Big-Data Analytics for the Thermal and Electrical Conductivity of Materials from First Principles

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Publikacje

Hierarchical Symbolic Regression for Identifying Key Physical Parameters Correlated with Bulk Properties of Perovskites

Autorzy: Lucas Foppa, Thomas A. R. Purcell, Sergey V. Levchenko, Matthias Scheffler, Luca M. Ghiringhelli
Opublikowane w: Physical Review Letters, Numer 129, 2025, ISSN 0031-9007
Wydawca: American Physical Society
DOI: 10.1103/physrevlett.129.055301

Interpretable machine learning for materials design

Autorzy: James Dean, Matthias Scheffler, Thomas A. R. Purcell, Sergey V. Barabash, Rahul Bhowmik, Timur Bazhirov
Opublikowane w: Journal of Materials Research, Numer 38, 2023, Strona(/y) 4477-4496, ISSN 0884-2914
Wydawca: Materials Research Society
DOI: 10.1557/s43578-023-01164-w

Massive-Parallel Implementation of the Resolution-of-Identity Coupled-Cluster Approaches in the Numeric Atom-Centered Orbital Framework for Molecular Systems

Autorzy: Tonghao Shen, Zhenyu Zhu, Igor Ying Zhang, Matthias Scheffler
Opublikowane w: Journal of Chemical Theory and Computation, Numer 15, 2023, Strona(/y) 4721-4734, ISSN 1549-9618
Wydawca: American Chemical Society
DOI: 10.1021/acs.jctc.8b01294

Carrier mobility of strongly anharmonic materials from first principles

Autorzy: Jingkai Quan, Christian Carbogno, Matthias Scheffler
Opublikowane w: Physical Review B, Numer 110, 2024, ISSN 2469-9950
Wydawca: American Physical Society (APS)
DOI: 10.1103/physrevb.110.235202

"All-electron periodic <mml:math xmlns:mml=""http://www.w3.org/1998/Math/MathML""><mml:mrow><mml:msub><mml:mi>G</mml:mi><mml:mn>0</mml:mn></mml:msub><mml:msub><mml:mi>W</mml:mi><mml:mn>0</mml:mn></mml:msub></mml:mrow></mml:math> implementation with numerical atomic orbital basis functions: Algorithm and benchmarks"

Autorzy: Xinguo Ren, Florian Merz, Hong Jiang, Yi Yao, Markus Rampp, Hermann Lederer, Volker Blum, Matthias Scheffler
Opublikowane w: Physical Review Materials, Numer 5, 2021, ISSN 2475-9953
Wydawca: American Physical Society (APS)
DOI: 10.1103/physrevmaterials.5.013807

<i>Ab initio</i> Green-Kubo simulations of heat transport in solids: Method and implementation

Autorzy: Florian Knoop, Matthias Scheffler, Christian Carbogno
Opublikowane w: Physical Review B, Numer 107, 2023, ISSN 2469-9950
Wydawca: American Physical Society (APS)
DOI: 10.1103/physrevb.107.224304

Accelerating materials-space exploration for thermal insulators by mapping materials properties via artificial intelligence

Autorzy: Thomas A. R. Purcell, Matthias Scheffler, Luca M. Ghiringhelli, Christian Carbogno
Opublikowane w: npj Computational Materials, Numer 9, 2023, ISSN 2057-3960
Wydawca: Springer Science and Business Media LLC
DOI: 10.1038/s41524-023-01063-y

Fully anharmonic nonperturbative theory of vibronically renormalized electronic band structures

Autorzy: Marios Zacharias, Matthias Scheffler, Christian Carbogno
Opublikowane w: Physical Review B, Numer 102, 2020, ISSN 2469-9950
Wydawca: American Physical Society (APS)
DOI: 10.1103/physrevb.102.045126

The NOMAD Artificial-Intelligence Toolkit: turning materials-science data into knowledge and understanding

Autorzy: Luigi Sbailò, Ádám Fekete, Luca M. Ghiringhelli, Matthias Scheffler
Opublikowane w: npj Computational Materials, Numer 8, 2024, ISSN 2057-3960
Wydawca: Springer Science and Business Media LLC
DOI: 10.1038/s41524-022-00935-z

