A Multiscale Dislocation Language for Data-Driven Materials Science

Publikacje

Automated Analysis of Continuum Fields from Atomistic Simulations Using Statistical Machine Learning

Autorzy: Aruna Prakash; Stefan Sandfeld
Opublikowane w: Advanced engineering materials 24(12), 2200574 - (2022). doi:10.1002/adem.202200574, Numer 1, 2023, ISSN 1527-2648
Wydawca: Wiley
DOI: 10.1002/adem.202200574

Data-mining of in-situ TEM experiments: Towards understanding nanoscale fracture

Autorzy: Dominik Steinberger, Inas Issa, Rachel Strobl, Peter J. Imrich, Daniel Kiener, Stefan Sandfeld
Opublikowane w: Computational Materials Science, Numer Volume 216, 2023, Strona(/y) 111830, ISSN 0927-0256
Wydawca: Elsevier BV
DOI: 10.1016/j.commatsci.2022.111830

Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling

Autorzy: Patrick Trampert, Dmitri Rubinstein, Faysal Boughorbel, Christian Schlinkmann, Maria Luschkova, Philipp Slusallek, Tim Dahmen, Stefan Sandfeld
Opublikowane w: Crystals, Numer 11/3, 2021, Strona(/y) 258, ISSN 2073-4352
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cryst11030258

Statistical analysis of discrete dislocation dynamics simulations: initial structures, cross-slip and microstructure evolution

Autorzy: Aytekin Demirci, Dominik Steinberger, Markus Stricker, Nina Merkert, Daniel Weygand and Stefan Sandfeld
Opublikowane w: Modelling and Simulation in Materials Science and Engineering, Numer Volume 31, Number 7, 2023, Strona(/y) 075003, ISSN 1361-651X
Wydawca: IOP Publishing
DOI: 10.1088/1361-651x/acea39

Autorzy: Daniela Oliveros, Anna Fraczkiewicz, Antonin Dlouhy, Chen Zhang, Hengxu Song, Stefan Sandfeld, Marc Legros
Opublikowane w: Materials Chemistry and Physics, Numer 272, 2021, Strona(/y) 124955, ISSN 0254-0584
Wydawca: Elsevier BV
DOI: 10.1016/j.matchemphys.2021.124955

A model for the interaction of dislocations with planar defects based on Allen–Cahn type microstructure evolution coupled to strain gradient elasticity

Autorzy: M. Budnitzki, S. Sandfeld
Opublikowane w: Journal of the Mechanics and Physics of Solids, Numer 150, 2021, Strona(/y) 104222, ISSN 0022-5096
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.jmps.2020.104222

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

Autorzy: Prince Henry Serrao; Stefan Sandfeld; Stefan Sandfeld; Stefan Sandfeld; Aruna Prakash
Opublikowane w: SoftwareX, Vol 15, Iss , Pp 100708- (2021), Numer 5, 2021, ISSN 2352-7110
Wydawca: Elsevier
DOI: 10.1016/j.softx.2021.100708

Data-mining of dislocation microstructures: concepts for coarse-graining of internal energies

Autorzy: Hengxu Song, Nina Gunkelmann, Giacomo Po, Stefan Sandfeld
Opublikowane w: Modelling and Simulation in Materials Science and Engineering, Numer 29/3, 2021, Strona(/y) 035005, ISSN 0965-0393
Wydawca: Institute of Physics Publishing
DOI: 10.1088/1361-651x/abdc6b

Multiscale study of the dynamic friction coefficient due to asperity plowing

Autorzy: Jianqiao Hu, Hengxu Song, Stefan Sandfeld, Xiaoming Liu, Yueguang Wei
Opublikowane w: Friction, Numer 9/4, 2021, Strona(/y) 822-839, ISSN 2223-7690
Wydawca: Springer
DOI: 10.1007/s40544-020-0438-4

Chances and Challenges in Fusing Data Science with Materials Science

Autorzy: A. Prakash, S. Sandfeld
Opublikowane w: Practical Metallography, Numer 55/8, 2018, Strona(/y) 493-514, ISSN 0032-678X
Wydawca: Carl Hanser Verlag GmbH & Co.
DOI: 10.3139/147.110539

