This Project Grant award of $2,248,803.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of open-source software for differentiable dynamic simulation on complex geometries. The project, titled "Collaborative Research: Frameworks: Differentiable Dynamic Simulation on Complex Geometries for Parameter Inference, Design Optimization and Control," aims to create a software framework...
This $530,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support the development of an open-source software framework for differentiable dynamic simulation on complex geometries. The framework, named dPolyfem, will enable parameter inference, design optimization, and control across applications in computational fabrication, biomechanics, and robotics. The project, led by The Trustees of...
This federal Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports the creation of open instructional materials and training for thousands of learners in physics-based digital twin technologies for robotics. The $657,210 award, with a start date of November 1, 2025 and an end date of October 31, 2028, will enable engineers, scientists, and students to design and test robots through computer...
This $466,714 project grant from the National Science Foundation's Engineering program (CFDA 47.041) supports the development of new expressive and differentiable robotics simulators at Stanford University from September 2022 through August 2026. The researchers will establish the mathematical foundations for simulators with learnable components, prototype such simulators, and evaluate their ability to reduce the "sim-to-real gap" where robots perform differently in simulation versus...
This National Science Foundation project grant of $376,203 supports research at the University of Wisconsin-Madison to develop new expressive and differentiable robotics simulators from 2022 to 2026. The research aims to address key limitations in existing simulators that hamper accurate physical modeling of robots and hinder closing the gap between simulation and real-world performance. Specifically, the researchers will establish the mathematical foundations for robotics simulators with...
This Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $269,343 to the University of California, San Diego for research exploring geometric approaches to physical simulations. The award aims to develop new computational methods using non-Euclidean geometry to more accurately simulate turbulent fluids and solve partial differential equations on infinite...
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...
The National Science Foundation awarded a $200,000 Project Grant under the Engineering program (CFDA 47.041) to the South Dakota School of Mines & Technology. This 2-year award, running from June 2025 to May 2027, supports the development of a computational framework to simulate elastic deformation and fracture in advanced materials, such as metal-ceramic composites, under extreme conditions. The research aims to create open-source simulation tools that can guide the design of safer, more...
This Project Grant from the National Science Foundation Division of Information and Intelligent Systems provides $469,704 to support research in developing deep learning-empowered nonlinear deformable models for computer graphics applications. Funded under the Computer and Information Science and Engineering program (CFDA #47.070), the award will support research at the University of Utah from October 1, 2022 to April 30, 2024. The project aims to develop new techniques integrating advanced...
This $275,000 Project Grant from the National Science Foundation's (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program supports research on optimization algorithms and digital twins constrained by partial differential equations (PDEs) that incorporate data to make decisions resilient to uncertainty. The research will develop: (1) inexact adaptive semismooth Newton and trust-region methods to solve these optimization problems; (2) primal dual...
This Project Grant award of $178,967, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will support the development of open-source software for differentiable dynamic simulation on complex geometries. The project aims to create a modular software framework called "dpolyfem" that can enable automation of critical aspects of digital twin creation and use, such as integrating real-world data and optimizing system parameters. The software will be evaluated across three application areas: computational fabrication, biomechanics, and robotics. The deliverables include open-source software packages accessible to a broad user base, leveraging innovations in differentiable simulation, energy minimization, and large-scale benchmarking. The award is a collaborative effort involving computer scientists, applied mathematicians, and engineers, and the resulting framework is expected to have a significant impact across these research communities.