Recent advances in the SISSO method and their implementation in the SISSO++ code

Autorzy: Thomas A. R. Purcell, Matthias Scheffler, Luca M. Ghiringhelli
Opublikowane w: The Journal of Chemical Physics, Numer 159, 2025, ISSN 0021-9606
Wydawca: American Institute of Physics
DOI: 10.1063/5.0156620

Finite-Size Effects in Periodic EOM-CCSD for Ionization Energies and Electron Affinities: Convergence Rate and Extrapolation to the Thermodynamic Limit

Autorzy: Evgeny Moerman, Alejandro Gallo, Andreas Irmler, Tobias Schäfer, Felix Hummel, Andreas Grüneis, Matthias Scheffler
Opublikowane w: Journal of Chemical Theory and Computation, Numer 21, 2025, Strona(/y) 1865-1878, ISSN 1549-9618
Wydawca: American Chemical Society
DOI: 10.1021/acs.jctc.4c01451

FHI-vibes: Ab Initio Vibrational Simulations

Autorzy: Florian Knoop, Thomas Purcell, Matthias Scheffler, Christian Carbogno
Opublikowane w: Journal of Open Source Software, Numer 5, 2020, Strona(/y) 2671, ISSN 2475-9066
Wydawca: The Open Journal
DOI: 10.21105/joss.02671

Shared metadata for data-centric materials science

Autorzy: Luca M. Ghiringhelli, Carsten Baldauf, Tristan Bereau, Sandor Brockhauser, Christian Carbogno, Javad Chamanara, Stefano Cozzini, Stefano Curtarolo, Claudia Draxl, Shyam Dwaraknath, Ádám Fekete, James Kermode, Christoph T. Koch, Markus Kühbach, Alvin Noe Ladines, Patrick Lambrix, Maja-Olivia Himmer, Sergey V. Levchenko, Micael Oliveira, Adam Michalchuk, Ronald E. Miller, Berk Onat, Pasquale Pavo
Opublikowane w: Scientific Data, Numer 10, 2023, ISSN 2052-4463
Wydawca: Springer Science and Business Media LLC
DOI: 10.1038/s41597-023-02501-8

Heat flux for semilocal machine-learning potentials

Autorzy: Marcel F. Langer, Florian Knoop, Christian Carbogno, Matthias Scheffler, Matthias Rupp
Opublikowane w: Physical Review B, Numer 108, 2023, ISSN 2469-9950
Wydawca: American Physical Society (APS)
DOI: 10.1103/physrevb.108.l100302

DFT exchange: sharing perspectives on the workhorse of quantum chemistry and materials science

Autorzy: Andrew M. Teale, Trygve Helgaker, Andreas Savin, Carlo Adamo, Bálint Aradi, Alexei V. Arbuznikov, Paul W. Ayers, Evert Jan Baerends, Vincenzo Barone, Patrizia Calaminici, Eric Cancès, Emily A. Carter, Pratim Kumar Chattaraj, Henry Chermette, Ilaria Ciofini, T. Daniel Crawford, Frank De Proft, John F. Dobson, Claudia Draxl, Thomas Frauenheim, Emmanuel Fromager, Patricio Fuentealba, Laura Gagliard
Opublikowane w: Physical Chemistry Chemical Physics, Numer 24, 2024, Strona(/y) 28700-28781, ISSN 1463-9076
Wydawca: Royal Society of Chemistry
DOI: 10.1039/d2cp02827a

Interface to high-performance periodic coupled-clustertheory calculations with atom-centered, localized basisfunctions

Autorzy: Evgeny Moerman, Felix Hummel, Andreas Grüneis, Andreas Irmler, Matthias Scheffler
Opublikowane w: Journal of Open Source Software, Numer 7, 2022, Strona(/y) 4040, ISSN 2475-9066
Wydawca: The Open Journal
DOI: 10.21105/joss.04040

Identifying domains of applicability of machine learning models for materials science

Autorzy: Christopher Sutton, Mario Boley, Luca M. Ghiringhelli, Matthias Rupp, Jilles Vreeken, Matthias Scheffler
Opublikowane w: Nature Communications, Numer 11, 2022, ISSN 2041-1723
Wydawca: Nature Publishing Group
DOI: 10.1038/s41467-020-17112-9

