首页|Findings from University of Florida in the Area of Machine Learning Described (Investigating the Influence of Particle Distribution On Force and Torque Statistics Using Hierarchical Machine Learning)
Findings from University of Florida in the Area of Machine Learning Described (Investigating the Influence of Particle Distribution On Force and Torque Statistics Using Hierarchical Machine Learning)
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Research findings on Machine Learning are discussed in a new report. According to news reporting out of Gainesville, Florida, by NewsRx editors, research stated, “An accurate representation of hydrodynamic force and torque experienced by every particle in a distribution can be obtained from particle resolved (PR) simulations. These unique quantities are influenced by the deterministic position of surrounding particles.” Funders for this research include NSF - Directorate for Engineering (ENG), Office of Naval Research (ONR) as part of the Multidisciplinary University Research Initiatives (MURI) Program, US Department of Energy, National Nuclear Security Administration, Advanced Simulation and Computing Program, University of Florida under the Predictive Science Academic Alliance Program, National Science Foundation (NSF).
GainesvilleFloridaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniversity of Florida
NETL
NSTL
Wiley
