Project Grant 2152946
- This $300,000 National Science Foundation project grant, awarded under the Engineering program (CFDA 47.041), will fund the development of experimental capabilities to measure properties of supercritical fluids and their mixtures at the University of North Texas from August 2022 to July 2023. The university will obtain experimental data on critical properties for mixtures of carbon dioxide with argon and R134a refrigerant. It will also conduct natural convection experiments to demonstrate the...
- The National Science Foundation (NSF) awarded a $370,657 Project Grant under the Engineering program (CFDA 47.041) to the University of North Texas Research and Innovation Division. The grant supports collaborative research focused on delineating the anomalous behavior of supercritical fluids and exploring their potential applications in high-capacity, energy-efficient, and environmentally responsible fluid transport and thermal management systems. Key objectives include developing thermodynamic...
- This $145,234 National Science Foundation (NSF) Project Grant under the Engineering (CFDA 47.041) program will support collaborative research at the University of Akron to advance the understanding and applications of supercritical fluids. The research aims to characterize the anomalous behavior and transport phenomena of supercritical fluids such as water, carbon dioxide, methane, argon, and nitrogen. This knowledge will enable new technologies for high-capacity, energy-efficient, and...
- The National Science Foundation (NSF), through its Engineering program (CFDA 47.041), awarded a $350,000 project grant to Cornell University to advance simulations of gas-liquid mixtures, especially when they break apart into small droplets or bubbles and when small droplets or bubbles come together. This 3-year project, with an award date of August 1, 2025, aims to develop new ways to represent and model the fine details of fluid behavior, resulting in more accurate simulations without...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports theoretical and computational research to enhance the accuracy and efficiency of first-principles quantum mechanical simulations for understanding the electronic structure of materials. The $232,250 award to The Research Foundation for The State University of New York, operating as Stony Brook University, aims to develop innovative approximations to the exact...
- The National Science Foundation (NSF) Engineering program (CFDA 47.041) awarded a $691,033 Project Grant to the University of Massachusetts to develop a physics-enabled deep learning approach for improving the energy efficiency of adsorptive separations of aqueous mixtures. The project aims to identify general principles governing the behavior of chemical mixtures within confined nanoporous environments, combining experiments, computer modeling, and machine learning to predict mixture behavior...
- This National Science Foundation (NSF) Project Grant under the Engineering program (CFDA 47.041) supports a $337,663 research project at the University of Oklahoma from August 1, 2024 to July 31, 2027. The project aims to develop a revolutionary approach to synthesizing materials and chemicals under high-pressure conditions using porous materials. It proposes leveraging the high pressures observed within adsorbed fluid or solid films on solid substrates as an alternative to traditional,...
- This $40,932 Project Grant award from the National Science Foundation's (NSF) Integrative Activities (CFDA 47.083) program to the Trustees of the Colorado School of Mines focuses on quantifying the effects of compressibility and large molar-mass ratios on gravitationally driven turbulent flows. The research aims to develop a deeper understanding of the complex multi-material fluid dynamics observed in high-tech applications like supersonic combustion, fusion, and astrophysics. The project will...
- This $230,000 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to advance the understanding of how soft, deformable particles such as oil droplets and cells move through complex environments. The Research Foundation of the City University of New York (RFCUNY) at the City College campus is leading this collaborative research project, which combines carefully designed experiments with advanced computer simulations. The goal is to develop...
- This $294,555 Project Grant from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems, within the Engineering program (CFDA 47.041), will fund research at San Diego State University to develop neural network-based preconditioning methods to improve the computational efficiency of chemical property evaluations in reactive flow simulations. Specifically, the grantee will combine machine learning and adaptive tabulation approaches to more...
This $366,817 National Science Foundation project grant, awarded under the Engineering program (CFDA 47.041), will support the development of rigorous computational models and databases for predicting thermophysical properties of industrial supercritical fluid mixtures. The Research Foundation for the State University of New York will receive funding from July 2022 to June 2025 to conduct molecular simulations evaluating temperature-dependent virial coefficients for 31 representative chemical species and their mixtures. These results will form a publicly accessible database of hundreds of thousands of coefficients that can be used to compute thermodynamic properties in vapor and supercritical fluid phases. The coefficients will also be assessed against available experimental data and applied to further study critical point singularities and the Joule-Thomson effect in mixtures. Finally, the researchers will investigate applying the coefficients to parameterize widely used engineering thermodynamic models, broadening the range of applications for the molecular data.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $366.8k | 7/1/22 |