Robotics & Machine Learning Daily News2024,Issue(Jan.31) :38-38.

University of Tubingen Reports Findings in Machine Learning (Machine Learning of a Density Functional for Anisotropic Patchy Particles)

Robotics & Machine Learning Daily News2024,Issue(Jan.31) :38-38.

University of Tubingen Reports Findings in Machine Learning (Machine Learning of a Density Functional for Anisotropic Patchy Particles)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is the subject of a report. According to newsreporting originating from Tubingen, Germany, by NewsRx correspondents, research stated, “Anisotropicpatchy particles have become an archetypical statistical model system for associating fluids. Here, weformulate an approach to the Kern-Frenkel model via the classical density functional theory to describe thepositionally and orientationally resolved equilibrium density distributions in flat wall geometries.”

Key words

Tubingen/Germany/Europe/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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