Explore the words cloud of the NoMaD project. It provides you a very rough idea of what is the project "NoMaD" about.
The following table provides information about the project.
Coordinator |
MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Organization address contact info |
Coordinator Country | Germany [DE] |
Project website | http://nomad-coe.eu/ |
Total cost | 4˙910˙624 € |
EC max contribution | 4˙910˙624 € (100%) |
Programme |
1. H2020-EU.1.4.1.3. (Development, deployment and operation of ICT-based e-infrastructures) |
Code Call | H2020-EINFRA-2015-1 |
Funding Scheme | RIA |
Starting year | 2015 |
Duration (year-month-day) | from 2015-11-01 to 2018-10-31 |
Take a look of project's partnership.
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1 | MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV | DE (MUENCHEN) | coordinator | 1˙417˙837.00 |
2 | KING'S COLLEGE LONDON | UK (LONDON) | participant | 678˙264.00 |
3 | HUMBOLDT-UNIVERSITAET ZU BERLIN | DE (BERLIN) | participant | 561˙929.00 |
4 | AALTO KORKEAKOULUSAATIO SR | FI (ESPOO) | participant | 450˙000.00 |
5 | UNIVERSITAT DE BARCELONA | ES (BARCELONA) | participant | 414˙366.00 |
6 | DANMARKS TEKNISKE UNIVERSITET | DK (KGS LYNGBY) | participant | 343˙070.00 |
7 | PINTAIL LTD | IE (Blackrock) | participant | 250˙000.00 |
8 | BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION | ES (BARCELONA) | participant | 238˙749.00 |
9 | BAYERISCHE AKADEMIE DER WISSENSCHAFTEN | DE (MUENCHEN) | participant | 205˙500.00 |
10 | CSC-TIETEEN TIETOTEKNIIKAN KESKUS OY | FI (ESPOO) | participant | 205˙375.00 |
11 | THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE | UK (CAMBRIDGE) | participant | 145˙531.00 |
Essentially every new commercial product, be they smart phones, solar cells, batteries, transport technology, artificial hips, etc., depends on improved or even novel materials. Computational materials science is increasingly influential as a method to identify such critical materials for both R&D. Enormous amounts of data, precious but heterogeneous and difficult to access or utilise, are already stored in repositories scattered across Europe. The NoMaD CoE will open new HPC opportunities by enabling access to this data and delivering powerful new tools to search, retrieve and manage it. NoMaD will foster sharing of all relevant data, building on the unique CECAM, Psi-k and ETSF communities, putting Europe ahead of materials science in other continents. Unprecedented, already initialised networking with researchers, with industry, with students and with other stakeholders will guarantee relevance and end-user value. NoMaD will become a crucial tool for atomistic simulations and multi-scale modelling in the physical, materials, and quantum-chemical sciences. This field is characterised by a healthy but heterogeneous eco-system of many different codes that are used at all HPC centers worldwide, with millions of CPU hours spent every day, some of them at petascale performance. NoMaD will integrate the leading codes and make their results comparable by converting (and compressing) existing inputs and outputs into a common format, thus making these valuable data accessible to academia and industry: NoMaD will develop “big-data analytics” for materials science. This will require novel algorithms, e.g., for statistical learning based on the created materials encyclopedia, offering complex searches and novel visualisations. These challenges exploit the essential resources of our HPC partners. Without the infrastructure and services provided by the NoMaD CoE, much of the information created with the above mentioned petascale (towards exascale) computations would be wasted.
