Data from Delft University of Technology Broaden Understanding of Machine Learni ng (Predicting the diffusion coefficients of rejuvenators into bitumens using mo lecular dynamics, machine learning, and force field atom types)

Robotics & Machine Learning Daily News2024，Issue(Dec.16) ：50-50.

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Data from Delft University of Technology Broaden Understanding of Machine Learni ng (Predicting the diffusion coefficients of rejuvenators into bitumens using mo lecular dynamics, machine learning, and force field atom types)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - A new study on artificial intelligence is now ava ilable. According to news reporting from Delft,Netherlands, by NewsRx journalis ts, research stated, “This study explores the use of chemical descriptorsderive d from force field atom types to predict Fickian diffusion coefficients of rejuv enators in bitumen,utilizing machine learning models trained on data from 240 n on-equilibrium molecular dynamics simulations.”

Key words

Delft University of Technology/Delft/N etherlands/Europe/Cyborgs/Emerging Technologies/Machine Learning/Molecular Dynamics/Physics

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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