) model to reconstruct the shop environment as a high-fidelity 3D model. Implement a 3D...
The National Science Foundation awarded a $100,000 Project Grant to Arizona State University (ASU) to establish the Industry-University Cooperative Research Center for Digital Twins in Manufacturing (IUCRC-DTM). This five-year grant, effective April 1, 2025, will support fundamental research to develop, deploy, maintain, update, and evaluate digital twin technology for manufacturing applications. The IUCRC-DTM will focus on three key thrust areas: (1) Digital Twin Frameworks and Standards, (2)...
This Project Grant award of $200,000 from the National Science Foundation's Engineering program (CFDA 47.041) will support the establishment of the Industry-University Cooperative Research Center for Digital Twins in Manufacturing (IUCRC-DTM) at the University of Michigan. The center will conduct fundamental research to advance the development, deployment, maintenance, and evaluation of digital twins in manufacturing domains. Key focus areas include digital twin frameworks and standards, digital...
This Project Grant award, funded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program, supports fundamental research to improve the generalization capabilities of digital twin models for complex systems. The $269,187 grant will enable researchers at Smith College to develop hybrid digital twin architectures that combine physics-based and domain-agnostic components, allowing for improved predictive performance across a range of conditions,...
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 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 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, provides $657,210 to the University of Wisconsin-Madison to develop open instructional materials and deliver a cybertraining program on digital twin technologies for robotics applications.
The project aims to create a scalable pipeline that couples flipped-classroom pedagogy, cloud-ready software, and software-in-the-loop testbeds to train thousands of learners, including students at California State University campuses and experts at NASA and the Department of Energy. Key outcomes include a curated library of digital twin models and freely available training artifacts hosted on the NSF's ACCESS ecosystem, as well as an increase in CI-savvy robotics researchers capable of executing large-scale simulation studies on high-performance computers. No sub-awards are planned under this grant.