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Papers matching “data mapping” 38

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KNOWLEDGE GRAPH CONSTRUCTION FROM MATERIALS SCIENCE LITERATURE USING LARGE LANGUAGE MODELS AND ADVANCED DATA PREPROCESSING
2026 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Nasrin Mohammadi, Max Dreger, Diego Collarana, Mohammad J. Eslamibidgoli, Kourosh Malek, Michael Hermann Eikerling

1

citations
Putting High-Index Cu on the Map for High-Yield, Dry-Transferred CVD Graphene
2023 ACS Nano article Materials Science Graphene research and applications Open access cited by 2 patents

Oliver J. Burton, Zachary Winter, Kenji Watanabe, Takashi Taniguchi, Bernd Beschoten, Christoph Stampfer, +1 more

22

citations
kMap.py: A Python program for simulation and data analysis in photoemission tomography
2021 Computer Physics Communications article Materials Science Electron and X-Ray Spectroscopy Techniques Open access

Dominik Brandstetter, Xiaosheng Yang, Daniel Lüftner, Frank Stefan Tautz, Peter Puschnig

1

citations
Filling the Gaps: Machine Learning Prediction of Sparse Mineral Phase Data
2026 conference-abstract Materials Science Electron and X-Ray Spectroscopy Techniques Open access

Julia Schmitz, Joyce Schmatz, Mingze Jiang, Eva Wellmann, Mara Weiler, Friedrich Hawemann, +1 more

0

citations
Deep-learning map segmentation for protein X-ray crystallographic structure determination
2024 Acta Crystallographica Section D Structural Biology article Materials Science Enzyme Structure and Function Open access

Pavol Skubák

0

citations
A Machine Learning Enabled Image‐data‐driven End‐to‐end Mechanical Field Predictor For Dual‐Phase Steel
2023 PAMM article Materials Science Machine Learning in Materials Science Open access

Binbin Lin, Setareh Medghalchi, Sandra Korte‐Kerzel, Bai‐Xiang Xu

10

citations
kMap.py: A Python program for simulation and data analysis in photoemission tomography
2020 arXiv (Cornell University) preprint Materials Science Electron and X-Ray Spectroscopy Techniques Open access

Dominik Brandstetter, Xiaosheng Yang, Daniel Lüftner, Frank Stefan Tautz, Peter Puschnig

23

citations
Workflow for high‐resolution phase segmentation of cement clinker from combined BSE image and EDX spectral data
2021 Journal of Microscopy article Materials Science Electron and X-Ray Spectroscopy Techniques Open access

Mingze Jiang, Christiane Rößler, Eva Wellmann, Jop Klaver, Florian Kleiner, Joyce Schmatz

10

citations
Accelerated composition optimization of hybrid perovskites via data-driven materials design, DFT calculations and synthesis
2025 Materials & Design article Materials Science Machine Learning in Materials Science Open access

Nane Petrosyan, Gurgen Kolotyan, Arpine Kozmanyan, Hayk Zakaryan, Michael Josef Schöning, A. V. Asatryan, +1 more

4

citations
A Brief Overview of Texture and Anisotropy
2021 IOP Conference Series Materials Science and Engineering conference-paper Materials Science Microstructure and mechanical properties Open access

Anthony D. Rollett, Günter Gottstein

3

citations
Machine learning for hydrogen technologies: A comprehensive review of challenges, opportunities, and emerging trends
2025 International Journal of Hydrogen Energy article Materials Science Machine Learning in Materials Science Open access

Robin van der Laag, Thomas Bäck, Yingjie Fan

22

citations
LEEM and the magic of twisted bilayer graphene
2021 Zenodo (CERN European Organization for Nuclear Research) conference-abstract Materials Science Graphene research and applications Open access

Tobias A. de Jong, Tjerk Benschop, Milan P. Allan, Sense Jan van der Molen

29

citations
Framework for a Digital Twin System in Corrosion Prediction
2026 Digital twins and applications. article Materials Science Corrosion Behavior and Inhibition Open access

Marcel Gollé‐Leidreiter, Pascal Reinhold, Konstantin Kapfer, Andreas Mittelbach, Julia Kowalski

0

citations
EDS and WDS Analysis of Ni-Si Samples at Low Acceleration Voltages
2023 Microscopy and Microanalysis article Materials Science Electron and X-Ray Spectroscopy Techniques Open access

Ralf Terborg, Silvia Richter

1

citations
A multitask latent space learning framework for modeling and inversion of structure–property relationships
2026 RWTH Publications (RWTH Aachen) dissertation Materials Science Machine Learning in Materials Science Open access

Tarek Iraki

0

citations
Autonomous Image Analysis to Accelerate the Discovery and Integration of Energy Materials
2026 JuSER (Forschungszentrum Jülich) dissertation Materials Science Machine Learning in Materials Science Open access

André Colliard-Granero

0

citations
Experimental and Numerical Dataset on the Bauschinger Effect in Polycrystalline Austenitic Steel 316L
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Materials Science Microstructure and mechanical properties Open access

René Zandomeni, Thomas Seifert, Wenting Zhao, Nima Babaei, Ulrich Krupp

0

citations
Experimental and Numerical Dataset on the Bauschinger Effect in Polycrystalline Austenitic Steel 316L
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Materials Science Microstructure and mechanical properties Open access

René Zandomeni, Thomas Seifert, Wenting Zhao, Nima Babaei, Ulrich Krupp

0

citations
Flat Γ Moiré Bands in Twisted Bilayer WSe 2
2023 Physical Review Letters article Materials Science 2D Materials and Applications Open access

G. Gatti, J. Issing, Louk Rademaker, Florian Margot, Tobias A. de Jong, Sense Jan van der Molen, +13 more

46

citations
Reduced-order structure-property linkages for stochastic metamaterials
2025 Physical Review Materials article Materials Science Machine Learning in Materials Science Open access

Hooman Danesh, Maruthi Annamaraju, Tim Brepols, Stefanie Reese, Surya R. Kalidindi

0

citations
Structural and Magnetic Properties of Co0.5Ni0.5Ga0.01Gd0.01Fe1.98O4/ZnFe2O4 Spinel Ferrite Nanocomposites: Comparative Study between Sol-Gel and Pulsed Laser Ablation in Liquid Approaches
2021 Nanomaterials article Materials Science Magnetic Properties and Synthesis of Ferrites Open access

Munirah Abdullah Almessiere, Sadik Güner, Y. Slimani, Muhammad Hassan, Abdulhadi BAYKAL, M.A. Gondal, +2 more

81

citations
Exploring Chemistry and Catalysis by Biasing Skewed Distributions via Deep Learning
2025 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Zhikun Zhang, GiovanniMaria Piccini

1

citations
Linking three-dimensional microstructure and nanoindentation hardness using machine learning
2026 Communications Materials article Materials Science Machine Learning in Materials Science Open access

R. Chen, Steffen Brinckmann, Weiguang Yang, Ruth Schwaiger

0

citations
Exploring Chemistry and Catalysis by Biasing Skewed Distributions via Deep Learning
2025 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Zhikun Zhang, GiovanniMaria Piccini

0

citations
Exploring Chemistry and Catalysis by Biasing Skewed Distributions via Deep Learning
2025 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Zhikun Zhang, GiovanniMaria Piccini

0

citations