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Can I read Machine Learning Meets Quantum Physics (Lecture Notes in Physics (968)) on EtoBox?
Machine Learning Meets Quantum Physics (Lecture Notes in Physics (968)) by Kristof T Schütt; Stefan Chmiela; O. Anatole von Lilienfeld; Alexandre Tkatchenko; Koji Tsuda; Klaus-Robert Müller; SpringerLink (Online service) is a science book available to read on EtoBox.
What is Machine Learning Meets Quantum Physics (Lecture Notes in Physics (968)) about?
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 well as efficient sampling of potential energy surfaces to obtain corresponding macroscopic properties. Tools that can provide this are accurate first-principles calculations rooted in quantum mechanic
Who reads Machine Learning Meets Quantum Physics (Lecture Notes in Physics (968))?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Kristof T Schütt; Stefan Chmiela; O. Anatole von Lilienfeld; Alexandre Tkatchenko; Koji Tsuda; Klaus-Robert Müller; SpringerLink (Online service)
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2020
- Language
- EN
- ISBN
- 9783030402457
- Category
- science
- Subjects
- Science, Chemistry, Mathematics
- Updated
- 2026-03-24
More by Kristof T Schütt; Stefan Chmiela; O. Anatole von Lilienfeld; Alexandre Tkatchenko; Koji Tsuda; Klaus-Robert Müller; SpringerLink (Online service)
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