This $3.75 million project grant from the National Science Foundation's Computer and Information Science and Engineering program will support the augmentation of the Chrono computer simulation platform at the University of Wisconsin-Madison from July 2022 through June 2025. Chrono is an open-source simulation engine used across multiple fields to model interactions between mechanical systems, environments, and humans in applications like lunar rover engineering, vehicle design, wind turbines,...
This National Science Foundation award provides $257,096 to New Jersey Institute of Technology under the Computer and Information Science and Engineering program to augment the Chrono computer simulation platform. Chrono is an open-source simulation engine used across multiple disciplines to model interactions between mechanical systems, environments, and humans. This award will upgrade Chrono to incorporate recent computational dynamics innovations like improved differential equation solvers...
The National Science Foundation awarded $201,544 under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to The Johns Hopkins University from July 1, 2022 to June 30, 2025. This Project Grant will support augmenting and validating the Chrono physics-based simulation framework to empower research on autonomous agents operating in complex, unstructured dynamic environments that may interact with humans or other agents. Key deliverables include enabling Chrono...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program aims to develop software frameworks that can efficiently serve and deploy machine learning models for a variety of AI-powered applications. The $600,000 award, spanning from October 2024 to September 2027, tasks the prime awardee, Georgia Tech Research Corporation, with creating agile mechanisms and policies to serve a family of AI models across...
This $948,000 federal 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 new methods for data-efficient decision-focused learning to address uncertainty in various real-world decision-making problems. The research aims to create a general framework for pre-training key components and rapidly fine-tuning them for specific decision-making tasks, such as in public health,...
The National Science Foundation awarded a $700,000 Project Grant to the Georgia Tech Research Corporation from July 1, 2021 to June 30, 2024 under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant funds collaborative research on developing Markov chain algorithms to solve problems in computer science, statistical physics, and self-organizing particle systems. The Computer and Information Science and Engineering program supports...
This $199,040 Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop new classes of computational algorithms that combine the benefits of direct computer simulations and the speed of machine learning predictions. The project, titled "XTRIPODS: HYBRID SCIENCE-MACHINE LEARNING SOLVERS FOR NANOPHOTONICS AND METAMATERIALS," will embed scientific knowledge into the machine learning...
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's Office of Advanced Cyberinfrastructure awarded $437,500 to the University of Washington under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to expand the capabilities of the open-source Chronus Quantum software platform. The project will develop new computational methods within Chronus Quantum to simulate chemical processes exhibiting quantum behaviors, enabling time-resolved spectroscopy to support quantum chemistry...
The National Science Foundation awarded a $500,000 Project Grant to the Georgia TECH Research Corporation from July 1, 2021 through June 30, 2025 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports research to develop models for learning, refining, and understanding through relational feedback. The Computer and Information Science and Engineering program aims to advance computing and communication sciences through investigator-initiated research...