OPTIMADE, an API for exchanging materials data

Autorzy: Casper W. Andersen, Rickard Armiento, Evgeny Blokhin, Gareth J. Conduit, Shyam Dwaraknath, Matthew L. Evans, Ádám Fekete, Abhijith Gopakumar, Saulius Gražulis, Andrius Merkys, Fawzi Mohamed, Corey Oses, Giovanni Pizzi, Gian-Marco Rignanese, Markus Scheidgen, Leopold Talirz, Cormac Toher, Donald Winston, Rossella Aversa, Kamal Choudhary, Pauline Colinet, Stefano Curtarolo, Davide Di Stefano, Cla
Opublikowane w: Scientific Data, Numer 8, 2022, ISSN 2052-4463
Wydawca: Springer Science and Business Media LLC
DOI: 10.1038/s41597-021-00974-z

Self-interaction corrected SCAN functional for molecules and solids in the numeric atom-center orbital framework

Autorzy: Sheng Bi, Christian Carbogno, Igor Ying Zhang, Matthias Scheffler
Opublikowane w: The Journal of Chemical Physics, Numer 160, 2024, ISSN 0021-9606
Wydawca: American Institute of Physics
DOI: 10.1063/5.0178075

SISSO++: A C++ Implementation of the Sure-IndependenceScreening and Sparsifying Operator Approach

Autorzy: Thomas A. R. Purcell, Matthias Scheffler, Christian Carbogno, Luca M. Ghiringhelli
Opublikowane w: Journal of Open Source Software, Numer 7, 2022, Strona(/y) 3960, ISSN 2475-9066
Wydawca: The Open Journal
DOI: 10.21105/joss.03960

Performance of various density-functional approximations for cohesive properties of 64 bulk solids

Autorzy: Guo-Xu Zhang, Anthony M Reilly, Alexandre Tkatchenko, Matthias Scheffler
Opublikowane w: New Journal of Physics, Numer 20, 2020, Strona(/y) 063020, ISSN 1367-2630
Wydawca: Institute of Physics Publishing
DOI: 10.1088/1367-2630/aac7f0

Numerical quality control for DFT-based materials databases

Autorzy: Christian Carbogno, Kristian Sommer Thygesen, Björn Bieniek, Claudia Draxl, Luca M. Ghiringhelli, Andris Gulans, Oliver T. Hofmann, Karsten W. Jacobsen, Sven Lubeck, Jens Jørgen Mortensen, Mikkel Strange, Elisabeth Wruss, Matthias Scheffler
Opublikowane w: npj Computational Materials, Numer 8, 2022, ISSN 2057-3960
Wydawca: Springer Science and Business Media LLC
DOI: 10.1038/s41524-022-00744-4

TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions

Autorzy: Benjamin Regler, Matthias Scheffler, Luca M. Ghiringhelli
Opublikowane w: Data Mining and Knowledge Discovery, Numer 36, 2022, Strona(/y) 1815-1864, ISSN 1384-5810
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s10618-022-00847-y

Extrapolation to the complete basis-set limit in density-functional theory using statistical learning

Autorzy: Daniel T. Speckhard, Christian Carbogno, Luca M. Ghiringhelli, Sven Lubeck, Matthias Scheffler, Claudia Draxl
Opublikowane w: Physical Review Materials, Numer 9, 2025, ISSN 2475-9953
Wydawca: American Physical Society (APS)
DOI: 10.1103/physrevmaterials.9.013801

AI guided workflows for efficiently screening the materials space

Autorzy: Matthias Scheffler
Opublikowane w: Coshare Science, Numer 2, 2024, Strona(/y) 1-18, ISSN 3006-8045
Wydawca: Coshare Academic Press Company Limited
DOI: 10.61109/cs.202403.129

FAIR data enabling new horizons for materials research

Autorzy: Matthias Scheffler, Martin Aeschlimann, Martin Albrecht, Tristan Bereau, Hans-Joachim Bungartz, Claudia Felser, Mark Greiner, Axel Groß, Christoph T. Koch, Kurt Kremer, Wolfgang E. Nagel, Markus Scheidgen, Christof Wöll, Claudia Draxl
Opublikowane w: Nature, Numer 604, 2022, Strona(/y) 635-642, ISSN 0028-0836
Wydawca: Nature Publishing Group
DOI: 10.1038/s41586-022-04501-x

Beyond Scaling Relations for the Description of Catalytic Materials

Autorzy: Mie Andersen, Sergey V. Levchenko, Matthias Scheffler, Karsten Reuter
Opublikowane w: ACS Catalysis, Numer 9/4, 2019, Strona(/y) 2752-2759, ISSN 2155-5435
Wydawca: American Chemical Society
DOI: 10.1021/acscatal.8b04478

