首页|Research Data from University of Oulu Update Understanding of Machine Learning ( Polarizability Models for Simulations of Finite Temperature Raman Spectra From M achine Learning Molecular Dynamics)
Research Data from University of Oulu Update Understanding of Machine Learning ( Polarizability Models for Simulations of Finite Temperature Raman Spectra From M achine Learning Molecular Dynamics)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Fresh data on Machine Learning are presented in a new report. According to news reporting from Oulu, Finland, by NewsRx journalis ts, research stated, “Raman spectroscopy is a powerful and nondestructive method that is widely used to study the vibrational properties of solids or molecules. Simulations of finite-temperature Raman spectra rely on obtaining polarizabilit ies along molecular-dynamics trajectories, which is computationally highly deman ding if calculated from first principles.”
OuluFinlandEuropeCyborgsEmerging TechnologiesMachine LearningMolecular DynamicsPhysicsUniversity of Oulu
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