The National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program awarded a $434,000 Project Grant to the University of Maryland, College Park to develop the first high-fidelity aerodynamic virtual human model. This 4-year collaborative research project aims to: (1) model the aerodynamic microenvironment near the human face, (2) simulate air flow interactions with the human body, skin, hair, and clothing, and (3) develop computational...
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 Project Grant award from the National Science Foundation (NSF) Engineering Directorate (CFDA 47.041) provides $523,552 to the University of Texas at Austin to develop advanced computational models for simulating complex turbulent fluid flows. The research aims to create reliable, broadly applicable turbulence models for use in Large Eddy Simulation (LES) to enable more practical and accurate simulations across fields like aeronautics, propulsion, power generation, and wind energy. In...
The National Science Foundation (NSF) awarded a $321,388 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the Texas A&M Engineering Experiment Station (Tees) to conduct research aimed at developing novel haptic technologies to create a more realistic sense of touch in virtual reality interfaces. The research project has three core objectives: (1) develop models of how human skin interacts with textured surfaces during touch; (2) fabricate...
This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) for $259,701 aims to develop a novel hierarchical adjoint-based data assimilation framework to improve the accuracy and efficiency of turbulence flow modeling and prediction. The key products/services to be delivered include: Development of open-source software tools encapsulating the hierarchical adjoint-based data assimilation (HADA) framework, which will be made available to researchers...
The National Science Foundation (NSF) Engineering program (CFDA 47.041) has awarded a $349,999 Project Grant to the University of Texas at Austin to develop reliable Reynolds Averaged Navier-Stokes (RANS) turbulence models that can generalize to complex turbulent flows. The objective is to improve the predictive capabilities of computational fluid dynamics simulations, which have applications in aerospace, automotive, power generation, and wind energy sectors. The approach involves developing...
This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $350,000 in funding to Harvard University to develop reliable and predictive computational models for simulating complex turbulent flows. The objective is to create generalized Reynolds Averaged Navier-Stokes (RANS) turbulence models that can accurately predict turbulent flows, which are essential for advancing key technologies in sectors such as aerospace, automotive, and power...
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 $107,654 Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, supports research to develop next-generation thermal user interfaces for multisensory virtual reality (VR) experiences. The project explores "thermal masking" techniques to create realistic temperature sensations in VR without large, high-power devices, with the goal of enhancing immersion, usability, and energy...
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...