NOMAD: The FAIR concept for big data-driven materials science

Autorzy: Claudia Draxl, Matthias Scheffler
Opublikowane w: MRS Bulletin, Numer 43/9, 2018, Strona(/y) 676-682, ISSN 0883-7694
Wydawca: Materials Research Society
DOI: 10.1557/mrs.2018.208

SISSO: A compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates

Autorzy: Runhai Ouyang, Stefano Curtarolo, Emre Ahmetcik, Matthias Scheffler, Luca M. Ghiringhelli
Opublikowane w: Physical Review Materials, Numer 2/8, 2018, ISSN 2475-9953
Wydawca: American Physical Society
DOI: 10.1103/physrevmaterials.2.083802

Two-to-three dimensional transition in neutral gold clusters: The crucial role of van der Waals interactions and temperature

Autorzy: Bryan R. Goldsmith, Jacob Florian, Jin-Xun Liu, Philipp Gruene, Jonathan T. Lyon, David M. Rayner, André Fielicke, Matthias Scheffler, Luca M. Ghiringhelli
Opublikowane w: Physical Review Materials, Numer 3/1, 2019, ISSN 2475-9953
Wydawca: APS
DOI: 10.1103/physrevmaterials.3.016002

Simultaneous learning of several materials properties from incomplete databases with multi-task SISSO

Autorzy: Runhai Ouyang, Emre Ahmetcik, Christian Carbogno, Matthias Scheffler, Luca M Ghiringhelli
Opublikowane w: Journal of Physics: Materials, Numer 2/2, 2019, Strona(/y) 024002, ISSN 2515-7639
Wydawca: IOP Publishing
DOI: 10.1088/2515-7639/ab077b

Crowd-sourcing materials-science challenges with the NOMAD 2018 Kaggle competition

Autorzy: Christopher Sutton, Luca M. Ghiringhelli, Takenori Yamamoto, Yury Lysogorskiy, Lars Blumenthal, Thomas Hammerschmidt, Jacek R. Golebiowski, Xiangyue Liu, Angelo Ziletti, Matthias Scheffler
Opublikowane w: npj Computational Materials, Numer 5/1, 2019, ISSN 2057-3960
Wydawca: Nature Research, Springer Nature
DOI: 10.1038/s41524-019-0239-3

Main-group test set for materials science and engineering with user-friendly graphical tools for error analysis: systematic benchmark of the numerical and intrinsic errors in state-of-the-art electronic-structure approximations

Autorzy: Igor Ying Zhang, Andrew J Logsdail, Xinguo Ren, Sergey V Levchenko, Luca Ghiringhelli, Matthias Scheffler
Opublikowane w: New Journal of Physics, Numer 21/1, 2019, Strona(/y) 013025, ISSN 1367-2630
Wydawca: Institute of Physics Publishing
DOI: 10.1088/1367-2630/aaf751

New tolerance factor to predict the stability of perovskite oxides and halides

Autorzy: Christopher J. Bartel, Christopher Sutton, Bryan R. Goldsmith, Runhai Ouyang, Charles B. Musgrave, Luca M. Ghiringhelli, Matthias Scheffler
Opublikowane w: Science Advances, Numer 5/2, 2019, Strona(/y) eaav0693, ISSN 2375-2548
Wydawca: American Association for the Advancement of Science
DOI: 10.1126/sciadv.aav0693

(Meta-)stability and Core–Shell Dynamics of Gold Nanoclusters at Finite Temperature

Autorzy: Diego Guedes-Sobrinho, Weiqi Wang, Ian P. Hamilton, Juarez L. F. Da Silva, Luca M. Ghiringhelli
Opublikowane w: The Journal of Physical Chemistry Letters, Numer 10/3, 2019, Strona(/y) 685-692, ISSN 1948-7185
Wydawca: American Chemical Society
DOI: 10.1021/acs.jpclett.8b03397

Artificial intelligence for high-throughput discovery of topological insulators: The example of alloyed tetradymites

Autorzy: Guohua Cao, Runhai Ouyang, Luca M. Ghiringhelli, Matthias Scheffler, Huijun Liu, Christian Carbogno, Zhenyu Zhang
Opublikowane w: Physical Review Materials, Numer 4/3, 2020, ISSN 2475-9953
Wydawca: APS
DOI: 10.1103/physrevmaterials.4.034204