Workshop & Tutorials summary | Documents, reports | 2019-09-05 16:09:43 |
Analytics toolkit – final deployment | Other | 2019-09-05 16:09:43 |
Research manuscripts | Documents, reports | 2019-09-05 16:09:43 |
Final assessment of visualization tools | Documents, reports | 2019-09-05 16:09:43 |
Dissemination report | Documents, reports | 2019-09-05 16:09:43 |
Final report on HPC platform | Documents, reports | 2019-09-05 16:09:43 |
Summary of data workshops | Documents, reports | 2019-09-05 16:09:43 |
Project documentary video | Websites, patent fillings, videos etc. | 2019-09-05 16:09:43 |
First 40 conversion layers | Other | 2019-09-05 16:09:43 |
Graphical user interface | Demonstrators, pilots, prototypes | 2019-09-05 16:09:42 |
Analytics toolkit – initial deployment | Other | 2019-09-05 16:09:41 |
Data management plan | Open Research Data Pilot | 2019-09-05 16:09:42 |
HPC platform requirements and architecture report | Documents, reports | 2019-09-05 16:09:41 |
Code-independent database | Other | 2019-09-05 16:09:42 |
Terms of Reference – SAC and IAC | Documents, reports | 2019-09-05 16:09:42 |
Query algorithms | Other | 2019-09-05 16:09:42 |
Dissemination materials | Websites, patent fillings, videos etc. | 2019-09-05 16:09:41 |
Remote visualization guide | Websites, patent fillings, videos etc. | 2019-09-05 16:09:42 |
Demonstration of the search engine for one material class | Demonstrators, pilots, prototypes | 2019-09-05 16:09:42 |
Analytics toolkit – interim deployment | Other | 2019-09-05 16:09:41 |
First 30 conversion layers | Other | 2019-09-05 16:09:41 |
Website industrial section | Websites, patent fillings, videos etc. | 2019-09-05 16:09:41 |
Website | Websites, patent fillings, videos etc. | 2019-09-05 16:09:41 |
First assessment of visualization tools | Documents, reports | 2019-09-05 16:09:41 |
Data formats and compression | Documents, reports | 2019-09-05 16:09:41 |
Take a look to the deliverables list in detail: detailed list of NoMaD deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2018 |
Francesc Viñes, Ana Iglesias-Juez, Marcos Fernández-GarcÃa, Francesc Illas Understanding W Doping in Wurtzite ZnO published pages: 19082-19089, ISSN: 1932-7447, DOI: 10.1021/acs.jpcc.8b06881 |
The Journal of Physical Chemistry C 122/33 | 2019-09-05 |
2018 |
Ãngel Morales-GarcÃa, Rosendo Valero, Francesc Illas Reliable and computationally affordable prediction of the energy gap of (TiO 2 ) n (10 ≤ n ≤ 563) nanoparticles from density functional theory published pages: 18907-18911, ISSN: 1463-9076, DOI: 10.1039/c8cp03582b |
Physical Chemistry Chemical Physics 20/28 | 2019-09-05 |
2018 |
Raul Morales-Salvador, Ãngel Morales-GarcÃa, Francesc Viñes, Francesc Illas Two-dimensional nitrides as highly efficient potential candidates for CO 2 capture and activation published pages: 17117-17124, ISSN: 1463-9076, DOI: 10.1039/C8CP02746C |
Physical Chemistry Chemical Physics 20/25 | 2019-09-05 |
2018 |
Lorena Vega, Biel MartÃnez, Francesc Viñes, Francesc Illas Robustness of surface activity electronic structure-based descriptors of transition metals published pages: 20548-20554, ISSN: 1463-9076, DOI: 10.1039/C8CP03356K |
Physical Chemistry Chemical Physics 20/31 | 2019-09-05 |
2018 |
