Stefan Sandfeld

According to our database, Stefan Sandfeld authored at least 18 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep learning of crystalline defects from TEM images: a solution for the problem of 'never enough training data'.

Kishan Govind, Daniela Oliveros, Antonin Dlouhy, Marc Legros, Stefan Sandfeld

Mach. Learn. Sci. Technol., March, 2024

Self-Supervised Learning in Electron Microscopy: Towards a Foundation Model for Advanced Image Analysis.

Bashir Kazimi, Karina Ruzaeva, Stefan Sandfeld

CoRR, 2024

Combining unsupervised and supervised learning in microscopy enables defect analysis of a full 4H-SiC wafer.

Binh Duong Nguyen, Johannes Steiner, Peter Wellmann, Stefan Sandfeld

CoRR, 2024

The Helmholtz Digitization Ontology: Representing Digital Assets in the Helmholtz Digital Ecosystem.

Said Fathalla, Gerrit Günther, Leon Steinmeier, Christine Lemster, Dorothee Kottmeier, Lakxmi Sivapatham, Pier Luigi Buttigieg, Volker Hofmann, Stefan Sandfeld

Proceedings of the Joint Proceedings of Posters, 2024

The Helmholtz Knowledge Graph: Driving the Transition Towards a FAIR Data Ecosystem in the Helmholtz Association.

Jens Bröder, Gabriel Preuß, Fiona D'Mello, Said Fathalla, Volker Hofmann, Stefan Sandfeld

Proceedings of the Semantic Web: ESWC 2024 Satellite Events, 2024

Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopy.

Bashir Kazimi, Karina Ruzaeva, Stefan Sandfeld

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Machine learning for structure-guided materials and process design.

Lukas Morand, Tarek Iraki, Johannes Dornheim, Stefan Sandfeld, Norbert Link, Dirk Helm

CoRR, 2023

A Generative Model for Accelerated Inverse Modelling Using a Novel Embedding for Continuous Variables.

Sébastien Bompas, Stefan Sandfeld

CoRR, 2023

Modeling Dislocation Dynamics Data Using Semantic Web Technologies.

Ahmad Zainul Ihsan, Said Fathalla, Stefan Sandfeld

CoRR, 2023

Unsupervised Learning of Nanoindentation Data to Infer Microstructural Details of Complex Materials.

Chen Zhang, Clémence Bos, Stefan Sandfeld, Ruth Schwaiger

CoRR, 2023

Instance Segmentation of Dislocations in TEM Images.

Karina Ruzaeva, Kishan Govind, Marc Legros, Stefan Sandfeld

CoRR, 2023

Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties.

Binh Duong Nguyen, Pavlo Potapenko, Aytekin Dermici, Kishan Govind, Stefan Sandfeld

CoRR, 2023

DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials.

Ahmad Zainul Ihsan, Said Fathalla, Stefan Sandfeld

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Knowledge Graph Based RDM Solutions NFDI4Culture - NFDI-MatWerk - NFDI4DataScience.

Harald Sack, Torsten Schrade, Oleksandra Bruns, Etienne Posthumus, Tabea Tietz, Ebrahim Norouzi, Jörg Waitelonis, Heike Fliegl, Linnaea 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

Proceedings of the 1st Conference on Research Data Infrastructure - Connecting Communities, 2023

2022

Automated analysis of continuum fields from atomistic simulations using statistical machine learning.

Aruna Prakash, Stefan Sandfeld

CoRR, 2022

2021

OptiMic: A tool to generate optimized polycrystalline microstructures for materials simulations.

Prince Henry Serrao, Stefan Sandfeld, Aruna Prakash

SoftwareX, 2021

Grain segmentation in atomistic simulations using orientation-based iterative self-organizing data analysis.

M. Vimal, Stefan Sandfeld, A. Prakash

CoRR, 2021

Metadata Schema to support FAIR Data in Scanning Electron Microscopy.

Reetu Joseph, Aditya Chauhan, Catriona Eschke, Ahmad Zainul Ihsan, Mehrdad Jalali, Ute Jäntsch, Nicole Jung, C. N. Shyam Kumar, Christian Kübel, Christian Lucas, Matthias Mail, Andrey Mazilkin, Charlotte Neidiger, Mirco Panighel, Stefan Sandfeld, Rainer Stotzka, Richard Thelen, Rossella Aversa

Proceedings of the Supplementary Proceedings of the XXIII International Conference on Data Analytics and Management in Data Intensive Domains, 2021