Machine Learning Meets Quantum Physics /

Designing molecules and materials with desired properties is an important prerequisite for advancing technology in our modern societies. This requires both the ability to calculate accurate microscopic properties, such as energies, forces and electrostatic multipoles of specific configurations, as w...

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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Schütt, Kristof T. (Editor), Chmiela, Stefan (Editor), von Lilienfeld, O. Anatole (Editor), Tkatchenko, Alexandre (Editor), Tsuda, Koji (Editor), Müller, Klaus-Robert (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:	1st ed. 2020.
Series:	Lecture Notes in Physics, 968
Subjects:	Quantum physics. Physics. Machine learning. Chemistry, Physical and theoretical. Quantum Physics. Numerical and Computational Physics, Simulation. Machine Learning. Theoretical and Computational Chemistry. Electronic books.
Online Access:	Connect to the full text of this electronic book