Publications of Matthias Scheffler

Journal Article (609)

1.
Journal Article
Mauß, J. M.; Kley, K. S.; Khobragade, R.; Tran, N. K.; De Bellis, J.; Schüth, F.; Scheffler, M.; Foppa, L.: Modeling Time-On-Stream Catalyst Reactivity in the Selective Hydrogenation of Concentrated Acetylene Streams under Industrial Conditions via Experiments and AI. ACS Catalysis 15, pp. 12652 - 12665 (2025)
2.
Journal Article
Ganose, A. M.; Sahasrabuddhe, H.; Asta, M.; Beck, K.; Biswas, T.; Bonkowski, A.; Bustamante, J.; Chen, X.; Chiang, Y.; Chrzan, D. C. et al.: Atomate2: modular workflows for materials science. Digital Discovery 2025 (7), pp. 1944 - 1973 (2025)
3.
Journal Article
Foppa, L.; Scheffler, M.: Coherent collections of rules describing exceptional materials identified with a multi-objective optimization of subgroups. Digital Discovery (2025)
4.
Journal Article
Kokott, S.; Blum, V.; Scheffler, M.: Efficient computation of the long-range exact exchange using an extended screening function. The Journal of Chemical Physics 162 (22), 224103 (2025)
5.
Journal Article
Kang, K.; Purcell, T.; Carbogno, C.; Scheffler, M.: Accelerating the training and improving the reliability of machine-learned interatomic potentials for strongly anharmonic materials through active learning. Physical Review Materials 9 (6), 063801 (2025)
6.
Journal Article
Sugathan Nair, A.; Foppa, L.; Scheffler, M.: Materials-discovery workflow guided by symbolic regression for identifying acid-stable oxides for electrocatalysis. npj Computational Materials 11, 150 (2025)
7.
Journal Article
Moerman, E.; Miranda, H.; Gallo, A.; Irmler, A.; Schäfer, T.; Hummel, F.; Engel, M.; Kresse, G.; Scheffler, M.; Grüneis, A.: Exploring the accuracy of the equation-of-motion coupled-cluster band gap of solids. Physical Review B 111 (12), L121202 (2025)
8.
Journal Article
Moerman, E.; Gallo, A.; Irmler, A.; Schäfer, T.; Hummel, F.; Grüneis, A.; Scheffler, M.: Finite-Size Effects in Periodic EOM-CCSD for Ionization Energies and Electron Affinities: Convergence Rate and Extrapolation to the Thermodynamic Limit. Journal of Chemical Theory and Computation 21 (4), pp. 1865 - 1878 (2025)
9.
Journal Article
Bellini, G.; Koch, G.; Girgsdies, F.; Dong, J.; Carey, S.; Timpe, O.; Auffermann, G.; Scheffler, M.; Schlögl, R.; Foppa, L. et al.: CO Oxidation Catalyzed by Perovskites: The Role of Crystallographic Distortions Highlighted by Systematic Experiments and Artificial Intelligence. Angewandte Chemie International Edition 64 (6), e202417812 (2025)
10.
Journal Article
Speckhard, D.; Carbogno, C.; Ghiringhelli, L. M.; Lubeck, S.; Scheffler, M.; Draxl, C.: Extrapolation to the complete basis-set limit in density-functional theory using statistical learning. Physical Review Materials 9 (1), 013801 (2025)
11.
Journal Article
Miyazaki, R.; Faraji, S.; Levchenko, S. V.; Foppa, L.; Scheffler, M.: Vibrational frequencies utilized for the assessment of exchange-correlation functionals in the description of metal-adsorbate systems: C2H2 and C2H4 on transition-metal surfaces. Catalysis Science & Technology 14 (23), pp. 6924 - 6933 (2024)
12.
Journal Article
Quan, J.; Carbogno, C.; Scheffler, M.: Carrier Mobility of Strongly Anharmonic Materials from First Principles. Physical Review B 110 (23), 235202 (2024)
13.
Journal Article
Bauer, S.; Benner, P.; Bereau, T.; Blum, V.; Boley, M.; Carbogno, C.; Catlow, C. R. A.; Dehm, G.; Eibl, S.; Ernstorfer, R. et al.: Roadmap on data-centric materials science. Modelling and Simulation in Materials Science and Engineering 32 (6), 063301 (2024)
14.
Journal Article
Kokott, S.; Merz, F.; Yao, Y.; Carbogno, C.; Rossi, M.; Havu, V.; Rampp, M.; Scheffler, M.; Blum, V.: Efficient all-electron hybrid density functionals for atomistic simulations beyond 10 000 atoms. The Journal of Chemical Physics 161 (2), 024112 (2024)
15.
Journal Article
Scheffler, M.: AI guided workflows for efficiently screening the materials space. Coshare Science (2), cs.202403.129 (2024)
16.
Journal Article
Miyazaki, R.; Belthle, K. S.; Tüysüz, H.; Foppa, L.; Scheffler, M.: Materials Genes of CO2 Hydrogenation on Supported Cobalt Catalysts: An Artificial Intelligence Approach Integrating Theoretical and Experimental Data. Journal of the American Chemical Society 146 (8), pp. 5433 - 5444 (2024)
17.
Journal Article
Bi, S.; Carbogno, C.; Zhang, I. Y.; Scheffler, M.: Self-interaction corrected SCAN functional for molecules and solids in the numeric atom-center orbital framework. The Journal of Chemical Physics 160 (3), 034106 (2024)
18.
Journal Article
Dean, J.; Scheffler, M.; Purcell, T.; Barabash, S. V.; Bhowmik, R.; Bazhirov, T.: Interpretable Machine Learning for Materials Design. Journal of Materials Research 38 (20), pp. 4477 - 4496 (2023)
19.
Journal Article
Purcell, T.; Scheffler, M.; Ghiringhelli, L. M.: Recent advances in the SISSO method and their implementation in the SISSO++ Code. The Journal of Chemical Physics 159 (11), 114110 (2023)
20.
Journal Article
Gavini, V.; Baroni, S.; Blum, V.; Bowler, D. R.; Buccheri, A.; Chelikowsky, J. R.; Das, S.; Dawson, W.; Delugas, P.; Dogan, M. et al.: Roadmap on electronic structure codes in the exascale era. Modelling and Simulation in Materials Science and Engineering 31 (6), 063301 (2023)
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