Luca M. Ghiringhelli

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Katkıda bulunan yazarlar

Matthias SchefflerDirector of NOMAD Laboratory at FHI of Max-Planck-Gesellschaftfhi-berlin.mpg.de üzerinde doğrulanmış e-posta adresine sahip
Sergey V. LevchenkoSkolkovo Institute of Science and Technology, Skolkovo Innovation Center, Moscow, Russiaskoltech.ru üzerinde doğrulanmış e-posta adresine sahip
Runhai OuyangShanghai Universityshu.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Luigi Delle SiteInstitute for Mathematics, Department of Mathematics and Computer Science, Freie Universität Berlinfu-berlin.de üzerinde doğrulanmış e-posta adresine sahip
Saswata BhattacharyaAssociate Professor, Department of Physics, Indian Institute of Technology Delhi, Hauz Khasphysics.iitd.ac.in üzerinde doğrulanmış e-posta adresine sahip
Angelo ZilettiLead Data Scientist at Bayer AG, Pharmabayer.com üzerinde doğrulanmış e-posta adresine sahip
Daan FrenkelUniversity of Cambridge, UKcam.ac.uk üzerinde doğrulanmış e-posta adresine sahip
Davide DonadioUniversity of California Davisucdavis.edu üzerinde doğrulanmış e-posta adresine sahip
Jan VybíralCzech Technical Universityfjfi.cvut.cz üzerinde doğrulanmış e-posta adresine sahip
Jilles VreekenCISPA Helmholtz Center for Information Securitycispa.de üzerinde doğrulanmış e-posta adresine sahip
Mario BoleyUniversity of Haifa, Monash Universityis.haifa.ac.il üzerinde doğrulanmış e-posta adresine sahip
Curtarolo, StefanoDuke Universitynietzsche.mems.duke.edu üzerinde doğrulanmış e-posta adresine sahip
Thomas A. R. PurcellUniversity of Arizonaarizona.edu üzerinde doğrulanmış e-posta adresine sahip

Takip et

Luca M. Ghiringhelli

Professor for Data-based Materials Modeling @ FAU, dept. of Materials Science and Engineering

fau.de üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

Materials Science Statistical Mechanics Symbolic Inference Materials Informatics AI


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
New tolerance factor to predict the stability of perovskite oxides and halides CJ Bartel, C Sutton, BR Goldsmith, R Ouyang, CB Musgrave, ... Science advances 5 (2), eaav0693, 2019	1315	2019
Big data of materials science: critical role of the descriptor LM Ghiringhelli, J Vybiral, SV Levchenko, C Draxl, M Scheffler Physical review letters 114 (10), 105503, 2015	983	2015
SISSO: a compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates R Ouyang, S Curtarolo, E Ahmetcik, M Scheffler, LM Ghiringhelli Physical Review Materials 2 (8), 083802, 2018	740	2018
Report on the sixth blind test of organic crystal structure prediction methods AM Reilly, RI Cooper, CS Adjiman, S Bhattacharya, AD Boese, ... Acta Crystallographica Section B: Structural Science, Crystal Engineering …, 2016	642	2016
Insightful classification of crystal structures using deep learning A Ziletti, D Kumar, M Scheffler, LM Ghiringhelli Nature communications 9 (1), 2775, 2018	365	2018
Improved long-range reactive bond-order potential for carbon. I. Construction JH Los, LM Ghiringhelli, EJ Meijer, A Fasolino Physical Review B—Condensed Matter and Materials Physics 72 (21), 214102, 2005	305	2005
Simultaneous learning of several materials properties from incomplete databases with multi-task SISSO R Ouyang, E Ahmetcik, C Carbogno, M Scheffler, LM Ghiringhelli Journal of Physics: Materials 2 (2), 024002, 2019	178	2019
Modeling the phase diagram of carbon LM Ghiringhelli, JH Los, EJ Meijer, A Fasolino, D Frenkel Physical review letters 94 (14), 145701, 2005	166	2005
Learning physical descriptors for materials science by compressed sensing LM Ghiringhelli, J Vybiral, E Ahmetcik, R Ouyang, SV Levchenko, C Draxl, ... New Journal of Physics 19 (2), 023017, 2017	156	2017
Roadmap on machine learning in electronic structure HJ Kulik, T Hammerschmidt, J Schmidt, S Botti, MAL Marques, M Boley, ... Electronic Structure 4 (2), 023004, 2022	152	2022
Identifying domains of applicability of machine learning models for materials science C Sutton, M Boley, LM Ghiringhelli, M Rupp, J Vreeken, M Scheffler Nature communications 11 (1), 4428, 2020	144	2020
GAtor: a first-principles genetic algorithm for molecular crystal structure prediction F Curtis, X Li, T Rose, A Vazquez-Mayagoitia, S Bhattacharya, ... Journal of chemical theory and computation 14 (4), 2246-2264, 2018	134	2018
Towards efficient data exchange and sharing for big-data driven materials science: metadata and data formats LM Ghiringhelli, C Carbogno, S Levchenko, F Mohamed, G Huhs, ... npj computational materials 3 (1), 46, 2017	127*	2017
Theory and hierarchical calculations of the structure and energetics of [0001] tilt grain boundaries in graphene JM Carlsson, LM Ghiringhelli, A Fasolino Physical Review B—Condensed Matter and Materials Physics 84 (16), 165423, 2011	125	2011
Uncovering structure-property relationships of materials by subgroup discovery BR Goldsmith, M Boley, J Vreeken, M Scheffler, LM Ghiringhelli New Journal of Physics 19 (1), 013031, 2017	117	2017
Surface-induced crystallization in supercooled tetrahedral liquids T Li, D Donadio, LM Ghiringhelli, G Galli Nature materials 8 (9), 726-730, 2009	110	2009
Artificial-intelligence-driven discovery of catalyst genes with application to CO₂ activation on semiconductor oxides A Mazheika, YG Wang, R Valero, F Viñes, F Illas, LM Ghiringhelli, ... Nature Communications 13 (1), 419, 2022	99*	2022
Stability and Metastability of Clusters in a Reactive Atmosphere: <?format ?>Theoretical Evidence for Unexpected Stoichiometries of S Bhattacharya, SV Levchenko, LM Ghiringhelli, M Scheffler Physical review letters 111 (13), 135501, 2013	96	2013
Competing adsorption between hydrated peptides and water onto metal surfaces: From electronic to conformational properties LM Ghiringhelli, B Hess, NFA van der Vegt, L Delle Site Journal of the American Chemical Society 130 (40), 13460-13464, 2008	80	2008
Two-to-three dimensional transition in neutral gold clusters: The crucial role of van der Waals interactions and temperature BR Goldsmith, J Florian, JX Liu, P Gruene, JT Lyon, DM Rayner, ... Physical Review Materials 3 (1), 016002, 2019	72	2019

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