Determining surface phase diagrams including anharmonic effects

Autorzy: Yuanyuan Zhou, Matthias Scheffler, Luca M. Ghiringhelli
Opublikowane w: Physical Review B, Numer 100/17, 2019, ISSN 2469-9950
Wydawca: APS
DOI: 10.1103/physrevb.100.174106

Electron-phonon coupling in d -electron solids: A temperature-dependent study of rutile Ti O 2 by first-principles theory and two-photon photoemission

Autorzy: Honghui Shang, Adam Argondizzo, Shijing Tan, Jin Zhao, Patrick Rinke, Christian Carbogno, Matthias Scheffler, Hrvoje Petek
Opublikowane w: Physical Review Research, Numer 1/3, 2019, ISSN 2643-1564
Wydawca: APS
DOI: 10.1103/physrevresearch.1.033153

Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects

Autorzy: Andreas Alvermann, Achim Basermann, Hans-Joachim Bungartz, Christian Carbogno, Dominik Ernst, Holger Fehske, Yasunori Futamura, Martin Galgon, Georg Hager, Sarah Huber, Thomas Huckle, Akihiro Ida, Akira Imakura, Masatoshi Kawai, Simone Köcher, Moritz Kreutzer, Pavel Kus, Bruno Lang, Hermann Lederer, Valeriy Manin, Andreas Marek, Kengo Nakajima, Lydia Nemec, Karsten Reuter, Michael Rippl, Melven R
Opublikowane w: Japan Journal of Industrial and Applied Mathematics, Numer 36/2, 2019, Strona(/y) 699-717, ISSN 0916-7005
Wydawca: Kinokuniya Co., Ltd.
DOI: 10.1007/s13160-019-00360-8

Step-flow growth in homoepitaxy of β -Ga 2 O 3 (100)—The influence of the miscut direction and faceting

Autorzy: R. Schewski, K. Lion, A. Fiedler, C. Wouters, A. Popp, S. V. Levchenko, T. Schulz, M. Schmidbauer, S. Bin Anooz, R. Grüneberg, Z. Galazka, G. Wagner, K. Irmscher, M. Scheffler, C. Draxl, M. Albrecht
Opublikowane w: APL Materials, Numer 7/2, 2019, Strona(/y) 022515, ISSN 2166-532X
Wydawca: American Institute of Physics
DOI: 10.1063/1.5054943

Parametrically constrained geometry relaxations for high-throughput materials science

Autorzy: Maja-Olivia Lenz, Thomas A. R. Purcell, David Hicks, Stefano Curtarolo, Matthias Scheffler, Christian Carbogno
Opublikowane w: npj Computational Materials, Numer 5/1, 2019, ISSN 2057-3960
Wydawca: Elsevier
DOI: 10.1038/s41524-019-0254-4

The NOMAD laboratory: from data sharing to artificial intelligence

Autorzy: Claudia Draxl, Matthias Scheffler
Opublikowane w: Journal of Physics: Materials, Numer 2/3, 2019, Strona(/y) 036001, ISSN 2515-7639
Wydawca: IOP Publishing
DOI: 10.1088/2515-7639/ab13bb

Viewpoint: Atomic-Scale Design Protocols toward Energy, Electronic, Catalysis, and Sensing Applications

Autorzy: Florian Belviso, Victor E. P. Claerbout, Aleix Comas-Vives, Naresh S. Dalal, Feng-Ren Fan, Alessio Filippetti, Vincenzo Fiorentini, Lucas Foppa, Cesare Franchini, Benjamin Geisler, Luca M. Ghiringhelli, Axel Groß, Shunbo Hu, Jorge Íñiguez, Steven Kaai Kauwe, Janice L. Musfeldt, Paolo Nicolini, Rossitza Pentcheva, Tomas Polcar, Wei Ren, Fabio Ricci, Francesco Ricci, Huseyin Sener Sen, Jonathan M
Opublikowane w: Inorganic Chemistry, Numer 58/22, 2019, Strona(/y) 14939-14980, ISSN 0020-1669
Wydawca: American Chemical Society
DOI: 10.1021/acs.inorgchem.9b01785