Christopher J. Bartel, Christopher Sutton, Bryan R. Goldsmith, Runhai Ouyang, Charles B. Musgrave, Luca M. Ghiringhelli, and Matthias Scheffler New Tolerance Factor to Predict the Stability of Perovskite Oxides and Halides published pages: , ISSN: 2375-2548, DOI: |
Sci Adv | 2019-09-05 |
2018 |
Juan José Piñero, Pedro J Ramirez, Stefan T. Bromley, Francesc Illas, Francesc Viñes, Jose A. Rodriguez Diversity of Adsorbed Hydrogen on the TiC (001) Surface at High Coverages published pages: , ISSN: 1932-7447, DOI: 10.1021/acs.jpcc.8b07340 |
The Journal of Physical Chemistry C | 2019-09-05 |
2017 |
Draxl, Claudia; Illas, Francesc; Scheffler, Matthias Open data settled in materials theory published pages: , ISSN: 1476-4687, DOI: |
Nature | 2019-09-05 |
2018 |
Martà López, Luke Broderick, John J. Carey, Francesc Viñes, Michael Nolan, Francesc Illas Tuning transition metal carbide activity by surface metal alloying: a case study on CO 2 capture and activation published pages: 22179-22186, ISSN: 1463-9076, DOI: 10.1039/C8CP03648A |
Physical Chemistry Chemical Physics 20/34 | 2019-09-05 |
2018 |
Schmidt, Per Simmendefeldt; Thygesen, Kristian Sommer Benchmark Database of Transition Metal Surface and Adsorption Energies from Many-Body Perturbation Theory published pages: , ISSN: 1932-7455, DOI: |
Journal of Physical Chemistry C 1 | 2019-09-05 |
2018 |
Andris Gulans, Anton Kozhevnikov, Claudia Draxl Microhartree precision in density functional theory calculations published pages: , ISSN: 2469-9950, DOI: 10.1103/PhysRevB.97.161105 |
Physical Review B 97/16 | 2019-09-05 |
2017 |
Albert P. Bartók, Sandip De, Carl Poelking, Noam Bernstein, James R. Kermode, Gábor Csányi, Michele Ceriotti Machine learning unifies the modeling of materials and molecules published pages: e1701816, ISSN: 2375-2548, DOI: 10.1126/sciadv.1701816 |
Science Advances 3/12 | 2019-09-05 |
2017 |
Johannes Flick, Heiko Appel, Michael Ruggenthaler, Angel Rubio Cavity Born–Oppenheimer Approximation for Correlated Electron–Nuclear-Photon Systems published pages: 1616-1625, ISSN: 1549-9618, DOI: 10.1021/acs.jctc.6b01126 |
Journal of Chemical Theory and Computation 13/4 | 2019-09-05 |
2017 |
Tanja Dimitrov, Johannes Flick, Michael Ruggenthaler, Angel Rubio Exact functionals for correlated electron–photon systems published pages: 113036, ISSN: 1367-2630, DOI: 10.1088/1367-2630/aa8f09 |
New Journal of Physics 19/11 | 2019-09-05 |
2018 |
Shunsuke A. Sato, Hannes Hübener, Angel Rubio, Umberto De Giovannini First-principles simulations for attosecond photoelectron spectroscopy based on time-dependent density functional theory published pages: , ISSN: 1434-6028, DOI: 10.1140/epjb/e2018-90108-7 |
The European Physical Journal B 91/6 | 2019-09-05 |
2018 |
Adrián Gómez Pueyo, Miguel A. L. Marques, Angel Rubio, Alberto Castro Propagators for the Time-Dependent Kohn–Sham Equations: Multistep, Runge–Kutta, Exponential Runge–Kutta, and Commutator Free Magnus Methods published pages: 3040-3052, ISSN: 1549-9618, DOI: 10.1021/acs.jctc.8b00197 |
Journal of Chemical Theory and Computation 14/6 | 2019-09-05 |
2018 |
H. Lambert, Adam Fekete, J.R. Kermode, A. De Vita Imeall: A computational framework for the calculation of the atomistic properties of grain boundaries published pages: 256-263, ISSN: 0010-4655, DOI: 10.1016/j.cpc.2018.04.029 |
