From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “training data generation” 30

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling
2021 Crystals article Materials Science Machine Learning in Materials Science Open access cited by 3 patents

Patrick Trampert, Dmitri Rubinstein, Faysal Boughorbel, Christian Schlinkmann, Maria Luschkova, Philipp Slusallek, +2 more

40

citations
Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling
2021 article Materials Science Machine Learning in Materials Science Open access

Patrick Trampert, Dmitri Rubinstein, Faysal Boughorbel, Christian Schlinkmann, Maria Luschkova, Philipp Slusallek, +2 more

0

citations
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
The Development of New Perovskite-Type Oxygen Transport Membranes Using Machine Learning
2022 Crystals article Materials Science Advancements in Solid Oxide Fuel Cells Open access

Hartmut Schlenz, Stefan Baumann, Wilhelm Albert Meulenberg, Olivier Guillon

10

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
Automated Generation of Mechanistic Models for Chemical Process Digital Twins using Reinforcement Learning - Part II: Compartmentalization and Learning-Based Recalibration
2025 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Jan-Frederic Laub, Jiyizhe Zhang, Mathis Heyer, Alexei A. Lapkin

1

citations
Automated Generation of Mechanistic Models for Chemical Process Digital Twins using Reinforcement Learning - Part II: Compartmentalization and Learning-Based Recalibration
2025 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Jan-Frederic Laub, Jiyizhe Zhang, Mathis Heyer, Alexei A. Lapkin

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
Machine Learning-based estimation and explainable artificial intelligence-supported interpretation of the critical temperature from magnetic ab initio Heusler alloys data
2025 Physical Review Materials article Materials Science Machine Learning in Materials Science Open access

Robin Hilgers, Daniel Wortmann, Stefan Blügel

9

citations
Machine Learning-based estimation and explainable artificial intelligence-supported interpretation of the critical temperature from magnetic ab initio Heusler alloys data
2023 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access

Robin Hilgers, Daniel Wortmann, Stefan Blügel

4

citations
An automated approach for developing neural network interatomic potentials with FLAME
2021 Computational Materials Science article Materials Science Machine Learning in Materials Science Open access

Hossein Mirhosseini, Hossein Tahmasbi, Sai Ram Kuchana, S. Alireza Ghasemi, Thomas D. Kühne

12

citations
Sparse Electrochemical Impedance Spectroscopy Measurements during Solid Oxide Cell Stack Operation Based on Power Supply
2025 ECS Meeting Abstracts conference-abstract Materials Science Advancements in Solid Oxide Fuel Cells

Christian Mänken, Dominik Schäfer, Remzi Can Samsun, Rüdiger‐A. Eichel

0

citations
Wisdom of Crowds for Supporting the Safety Evaluation of Nanomaterials
2025 Environmental Science & Technology article Materials Science Nanoparticles: synthesis and applications Open access

Laura Aliisa Saarimäki, Michele Fratello, Giusy del Giudice, Emanuele Di Lieto, Antreas Afantitis, Harri Tapio Alenius, +21 more

3

citations
Datasets for manuscript "Exploring Chemistry and Catalysis by Biasing Skewed Distributions via Deep Learning"
2025 Zenodo (CERN European Organization for Nuclear Research) dataset Materials Science Machine Learning in Materials Science Open access

Zhikun Zhang

1

citations
Datasets for manuscript "Exploring Chemistry and Catalysis by Biasing Skewed Distributions via Deep Learning"
2025 Zenodo (CERN European Organization for Nuclear Research) dataset Materials Science Machine Learning in Materials Science Open access

Zhikun Zhang

1

citations
Design and Experimental Investigation of Temperature Control for a 10 kW SOFC System Based on an Artificial Neuronal Network
2023 ECS Meeting Abstracts conference-abstract Materials Science Advancements in Solid Oxide Fuel Cells

Nicolas Kruse, Wilfried Tiedemann, Ingo Hoven, Robert Deja, Roland Peters, Felix Kunz, +1 more

0

citations
Influence of synthetically generated inclusions on the stress accumulation and concentration in X65 pipeline steel
2021 IOP Conference Series Materials Science and Engineering conference-paper Materials Science Machine Learning in Materials Science Open access

Niklas C. Fehlemann, Yannik Sparrer, Felix Pütz, Markus Könemann, Sebastian Münstermann

11

citations
Design and Experimental Investigation of Temperature Control for a 10 kW SOFC System Based on an Artificial Neuronal Network
2023 ECS Transactions conference-paper Materials Science Advancements in Solid Oxide Fuel Cells

Nicolas Kruse, Wilfried Tiedemann, Ingo Hoven, Robert Deja, Roland Peters, Felix Kunz, +1 more

3

citations
Neural Network Parameter Identification Based Constitutive Modeling of Superelastic Shape Memory Alloys
2021 PAMM article Materials Science Shape Memory Alloy Transformations Open access cited by 1 patent

Andreas Kaup, Niklas Lenzen, Okyay Altay

4

citations
Learning Self-Supervised Representations of Powder-Diffraction Patterns
2025 Crystals article Materials Science Machine Learning in Materials Science Open access

Shubhayu Das, Markus Vorholt, Andreas Houben, Richard Dronskowski

3

citations
Feedforward neural network-assisted parameter identification and tuning for uniaxial superelastic shape memory alloy models under dynamic loads
2024 Journal of Vibration and Control article Materials Science Shape Memory Alloy Transformations Open access

Niklas Lenzen, Okyay Altay

5

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
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
Machine learning-driven QSAR models for predicting the mixture toxicity of nanoparticles
2023 Environment International article Materials Science Nanoparticles: synthesis and applications Open access

Fan Zhang, Zhuang Wang, Willie J.G.M. Peijnenburg, Martina G. Vijver

88

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