AFLOW-CHULL: Cloud-Oriented Platform for Autonomous Phase Stability Analysis

Autorzy: Corey Oses, Eric Gossett, David Hicks, Frisco Rose, Michael J. Mehl, Eric Perim, Ichiro Takeuchi, Stefano Sanvito, Matthias Scheffler, Yoav Lederer, Ohad Levy, Cormac Toher, Stefano Curtarolo
Opublikowane w: Journal of Chemical Information and Modeling, Numer 58/12, 2018, Strona(/y) 2477-2490, ISSN 1549-9596
Wydawca: American Chemical Society
DOI: 10.1021/acs.jcim.8b00393

Insightful classification of crystal structures using deep learning

Autorzy: Angelo Ziletti, Devinder Kumar, Matthias Scheffler, Luca M. Ghiringhelli
Opublikowane w: Nature Communications, Numer 9/1, 2018, ISSN 2041-1723
Wydawca: Nature Publishing Group
DOI: 10.1038/s41467-018-05169-6

Optimizations of the eigensolvers in the ELPA library

Autorzy: P. Kůs, A. Marek, S.S. Köcher, H.-H. Kowalski, C. Carbogno, Ch. Scheurer, K. Reuter, M. Scheffler, H. Lederer
Opublikowane w: Parallel Computing, Numer 85, 2019, Strona(/y) 167-177, ISSN 0167-8191
Wydawca: Elsevier BV
DOI: 10.1016/j.parco.2019.04.003

Efficient all-electron hybrid density functionals for atomistic simulations beyond 10 000 atoms

Autorzy: Sebastian Kokott, Florian Merz, Yi Yao, Christian Carbogno, Mariana Rossi, Ville Havu, Markus Rampp, Matthias Scheffler, Volker Blum
Opublikowane w: The Journal of Chemical Physics, Numer 161, 2025, ISSN 0021-9606
Wydawca: American Institute of Physics
DOI: 10.1063/5.0208103

Roadmap on Machine learning in electronic structure

Autorzy: H J Kulik, T Hammerschmidt, J Schmidt, S Botti, M A L Marques, M Boley, M Scheffler, M Todorović, P Rinke, C Oses, A Smolyanyuk, S Curtarolo, A Tkatchenko, A P Bartók, S Manzhos, M Ihara, T Carrington, J Behler, O Isayev, M Veit, A Grisafi, J Nigam, M Ceriotti, K T Schütt, J Westermayr, M Gastegger, R J Maurer, B Kalita, K Burke, R Nagai, R Akashi, O Sugino, J Hermann, F Noé, S Pilati, C Draxl
Opublikowane w: Electronic Structure, Numer 4, 2023, Strona(/y) 023004, ISSN 2516-1075
Wydawca: IOP Publishing
DOI: 10.1088/2516-1075/ac572f

Anharmonicity in Thermal Insulators: An Analysis from First Principles

Autorzy: Florian Knoop, Thomas A. R. Purcell, Matthias Scheffler, Christian Carbogno
Opublikowane w: Physical Review Letters, Numer 130, 2025, ISSN 0031-9007
Wydawca: American Physical Society
DOI: 10.1103/physrevlett.130.236301

Roadmap on data-centric materials science

Autorzy: Stefan Bauer, Peter Benner, Tristan Bereau, Volker Blum, Mario Boley, Christian Carbogno, C Richard A Catlow, Gerhard Dehm, Sebastian Eibl, Ralph Ernstorfer, Ádám Fekete, Lucas Foppa, Peter Fratzl, Christoph Freysoldt, Baptiste Gault, Luca M Ghiringhelli, Sajal K Giri, Anton Gladyshev, Pawan Goyal, Jason Hattrick-Simpers, Lara Kabalan, Petr Karpov, Mohammad S Khorrami, Christoph T. Koch, Sebasti
Opublikowane w: Modelling and Simulation in Materials Science and Engineering, Numer 32, 2024, Strona(/y) 063301, ISSN 0965-0393
Wydawca: Institute of Physics Publishing
DOI: 10.1088/1361-651x/ad4d0d

Exploring the accuracy of the equation-of-motion coupled-cluster band gap of solids

Autorzy: Evgeny Moerman, Henrique Miranda, Alejandro Gallo, Andreas Irmler, Tobias Schäfer, Felix Hummel, Manuel Engel, Georg Kresse, Matthias Scheffler, Andreas Grüneis
Opublikowane w: Physical Review B, Numer 111, 2025, ISSN 2469-9950
Wydawca: American Physical Society (APS)
DOI: 10.1103/physrevb.111.l121202

