This federal Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $100,000 to Arizona State University (ASU) to establish the Industry-University Cooperative Research Center for Digital Twins in Manufacturing (IUCRC-DTM). The center will conduct fundamental research to develop, deploy, maintain, update, and evaluate digital twin technology for manufacturing applications. Key focus areas include digital twin frameworks and standards, digital twin...
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 National Science Foundation Engineering (CFDA 47.041) Project Grant award of $199,066 to Miami University supports research to automate the creation of digital twins for manufacturing systems using computer vision and deep learning. The research aims to significantly reduce the manual effort required to construct digital twins while improving their accuracy and interoperability. Key innovations include developing a dataset of labeled manufacturing shop floor videos, training a neural...
This $444,562 Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research at Michigan State University to address the digital transformation of the facility management industry. The key objectives are to: Construct a digital twin ecosystem to enhance the role of facility managers through physical and cognitive assistance. Develop a multi-modal user interface to promote effective interaction within the digital ecosystem. Gauge facility...
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 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 $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 federal Project Grant award of $1,500,000.00 by the Air Force Research Laboratory (CFDA 12.800 - Air Force Defense Research Sciences Program) supports research on the Mathematics of Digital Twins. Key products and services to be delivered under this award include: Development of mathematical algorithms and computational methods for uncertainty quantification, parameter estimation, and data assimilation for digital twin prototyping (The Ohio State University) Creation of a framework for...
This $499,715 National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant award to the Texas A&M Engineering Experiment Station (Tees) is focused on developing a digital twin for an intelligent electromagnetic sensor on a chip (IEM-SOC). The key products and services to be delivered under this grant include: Producing a digital twin for the design and performance testing of an intelligent RF receiver (EM sensor) capable of real-time...
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 $200,000 Project Grant was awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) to the Regents of the University of Michigan. The award will fund the establishment of the Industry-University Cooperative Research Center for Digital Twins in Manufacturing (IUCRC-DTM), which will address fundamental research challenges in developing, deploying, maintaining, updating, and evaluating digital twins in manufacturing domains. The center will focus on three key thrust areas: (1) digital twin frameworks and standards, (2) digital twin applications, and (3) digital twin tools and workforce development. Through this award, the University of Michigan will leverage its expertise in manufacturing, robotics, control, and uncertainty quantification to advance transformative concepts in digital twins, including novel knowledge representations, aggregation and composition methods, and automatic generation and maintenance of digital twins. The award period runs from April 1, 2025 to March 31, 2030.