H2020Индивидуална стипендия2018–2020

TNFL-TMML · Topological New Fermions under Laser and New Topological Material Exploring via Machine Learning

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2018-04-01 → 2020-03-31
Финансиране от ЕС: 171 461 €
Участници: 1
Схема: MSCA-IF-EF-ST

Линиите свързват координатора с партньорите.

Накратко на български

Топологичните материали и техните състояния се променят чрез силни лазери, например при монослоен графен. Това помага за разбирането на физичните процеси и създаването на нови електронни и спинтронни устройства за квантови технологии.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

Topological New Fermions under Laser and New Topological Material Exploring via Machine Learning

In this project, we focus on 3 topics: 1) the Floquet engineering of topological states, including the laser induced anomalous Hall conductance on monolayer graphene, and the topological phase transitions induced by the driving laser in magnetically doped topological insulator (TI) thin films; 2) the search of new topological states and electric engineering for antiferromagnetic (AFM) TI thin films; and 3) material searching via machine learning. In the first and second topics, we aim to bring together 2 exciting fields of frontier condensed matter researches and material science: i) the studies of topological materials and ii) the novel control opportunities offered by strong lasers. In the last decade, tremendous progresses have been made in these fields both from theoretical and experimental points of views. The great success in this field further inspires new studies to understand the underlying physics and potential applications to use these exotic effects for electronic and spintronic device design. On the other hand, fast development of laser technology provides the possibility to control, modify, and steer the electronic properties of solid states precisely on ultra-fast (femto to pico-second) time scales in a reversible and flexible manner way beyond the possibilities in equilibrium. These properties of control are highly beneficial to many of the emerging quantum technologies. However, in this rich field theoretical approaches to describe the light matter interaction in topological systems and efficiently engineering the topological properties are urgently needed, which we will provide within our research endeavor.

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

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.

Оригинален текст от CORDIS (на английски).

Участници

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV · MUNCHENКоординаторГермания