Stefan Sandfeld

28 papers Misc 1Journal 21Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Ontology-aligned structuring and reuse of multimodal materials data and workflows towards automatic reproduction. CoRR Sepideh Baghaee Ravari, Abril Azócar Guzmán, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker
2026	J	`jnl`	Out-of-distribution generalization of deep-learning surrogates for 2D PDE-generated dynamics in the small-data regime. CoRR Binh Duong Nguyen, Stefan Sandfeld
2026	J	`jnl`	Towards knowledge-based workflows: a semantic approach to atomistic simulations for mechanical and thermodynamic properties. CoRR Abril Azócar Guzmán, Hoang-Thien Luu, Sarath Menon, Tilmann Hickel, Nina Merkert, Stefan Sandfeld
2026	J	`jnl`	tools4RDF: A Python toolkit for working with RDF data. J. Open Source Softw. Sarath Menon, Abril Azócar Guzmán, Osamu Waseda, Stefan Sandfeld, Tilmann Hickel
2025	—	`conf`	Bringing FAIR Digital Objects to the Semantic Web: A Foundational Framework. ESWC (Satellite Events) Said Fathalla, Volker Hofmann, Thomas Jejkal, Stefan Sandfeld
2025	J	`jnl`	Digital Transformation in Materials Science: A User Journey of Nanoindentation, Image Analysis and Simulations. Data Sci. J. Hanna Tsybenko, Sarath Menon, Fei Chen, Abril Azócar Guzmán, Katharina Grünwald, Steffen Brinckmann, Tilmann Hickel, Tim Dahmen, Volker Hofmann, Stefan Sandfeld, Ruth Schwaiger
2025	J	`jnl`	Modeling dislocation dynamics data using semantic web technologies. Neural Comput. Appl. Ahmad Zainul Ihsan, Said Fathalla, Stefan Sandfeld
2024	J	`jnl`	Combining unsupervised and supervised learning in microscopy enables defect analysis of a full 4H-SiC wafer. CoRR Binh Duong Nguyen, Johannes Steiner, Peter Wellmann, Stefan Sandfeld
2024	J	`jnl`	DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials. CoRR Ahmad Zainul Ihsan, Said Fathalla, Stefan Sandfeld
2024	J	`jnl`	Deep learning of crystalline defects from TEM images: a solution for the problem of 'never enough training data'. Mach. Learn. Sci. Technol. Kishan Govind, Daniela Oliveros, Antonin Dlouhy, Marc Legros, Stefan Sandfeld
2024	J	`jnl`	Self-Supervised Learning in Electron Microscopy: Towards a Foundation Model for Advanced Image Analysis. CoRR Bashir Kazimi, Karina Ruzaeva, Stefan Sandfeld
2024	—	`conf`	Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopy. CVPR Workshops Bashir Kazimi, Karina Ruzaeva, Stefan Sandfeld
2024	—	`conf`	The Helmholtz Digitization Ontology: Representing Digital Assets in the Helmholtz Digital Ecosystem. SEMANTiCS (Posters, Demos, Workshops & Tutorials) Said Fathalla, Gerrit Günther, Leon Steinmeier, Christine Lemster, Dorothee Kottmeier, Lakxmi Sivapatham, Pier Luigi Buttigieg, Volker Hofmann, Stefan Sandfeld
2024	—	`conf`	The Helmholtz Knowledge Graph: Driving the Transition Towards a FAIR Data Ecosystem in the Helmholtz Association. ESWC Satellite Events (1) Jens Bröder, Gabriel Preuß, Fiona D'Mello, Said Fathalla, Volker Hofmann, Stefan Sandfeld
2023	J	`jnl`	A Generative Model for Accelerated Inverse Modelling Using a Novel Embedding for Continuous Variables. CoRR Sébastien Bompas, Stefan Sandfeld
2023	Misc	`conf`	DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials. SAC Ahmad Zainul Ihsan, Said Fathalla, Stefan Sandfeld
2023	J	`jnl`	Deep Learning of Crystalline Defects from TEM images: A Solution for the Problem of "Never Enough Training Data". CoRR Kishan Govind, Daniela Oliveros, Antonin Dlouhy, Marc Legros, Stefan Sandfeld
2023	J	`jnl`	Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties. CoRR Binh Duong Nguyen, Pavlo Potapenko, Aytekin Dermici, Kishan Govind, Stefan Sandfeld
2023	J	`jnl`	Instance Segmentation of Dislocations in TEM Images. CoRR Karina Ruzaeva, Kishan Govind, Marc Legros, Stefan Sandfeld
2023	—	`conf`	Knowledge Graph Based RDM Solutions NFDI4Culture - NFDI-MatWerk - NFDI4DataScience. CoRDI 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
2023	J	`jnl`	Machine learning for structure-guided materials and process design. CoRR Lukas Morand, Tarek Iraki, Johannes Dornheim, Stefan Sandfeld, Norbert Link, Dirk Helm
2023	J	`jnl`	Modeling Dislocation Dynamics Data Using Semantic Web Technologies. CoRR Ahmad Zainul Ihsan, Said Fathalla, Stefan Sandfeld
2023	J	`jnl`	Unsupervised Learning of Nanoindentation Data to Infer Microstructural Details of Complex Materials. CoRR Chen Zhang, Clémence Bos, Stefan Sandfeld, Ruth Schwaiger
2022	J	`jnl`	Automated analysis of continuum fields from atomistic simulations using statistical machine learning. CoRR Aruna Prakash, Stefan Sandfeld
2021	J	`jnl`	Grain segmentation in atomistic simulations using orientation-based iterative self-organizing data analysis. CoRR M. Vimal, Stefan Sandfeld, A. Prakash
2021	—	`conf`	Metadata Schema to support FAIR Data in Scanning Electron Microscopy. DAMDID/RCDL (Supplementary Proceedings) 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
2021	J	`jnl`	OptiMic: A tool to generate optimized polycrystalline microstructures for materials simulations. CoRR Prince Henry Serrao, Stefan Sandfeld, Aruna Prakash
2021	J	`jnl`	OptiMic: A tool to generate optimized polycrystalline microstructures for materials simulations. SoftwareX Prince Henry Serrao, Stefan Sandfeld, Aruna Prakash