Robotics & Machine Learning Daily News2024,Issue(Jan.3) :66-67.

Georgia Institute of Technology Reports Findings in Machine Learning (Machine Learning Models for Predicting Molecular Diffusion in Metal-Organic Frameworks Accounting for the Impact of Framework Flexibility)

Robotics & Machine Learning Daily News2024,Issue(Jan.3) :66-67.

Georgia Institute of Technology Reports Findings in Machine Learning (Machine Learning Models for Predicting Molecular Diffusion in Metal-Organic Frameworks Accounting for the Impact of Framework Flexibility)

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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 news originatingfrom Atlanta, Georgia, by NewsRx correspondents, research stated, “Molecular diffusion in MOFsplays an important role in determining whether equilibrium can be reached in adsorption-based chemicalseparations and is a key driving force in membrane-based separations. Molecular dynamics (MD) simulationshave shown that in some cases inclusion of framework flexibility in MOF changes predicted moleculardiffusivities by orders of magnitude relative to more efficient MD simulations using rigid structures.”

Key words

Atlanta/Georgia/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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