Objective
The project of “TNFL-TMML” is a fundamental and scientific project that will be carried out by Dr. Peizhe Tang under the supervision of Prof. Angel Rubio. Dr. Tang is a theoretical physicist with extensive experience and good publication records in the field of topological materials. Currently, he works in Prof. Shou-Cheng Zhang’s group at Stanford University as a post-doctor. Prof. Rubio is one of the leading exporters in fields of ab initio calculations of electron excitations and dynamics in Physics, Chemistry, and Biophysics. Now, he is the managing director of the theory department of MPSD (th-MPSD). This project will aslo involve collaborations with top international experimental groups, who will fabricate and characterise the proposed materials.
The proposed project “TNFL-TMML” is focusing on the topological fermions in the bulk states, including Dirac, Weyl and new fermions. These topological fermions can be regarded as new quantum states of matter and attract lots of attentions recently because of their exotic physical properties. Based on the studied objectives, the project of “TNFL-TMML” can be divided into two parts that will keep running in parallel. In Part1, Dr. Tang will study the electronic, optical and dynamic properties of new fermions beyond Dirac and Weyl models systemically via DFT, TDDFT and many body perturbation theory. He expects to discover the new physics and new quantum states of matter which can be verified by the future experiments soon. Part2 is about topological material discovery based on artificial intelligence technologies and self-developed unsupervised ML algorisms. In this part, new methods based on the Big Data of material science will be developed, which will benefit both for academic and industry in the future. Therefore, the success of “TNFL-TMML” will consolidate the leadership of th-MPSD group and create more advanced and effective methodological tools for other scientists in related fields.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesphysical sciencestheoretical physicsparticle physicsfermions
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencesbiological sciencesbiophysics
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- natural sciencesphysical sciencesopticslaser physics
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Programme(s)
Funding Scheme
MSCA-IF-EF-ST - Standard EFCoordinator
80539 Munchen
Germany