Opendata, web and dolomites

TNFL-TMML SIGNED

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

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 TNFL-TMML project word cloud

Explore the words cloud of the TNFL-TMML project. It provides you a very rough idea of what is the project "TNFL-TMML" about.

zhang    tnfl    ab    shou    discovery    methodological    theoretical    electronic    experimental    dft    big    excitations    consolidate    aslo    discover    exotic    initio    extensive    leadership    keep    fabricate    algorisms    will    post    director    cheng    mpsd    perturbation    good    chemistry    weyl    intelligence    he    material    models    dr    tang    physical    fermions    physics    running    exporters    groups    self    divided    dirac    systemically    data    expects    tools    attract    electron    ml    part1    body    soon    collaborations    stanford    lots    experiments    scientific    involve    optical    university    quantum    create    works    records    biophysics    science    dynamic    bulk    publication    unsupervised    academic    angel    tddft    parallel    dynamics    physicist    theory    technologies    peizhe    industry    parts    supervision    part2    international    calculations    group    prof    tmml    scientists    fundamental    doctor    verified    attentions    topological    characterise    artificial    rubio    materials    regarded    benefit   

Project "TNFL-TMML" data sheet

The following table provides information about the project.

Coordinator
MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV 

Organization address
address: HOFGARTENSTRASSE 8
city: Munich
postcode: 80539
website: www.mpg.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 171˙460 €
 EC max contribution 171˙460 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-04-01   to  2020-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV DE (Munich) coordinator 171˙460.00

Map

 Project 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.

 Publications

year authors and title journal last update
List of publications.
2019 S. A. Sato, J. W. McIver, M. Nuske, P. Tang, G. Jotzu, B. Schulte, H. Hübener, U. De Giovannini, L. Mathey, M. A. Sentef, A. Cavalleri, A. Rubio
Microscopic theory for the light-induced anomalous Hall effect in graphene
published pages: , ISSN: 2469-9950, DOI: 10.1103/physrevb.99.214302
Physical Review B 99/21 2019-10-07
2019 S A Sato, P Tang, M A Sentef, U De Giovannini, H Hübener, A Rubio
Light-induced anomalous Hall effect in massless Dirac fermion systems and topological insulators with dissipation
published pages: 93005, ISSN: 1367-2630, DOI: 10.1088/1367-2630/ab3acf
New Journal of Physics 21/9 2019-10-07
2018 Lang Peng, Jing-Jing Xian, Peizhe Tang, Angel Rubio, Shou-Cheng Zhang, Wenhao Zhang, Ying-Shuang Fu
Visualizing topological edge states of single and double bilayer Bi supported on multibilayer Bi(111) films
published pages: , ISSN: 2469-9950, DOI: 10.1103/physrevb.98.245108
Physical Review B 98/24 2019-04-18

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "TNFL-TMML" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "TNFL-TMML" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

STIMOS (2019)

Stimulation of Multiple Organoids Simultaneously

Read More  

MarshFlux (2020)

The effect of future global climate and land-use change on greenhouse gas fluxes and microbial processes in salt marshes

Read More  

VINCI (2020)

The Value of Information and Choice to Improve Control.

Read More