The Johns Hopkins University was awarded a $1.3 million Project Grant from the National Science Foundation Office of Advanced Cyberinfrastructure under the federal Computer and Information Science and Engineering grant program (CFDA 47.070) to develop the DATA CI PILOT: VARIMAT STREAMING POLYSTORE INTEGRATION OF VARIED EXPERIMENTAL MATERIALS DATA project from October 1, 2021 to September 30, 2023. Under the award, Johns Hopkins will advance data science and instrument streaming goals through...
This $499,624 National Science Foundation project grant supports research at the University of Pittsburgh to develop physics-guided machine learning methods for turbulent flow simulation. Funded under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), the three-year award aims to advance computational fluid dynamics capabilities. Specifically, the university researchers will create a new deep learning model incorporating physical constraints to reconstruct...
The National Science Foundation (NSF) awarded a $500,000 Project Grant to The Johns Hopkins University on August 15, 2023 under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant will fund the establishment of a 30 petabyte (PB) campus-wide research data storage facility at Johns Hopkins. This high-performance storage system will support a wide range of scientific research projects at the university, including large numerical simulations and microscopy data....
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program award of $175,000 will fund the development of an open-source, GPU-enabled computational fluid dynamics (CFD) framework at the University of Wyoming. The project aims to create advanced numerical methods and software for accurately and efficiently simulating fluid dynamics problems, with a focus on modeling compressible Navier Stokes equations using the high-order accurate discontinuous...
This $559,751 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a scalable, open-source platform for modeling complex fluid-structure interaction problems. The project aims to enhance the accuracy and computational performance of particle methods, enabling experimentally validated models for real-world scenarios in aerospace, renewable energy, and healthcare. Key objectives include...
The National Science Foundation awarded a $400,000 Project Grant to The Johns Hopkins University under the Engineering federal grant program (CFDA 47.041) for the period of June 1, 2023 through May 31, 2026. This NSF grant aims to develop new data-driven modeling and analysis techniques for cyber-physical systems through a novel combination of machine learning and physics-based approaches. Specifically, Johns Hopkins University will work to transform human interaction with complex engineered...
This Project Grant award of $630,763 from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research at the Georgia Tech Research Corporation to develop a systematic machine learning framework for modeling multiscale fluid dynamics phenomena. The objective is to create explicit mathematical models that can accurately predict multiscale processes underlying applications such as weather forecasting, climate modeling, fusion energy, and other scientific and...
This $499,543 federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program supports the development of novel, high-fidelity computational tools for simulating the interaction between extreme hydrodynamic conditions and coastal structures. The research, conducted by The Research Foundation for The State University of New York (Stony Brook University), aims to advance mathematical methods, algorithms, and software to enable more...
Stanford University was awarded a $600,000 Project Grant from the National Science Foundation Office of Advanced Cyberinfrastructure to support the ELEMENTS: AMR-H project. Under the Computer and Information Science and Engineering program (CFDA #47.070), this three-year award will fund the development of an adaptive multi-resolution high-order solver for multiphase compressible flows on heterogeneous platforms. The grant aims to advance computing capabilities for complex fluid dynamics...
This $420,000 Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports the development of new numerical algorithms for simulating complex multiscale, multiphysics systems. The primary awardee, Virginia Polytechnic Institute & State University (Virginia Tech), will construct a novel hybrid time integration framework to enable accurate and efficient co-simulation of systems governed by time-dependent partial differential...