Anharmonicity measure for materials

Autorzy: Florian Knoop, Thomas A. R. Purcell, Matthias Scheffler, Christian Carbogno
Opublikowane w: Physical Review Materials, Numer 4, 2020, ISSN 2475-9953
Wydawca: American Physical Society (APS)
DOI: 10.1103/physrevmaterials.4.083809

Atomate2: Modular workflows for materials science

Autorzy: Alex Ganose, Hrushikesh Sahasrabuddhe, Mark Asta, Kevin Beck, Tathagata Biswas, Alexander Bonkowski, Joana Bustamante, Xin Chen, Yuan Chiang, Daryl Chrzan, Jacob Clary, Orion Cohen, Christina Ertural, Max Gallant, Janine George, Sophie Gerits, Rhys Goodall, Rishabh Guha, Geoffroy Hautier, Matthew Horton, Aaron Kaplan, Ryan Kingsbury, Matthew Kuner, Bryant Li, Xavier Linn, Matthew McDermott, Rohith
Opublikowane w: 2025
Wydawca: American Chemical Society (ACS)
DOI: 10.26434/chemrxiv-2025-tcr5h

On the Uncertainty Estimates of Equivariant-Neural-Network-Ensembles Interatomic Potentials

Autorzy: Shuaihua Lu, Luca M. Ghiringhelli, Christian Carbogno, Jinlan Wang, Matthias Scheffler
Opublikowane w: 2023
Wydawca: IOP
DOI: 10.48550/arXiv.2309.00195

Materials-Discovery Workflows Guided by Symbolic Regression: Identifying Acid-Stable Oxides for Electrocatalysis

Autorzy: Akhil S. Nair, Lucas Foppa, Matthias Scheffler
Opublikowane w: 2024
Wydawca: Preprint
DOI: 10.48550/arxiv.2412.05947

Accelerating the training and improving the reliability of machine-learned interatomic potentials for strongly anharmonic materials through active learning

Autorzy: Kisung Kang, Thomas A. R. Purcell, Christian Carbogno, Matthias Scheffler
Opublikowane w: 2024
Wydawca: Preprint
DOI: 10.48550/arxiv.2409.11808

Roadmap on Advancements of the FHI-aims Software Package

Autorzy: Joseph W. Abbott, Carlos Mera Acosta, Alaa Akkoush, Sebastian Kokott, et al.
Opublikowane w: 2025
Wydawca: IOP
DOI: 10.48550/arxiv.2505.00125

A high-performance and portable implementation of the SISSO method for CPUs and GPUs

Autorzy: Sebastian Eibl, Yi Yao, Matthias Scheffler, Markus Rampp, Luca M. Ghiringhelli, Thomas A. R. Purcell
Opublikowane w: 2025
Wydawca: IOP
DOI: 10.48550/arxiv.2502.20072

Towards a Multi-Objective Optimization of Subgroups for the Discovery of Materials with Exceptional Performance

Autorzy: Lucas Foppa, Matthias Scheffler
Opublikowane w: 2023
Wydawca: Preprint
DOI: 10.48550/arxiv.2311.10381

ELPA: A Parallel Solver for the Generalized Eigenvalue Problem1

Autorzy: null Bungartz Hans-Joachim, null Carbogno Christian, null Galgon Martin, null Huckle Thomas, null Köcher Simone, null Kowalski Hagen-Henrik, null Kus Pavel, null Lang Bruno, null Lederer Hermann, null Manin Valeriy, null Marek Andreas, null Reuter Karsten, null Rippl Michael, null Scheffler Matthias, null Scheurer Christoph
Opublikowane w: Advances in Parallel Computing, Parallel Computing: Technology Trends, 2025
Wydawca: IOS Press
DOI: 10.3233/apc200095

Big Data-Driven Materials Science and Its FAIR Data Infrastructure

Autorzy: Claudia Draxl, Matthias Scheffler
Opublikowane w: Handbook of Materials Modeling - Methods: Theory and Modeling, 2020, Strona(/y) 49-73, ISBN 978-3-319-44676-9
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-44677-6_104

Wyszukiwanie danych OpenAIRE...

Publikacje

Udostępnij tę stronę Udostępnij tę stronę w mediach społecznościowych

Pobierz Pobierz zawartość strony