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Working Paper (48)
2024
Working Paper
Foppa, Lucas and Matthias Scheffler: Coherent Collections of Rules Describing Exceptional Materials Identified with a Multi-Objective Optimization of Subgroups.
Working Paper
Detre Teschner, Juan Velasco Vélez, Daniel Cruz, Raoul Blume, Robert Schlögl, Beatriz Roldan Cuenya and Axel Knop-Gericke: , , , , , , , , , Increased Catalytic Activity of the Sabatier Reaction for Space Applications.
Working Paper
Lee, Ju Hyeon, Elahe Abdiha, Boris G. Sartakov, Gerard Meijer and Sandra Eibenberger: Full quantum state control of chiral molecules.
Working Paper
Moerman, Evgeny and Matthias Scheffler: Coupled-Cluster Theory for the Ground State and for Excitations.
Working Paper
Patrick Zeller: , , , , , , , , and Electrode-electrolyte interactions on oxide surfaces: the crucial role of surface redox chemistry.
Working Paper
Quan, J., Min-Ye Zhang, Matthias Scheffler and Christian Carbogno: Temperature-Dependent Electronic Spectral Functions From Band-Structure Unfolding.
Working Paper
Shiotari, Akitoshi, , , , Martin Wolf, and Melanie Müller: Picocavity-enhanced near-field optical microscopy with 1 nm resolution.
Working Paper
Markus Heyde, Hans-Joachim Freund, , and : , , , Observation of the Boson Peak in a 2D Material.
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Garlef Wartner, , , Ali Ghafari, , , , , , , , , Axel Knop-Gericke, , , and : , , , , Ni-Co-O anodes for the alkaline oxygen evolution reaction: Multistage electrode optimization and plasma-assisted activity enhancement enabled by a coherent workflow.
2023
Working Paper
Akkoush, Alaa, and Mariana Rossi: A Hybrid-DFT Study of Intrinsic Point Defects in MX2 (M=Mo, W; X=S, Se) Monolayers.
Working Paper
Lucas Foppa and Matthias Scheffler: , , , , From Prediction to Action: The Critical Role of Proper Performance Estimation for Machine-Learning-Driven Materials Discovery.
Working Paper
Foppa, Lucas and Matthias Scheffler: Towards a Multi-Objective Optimization of Subgroups for the Discovery of Materials with Exceptional Performance.
Working Paper
Luca M. Ghiringhelli, Christian Carbogno, and Matthias Scheffler: , On the Uncertainty Estimates of Equivariant-Neural-Network-Ensembles Interatomic Potentials.
Working Paper
Ralph Ernstorfer, , , , , , , , , , , , , , and : , , , , , , , , , , , , Attosecond dynamics of photoemission over a wide photon energy range.
Working Paper
Speckhard, Daniel, Christian Carbogno, Luca M. Ghiringhelli, , Matthias Scheffler and : Extrapolation to complete basis-set limit in density-functional theory by quantile random-forest models.
2022
Working Paper
Landini, Elisabeth, Karsten Reuter and : Machine-learning Based Screening of Lead-free Halide Double Perovskites for Photovoltaic Applications.
Working Paper
T. Kleinke, , , , , , , , , , , J. Walowski, and : , Circular photogalvanic effects in topological insulator/ferromagnet hybrid structures.
Working Paper
Boubacar Tanda Bonkano, , and : , , , , , Sulfur- and boron-containing porous donor-acceptor polymers for photocatalytic hydrogen evolution.
2021
Working Paper
Matthias Scheffler: and Learning Rules for Materials Properties and Functions.
Working Paper
Ghiringhelli, Luca M.: Interpretability of machine-learning models in physical sciences.