Computer Physics Communications 232 | 2019-09-05 |
2018 |
Shunsuke A. Sato, Matteo Lucchini, Mikhail Volkov, Fabian Schlaepfer, Lukas Gallmann, Ursula Keller, Angel Rubio Role of intraband transitions in photocarrier generation published pages: , ISSN: 2469-9950, DOI: 10.1103/PhysRevB.98.035202 |
Physical Review B 98/3 | 2019-09-05 |
2018 |
Nicolas Tancogne-Dejean, Michael A. Sentef, Angel Rubio Ultrafast Modification of Hubbard U in a Strongly Correlated Material: Ab initio High-Harmonic Generation in NiO published pages: , ISSN: 0031-9007, DOI: 10.1103/PhysRevLett.121.097402 |
Physical Review Letters 121/9 | 2019-09-05 |
2017 |
Johannes Flick, Christian Schäfer, Michael Ruggenthaler, Heiko Appel, Angel Rubio Ab Initio Optimized Effective Potentials for Real Molecules in Optical Cavities: Photon Contributions to the Molecular Ground State published pages: 992-1005, ISSN: 2330-4022, DOI: 10.1021/acsphotonics.7b01279 |
ACS Photonics 5/3 | 2019-09-05 |
2018 |
Topp, Gabriel E.; Tancogne-Dejean, Nicolas; Kemper, Alexander F.; Rubio, Angel; Sentef, Michael A. All-optical nonequilibrium pathway to stabilizing magnetic Weyl semimetals in pyrochlore iridates published pages: , ISSN: 2041-1723, DOI: |
Nature Communications 1 | 2019-09-05 |
2018 |
Norah M. Hoffmann, Heiko Appel, Angel Rubio, Neepa T. Maitra Light-matter interactions via the exact factorization approach published pages: , ISSN: 1434-6028, DOI: 10.1140/epjb/e2018-90177-6 |
The European Physical Journal B 91/8 | 2019-09-05 |
2017 |
E. Baldini, L. Chiodo, A. Dominguez, M. Palummo, S. Moser, M. Yazdi-Rizi, G. Auböck, B.P.P. Mallett, H. Berger, A. Magrez, C. Bernhard, M. Grioni, A. Rubio, M. Chergui Strongly bound excitons in anatase TiO2 single crystals and nanoparticles published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-017-00016-6 |
Nature Communications 8/1 | 2019-09-05 |
2018 |
Aldo Glielmo, Claudio Zeni, Alessandro De Vita Efficient nonparametric n -body force fields from machine learning published pages: , ISSN: 2469-9950, DOI: 10.1103/PhysRevB.97.184307 |
Physical Review B 97/18 | 2019-09-05 |
2018 |
Runhai Ouyang, Stefano Curtarolo, Emre Ahmetcik, Matthias Scheffler, Luca M. Ghiringhelli SISSO: A compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates published pages: , ISSN: 2475-9953, DOI: 10.1103/PhysRevMaterials.2.083802 |
Physical Review Materials 2/8 | 2019-09-05 |
2018 |
Haastrup, Sten; Strange, Mikkel; Pandey, Mohnish; Deilmann, Thorsten; Schmidt, Per S.; Hinsche, Nicki F.; Gjerding, Morten N.; Torelli, Daniele; Larsen, Peter M.; Riis-Jensen, Anders C.; Gath, Jakob; Jacobsen, Karsten W.; Mortensen, Jens Jørgen; Olsen, Thomas; Thygesen, Kristian S. The Computational 2D Materials Database: High-Throughput Modeling and Discovery of Atomically Thin Crystals published pages: , ISSN: 2053-1583, DOI: |
2D Materials 4 | 2019-09-05 |
2017 |
M. N. Gjerding, R. Petersen, T. G. Pedersen, N. A. Mortensen, K. S. Thygesen Layered van der Waals crystals with hyperbolic light dispersion published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-017-00412-y |
Nature Communications 8/1 | 2019-09-05 |
2018 |
Dongbin Shin, Hannes Hübener, Umberto De Giovannini, Hosub Jin, Angel Rubio, Noejung Park Phonon-driven spin-Floquet magneto-valleytronics in MoS2 published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-018-02918-5 |
