首页|Data on Machine Learning Reported by Ilya G. Ryabinkin and Colleagues (Thawed Ga ussian Wavepacket Dynamics with D-Machine-Learned Potentials)
Data on Machine Learning Reported by Ilya G. Ryabinkin and Colleagues (Thawed Ga ussian Wavepacket Dynamics with D-Machine-Learned Potentials)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting originating from Mississauga, Canada, by NewsRx correspondents, research stated, “A method for performing var iable-width (thawed) Gaussian wavepacket (GWP) variational dynamics on machinel earned potentials is presented. Instead of fitting the potential energy surface (PES), the anharmonic correction to the global harmonic approximation (GHA) is fitted using kernel ridge regression this is a D-machine learning approach.”
MississaugaCanadaNorth and Central A mericaBusinessCyborgsEmerging TechnologiesMachine Learning
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