首页|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)
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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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.”
Delft University of TechnologyDelftN etherlandsEuropeCyborgsEmerging TechnologiesMachine LearningMolecular DynamicsPhysics
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