Robotics & Machine Learning Daily News2024,Issue(Feb.1) :85-85.DOI:10.1002/aic.18339

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)

Robotics & Machine Learning Daily News2024,Issue(Feb.1) :85-85.DOI:10.1002/aic.18339

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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Abstract

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).

Key words

Gainesville/Florida/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/University of Florida

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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被引量1
参考文献量39
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