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Papers matching “learning needs” 19

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Towards generalized machine learning models for dislocation image analysis: a parametric based synthetic data approach
2025 JuSER (Forschungszentrum Jülich) dissertation Materials Science Machine Learning in Materials Science Open access

Kishan Govind

0

citations
Graph machine learning for design of high‐octane fuels
2022 AIChE Journal article Materials Science Machine Learning in Materials Science Open access

Jan G. Rittig, Martin Ritzert, Artur M. Schweidtmann, Jana M. Weber, Philipp Morsch, Karl Alexander Heufer, +3 more

36

citations
Discovery of liquid crystalline polymers with high thermal conductivity using machine learning
2025 npj Computational Materials article Materials Science Machine Learning in Materials Science Open access

Hayato Maeda, Stephen Wu, Rika Marui, Erina Yoshida, Kan Hatakeyama‐Sato, Yuta Nabae, +13 more

16

citations
Simulating H$$^+$$, O$$^{2-}$$ and Sr$$^{2+}$$ transport in SrTiO$$_3$$ with a machine-learning potential
2025 Journal of Materials Science Materials in Energy article Materials Science Machine Learning in Materials Science Open access

Caitlin Perkampus, Stefan N. Adams, Roger A. De Souza

1

citations
Graph Machine Learning for Design of High-Octane Fuels
2022 RWTH Publications (RWTH Aachen) preprint Materials Science Machine Learning in Materials Science Open access

Jan G. Rittig, Martin Ritzert, Artur M. Schweidtmann, Jana M. Weber, Philipp Morsch, K. Alexander Heufer, +3 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
Generating Input Data for Microstructure Modelling: A Deep Learning Approach Using Generative Adversarial Networks
2020 Materials article Materials Science Machine Learning in Materials Science Open access

Felix Pütz, Manuel Henrich, Niklas C. Fehlemann, Sebastian Münstermann

26

citations
Generating Input Data for Microstructure Modelling: A Deep Learning Approach Using Generative Adversarial Networks
2020 Preprints.org preprint Materials Science Machine Learning in Materials Science Open access

Felix Pütz, Manuel Henrich, Niklas C. Fehlemann, Sebastian Münstermann

7

citations
Machine Learning Enhanced Dynamic Response Modelling of Superelastic Shape Memory Alloy Wires
2022 Materials article Materials Science Shape Memory Alloy Transformations Open access

Niklas Lenzen, Okyay Altay

27

citations
Graph Neural Networks for Prediction of Fuel Ignition Quality
2020 Energy & Fuels article Materials Science Machine Learning in Materials Science

Artur M. Schweidtmann, Jan G. Rittig, Andrea Anna König, Martin Grohe, Alexander Mitsos, Manuel Dahmen

142

citations
Graph Neural Networks for Prediction of Fuel Ignition Quality
2020 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Artur M. Schweidtmann, Jan G. Rittig, Andrea Anna König, Martin Grohe, Alexander Mitsos, Manuel Dahmen

1

citations
A data-driven strategy for phase field nucleation modeling
2024 npj Materials Degradation article Materials Science Machine Learning in Materials Science Open access

Yang Hu, Kai Wang, Robert Spatschek

6

citations
Enhancing Predictive Accuracy Under Data Scarcity: Modeling Molecular Interactions to Describe Sealing Material Compatibility with Bio-Hybrid Fuels
2025 Physchem article Materials Science Machine Learning in Materials Science Open access

Lukas Boden, Faras Brumand‐Poor, Linda Pleninger, Katharina Schmitz

0

citations
Fundamentals to Prospects: Synthetic Tuning of Covalent Organic Frameworks for Solid‐State Hydrogen Storage
2026 Advanced Materials article Materials Science Covalent Organic Framework Applications Open access

Mengshan Chen, Tengyu Chen, Xueya Zhu, Yue Hu, Wulyu Jiang, Kaiwen Wang, +7 more

1

citations
DeepEOSNet: Capturing the dependency on thermodynamic state in property prediction tasks
2026 Computers & Chemical Engineering article Materials Science Machine Learning in Materials Science Open access

Jan Pavšek, Alexander Mitsos, Manuel Dahmen, Jan G. Rittig

0

citations
Empowering Reactivity Predictions through Noise-Based Data Augmentation
2025 Journal of the American Chemical Society article Materials Science Machine Learning in Materials Science

Julian A. Hueffel, Quentin P. Bindschaedler, Francesco Sala, Franziska Schoenebeck

15

citations
Convolutional neural networks for additively manufactured hot work steel H11: classification and prediction of mechanical properties
2025 The International Journal of Advanced Manufacturing Technology article Materials Science Machine Learning in Materials Science Open access

Iris Raffeis, Michael Rom, Frank Adjei-Kyeremeh, Andreas Bührig–Polaczek

4

citations
Model-Based Prediction of the Tensile Properties of Polypropylene Films Made from Recycled Materials
2025 Polymers article Materials Science Machine Learning in Materials Science Open access

Marius Stieglitz, Sonja Adomeit, Karina Hettwer, Anja Schlierf, Steffen Uhlig, Sarah David, +1 more

3

citations
Physics-informed deep operator network for predicting martensite evolution in superelastic shape memory alloys through cyclic tensile tests
2024 Smart Materials and Structures article Materials Science Shape Memory Alloy Transformations Open access

Niklas Lenzen, Okyay Altay

7

citations

19 results