首页|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)
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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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.”
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