Nature Communications 9/1 | 2019-09-05 |
2018 |
Iris Theophilou, Florian Buchholz, F. G. Eich, Michael Ruggenthaler, Angel Rubio Kinetic-Energy Density-Functional Theory on a Lattice published pages: 4072-4087, ISSN: 1549-9618, DOI: 10.1021/acs.jctc.8b00292 |
Journal of Chemical Theory and Computation 14/8 | 2019-09-05 |
2018 |
Shunsuke A. Sato, Aaron Kelly, Angel Rubio Coupled forward-backward trajectory approach for nonequilibrium electron-ion dynamics published pages: , ISSN: 2469-9950, DOI: 10.1103/PhysRevB.97.134308 |
Physical Review B 97/13 | 2019-09-05 |
2018 |
Karsten Rasim, Reiner Ramlau, Andreas Leithe-Jasper, Takao Mori, Ulrich Burkhardt, Horst Borrmann, Walter Schnelle, Christian Carbogno, Matthias Scheffler, Yuri Grin Local Atomic Arrangements and Band Structure of Boron Carbide published pages: 6130-6135, ISSN: 1433-7851, DOI: 10.1002/anie.201800804 |
Angewandte Chemie International Edition 57/21 | 2019-09-05 |
2016 |
Ghiringhelli, Luca M.; Carbogno, Christian; Levchenko, Sergey; Mohamed, Fawzi; Huhs, Georg; Lueders, Martin; Oliveira, Micael; Scheffler, Matthias Towards a Common Format for Computational Material Science Data published pages: , ISSN: , DOI: |
4 | 2019-09-05 |
2017 |
Ask Hjorth Larsen, Mikael Kuisma, Joakim Löfgren, Yann Pouillon, Paul Erhart, Per Hyldgaard libvdwxc: a library for exchange–correlation functionals in the vdW-DF family published pages: 65004, ISSN: 0965-0393, DOI: 10.1088/1361-651X/aa7320 |
Modelling and Simulation in Materials Science and Engineering 25/6 | 2019-09-05 |
2018 |
Claudio Zeni, Kevin Rossi, Aldo Glielmo, Ãdám Fekete, Nicola Gaston, Francesca Baletto, Alessandro De Vita Building machine learning force fields for nanoclusters published pages: 241739, ISSN: 0021-9606, DOI: 10.1063/1.5024558 |
The Journal of Chemical Physics 148/24 | 2019-09-05 |
2018 |
Johanna I. Fuks, Lionel Lacombe, Søren E. B. Nielsen, Neepa T. Maitra Exploring non-adiabatic approximations to the exchange–correlation functional of TDDFT published pages: 26145-26160, ISSN: 1463-9076, DOI: 10.1039/C8CP03957G |
Physical Chemistry Chemical Physics 20/41 | 2019-09-05 |
2018 |
Matthias Rupp, O. Anatole von Lilienfeld, Kieron Burke Guest Editorial: Special Topic on Data-Enabled Theoretical Chemistry published pages: 241401, ISSN: 0021-9606, DOI: 10.1063/1.5043213 |
The Journal of Chemical Physics 148/24 | 2019-09-05 |
2018 |
Honghui Shang, Nathaniel Raimbault, Patrick Rinke, Matthias Scheffler, Mariana Rossi, Christian Carbogno All-electron, real-space perturbation theory for homogeneous electric fields: theory, implementation, and application within DFT published pages: 73040, ISSN: 1367-2630, DOI: 10.1088/1367-2630/aace6d |
New Journal of Physics 20/7 | 2019-09-05 |
2018 |
Angelo Ziletti, Devinder Kumar, Matthias Scheffler, Luca M. Ghiringhelli Insightful classification of crystal structures using deep learning published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-018-05169-6 |
Nature Communications 9/1 | 2019-09-05 |
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Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
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The information about "NOMAD" are provided by the European Opendata Portal: CORDIS opendata.