【大学频道】北京大学量子材料科学中心呈献 | Patrick Rinke of Aalto University
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图 | Patrick Rinke
题 目：The Artist: Artificial Intelligence for Spectroscopy
报告人：Patrick Rinke
单 位：Aalto University
时 间：2019-05-27
地 点：北京大学
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报告提纲
The Al-spectroscopist: first steps
The Al-spectroscopist: deep learning
Open questions and challenges
个人简介
In the Department of Applied Physics at Aalto, I lead the Computational Electronic Structure Theory (CEST) group. My group and I are developing advanced quantum mechanical methods and apply them to pertinent problems in material science, surface science, physics, chemistry and the nano sciences. Quantum mechanics gives us access to the behavior of atoms and electrons and allows us to gain an atomistic view of matter. Examples are the atomic structure of surfaces or hybrid organic-inorganic interfaces. Perturbing the atoms and electrons, as done in spectroscopies, reveals more information about matter. We use theoretical spectroscopy to probe the properties of molecules, molecules on surfaces, nanostructures, semiconductors including d- and f-electron oxides and materials for photovoltaic applications.
● 北京大学量子材料科学中心呈献 | 佛罗里达大学张晓光教授：Multi-phonon processes in solids from first-principles
● 北京大学量子材料科学中心呈献 | Michael S. Fuhrer：Topological materials for low-energy electronics
● 北京大学量子材料科学中心报告 | 吴留锁：Neutron Scattering and Spinon Excitations in Perovskite Quantum Magnet YbAIO₃
● 北京大学量子材料科学中心报告 | 卢海舟：Nonlinear Hall effect
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