Stefan Sandfeld

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 18

Top Topics

Electron Microscopy

Domain Ontology

Top Venues

DAMDID/RCDL (Supplementary Proceedings)

Mach. Learn. Sci. Technol.

Publications

Bashir Kazimi, Karina Ruzaeva, Stefan Sandfeld
Self-Supervised Learning in Electron Microscopy: Towards a Foundation Model for Advanced Image Analysis. CoRR (2024)
Ahmad Zainul Ihsan, Said Fathalla, Stefan Sandfeld
DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials. CoRR (2024)
Binh Duong Nguyen, Johannes Steiner, Peter Wellmann, Stefan Sandfeld
Combining unsupervised and supervised learning in microscopy enables defect analysis of a full 4H-SiC wafer. CoRR (2024)
Kishan Govind, Daniela Oliveros, Antonin Dlouhy, Marc Legros, Stefan Sandfeld
Deep learning of crystalline defects from TEM images: a solution for the problem of 'never enough training data'. Mach. Learn. Sci. Technol. 5 (1) (2024)
Sébastien Bompas, Stefan Sandfeld
A Generative Model for Accelerated Inverse Modelling Using a Novel Embedding for Continuous Variables. CoRR (2023)
Ahmad Zainul Ihsan, Said Fathalla, Stefan Sandfeld
Modeling Dislocation Dynamics Data Using Semantic Web Technologies. CoRR (2023)
Lukas Morand, Tarek Iraki, Johannes Dornheim, Stefan Sandfeld, Norbert Link, Dirk Helm
Machine learning for structure-guided materials and process design. CoRR (2023)
Kishan Govind, Daniela Oliveros, Antonin Dlouhy, Marc Legros, Stefan Sandfeld
Deep Learning of Crystalline Defects from TEM images: A Solution for the Problem of "Never Enough Training Data". CoRR (2023)
Ahmad Zainul Ihsan, Said Fathalla, Stefan Sandfeld
DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials. SAC (2023)
Karina Ruzaeva, Kishan Govind, Marc Legros, Stefan Sandfeld
Instance Segmentation of Dislocations in TEM Images. CoRR (2023)
Binh Duong Nguyen, Pavlo Potapenko, Aytekin Dermici, Kishan Govind, Stefan Sandfeld
Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties. CoRR (2023)
Chen Zhang, Clémence Bos, Stefan Sandfeld, Ruth Schwaiger
Unsupervised Learning of Nanoindentation Data to Infer Microstructural Details of Complex Materials. CoRR (2023)
Harald Sack, Torsten Schrade, Oleksandra Bruns, Etienne Posthumus, Tabea Tietz, Ebrahim Norouzi, Jörg Waitelonis, Heike Fliegl, Linnaea Charlotte Söhn, Julia Tolksdorf, Jonatan Jalle Steller, Abril Azócar Guzmán, Said Fathalla, Ahmad Zainul Ihsan, Volker Hofmann, Stefan Sandfeld, Felix Fritzen, Amir Laadhar, Sonja Schimmler, Peter Mutschke
Knowledge Graph Based RDM Solutions NFDI4Culture - NFDI-MatWerk - NFDI4DataScience. CoRDI (2023)
Aruna Prakash, Stefan Sandfeld
Automated analysis of continuum fields from atomistic simulations using statistical machine learning. CoRR (2022)
M. Vimal, Stefan Sandfeld, A. Prakash
Grain segmentation in atomistic simulations using orientation-based iterative self-organizing data analysis. CoRR (2021)
Reetu Joseph, Aditya Chauhan, Catriona Eschke, Ahmad Zainul Ihsan, Mehrdad Jalali, Ute Jäntsch, Nicole Jung, C. N. Shyam Kumar, Christian Kubel, Christian Lucas, Matthias Mail, Andrey Mazilkin, Charlotte Neidiger, Mirco Panighel, Stefan Sandfeld, Rainer Stotzka, Richard Thelen, Rossella Aversa
Metadata Schema to support FAIR Data in Scanning Electron Microscopy. DAMDID/RCDL (Supplementary Proceedings) (2021)
Prince Henry Serrao, Stefan Sandfeld, Aruna Prakash
OptiMic: A tool to generate optimized polycrystalline microstructures for materials simulations. SoftwareX 15 (2021)
Prince Henry Serrao, Stefan Sandfeld, Aruna Prakash
OptiMic: A tool to generate optimized polycrystalline microstructures for materials simulations. CoRR (2021)