Machine Learning-Based Classification of Dislocation Microstructures

Autorzy: D. Steinberger, H. Song, S. Sandfeld
Opublikowane w: frontiers in materials, Numer 6, Article 141, 2019, ISSN 2296-8016
Wydawca: Frontiers
DOI: 10.3389/fmats.2019.0141

Shear relaxation behind the shock front in 1 1 0 molybdenum – From the atomic scale to continuous dislocation fields

Autorzy: Roman Kositski, Dominik Steinberger, Stefan Sandfeld, Dan Mordehai
Opublikowane w: Computational Materials Science, Numer 149, 2018, Strona(/y) 125-133, ISSN 0927-0256
Wydawca: Elsevier BV
DOI: 10.1016/j.commatsci.2018.02.058

Datasets for the analysis of dislocations at grain boundaries and during vein formation in cyclically deformed Ni micropillars

Autorzy: Stefan Sandfeld, Vahid Samaee, Hosni Idrissi, Jonas Groten, Thomas Pardoen, Ruth Schwaiger, Dominique Schryvers
Opublikowane w: Data in Brief, Numer 27, 2019, Strona(/y) 104724, ISSN 2352-3409
Wydawca: Elsevier BV
DOI: 10.1016/j.dib.2019.104724

Dislocation structures and the role of grain boundaries in cyclically deformed Ni micropillars

Autorzy: Vahid Samaee, Stefan Sandfeld, Hosni Idrissi, Jonas Groten, Thomas Pardoen, Ruth Schwaiger, Dominique Schryvers
Opublikowane w: Materials Science and Engineering: A, Numer 769, 2020, Strona(/y) 138295, ISSN 0921-5093
Wydawca: Elsevier BV
DOI: 10.1016/j.msea.2019.138295

Predicting the flow stress and dominant yielding mechanisms: analytical models based on discrete dislocation plasticity

Autorzy: Jianqiao Hu, Hengxu Song, Zhanli Liu, Zhuo Zhuang, Xiaoming Liu, Stefan Sandfeld
Opublikowane w: Scientific Reports, Numer 9/1, 2019, ISSN 2045-2322
Wydawca: Nature Publishing Group
DOI: 10.1038/s41598-019-56252-x

FETI‐DP Solvers and Deal.II for Problems in Dislocation Mechanics

Autorzy: Stephan Köhler, Oliver Rheinbach, Stefan Sandfeld, Dominik Steinberger
Opublikowane w: PAMM, Numer 19/1, 2019, ISSN 1617-7061
Wydawca: Wiley Online Library
DOI: 10.1002/pamm.201900292

Data-mining of in-situ TEM experiments: On the dynamics of dislocations in CoCrFeMnNi alloys

Autorzy: Chen Zhang, Hengxu Song, Daniela Oliveros, Anna Fraczkiewicz, Marc Legros, Stefan Sandfeld
Opublikowane w: Acta Materialia, Numer Volume 241, 2022, Strona(/y) 118394, ISSN 1359-6454
Wydawca: Elsevier BV
DOI: 10.1016/j.actamat.2022.118394

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

Autorzy: M. Vimal; S. Sandfeld; A. Prakash
Opublikowane w: Materialia 21, 101314 - (2022). doi:10.1016/j.mtla.2022.101314, Numer 3, 2022, ISSN 2589-1529
Wydawca: Elsevier
DOI: 10.1016/j.mtla.2022.101314

DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials

Autorzy: Ahmad Zainul Ihsan, Said Fathalla, Stefan Sandfeld
Opublikowane w: Proceedings of the ACM Symposium on Applied Computing, Numer Annual ACM Symposium on Applied Computing, SAC 2023, 2023
Wydawca: ACM
DOI: 10.1145/3555776.3578739

Steps towards a Dislocation Ontology for Crystalline Materials

Autorzy: Ahmad Zainul Ihsan, Danilo Dessì, Mehwish Alam, Harald Sack, Stefan Sandfeld
Opublikowane w: CEUR Workshop Proceedings, 2021
Wydawca: CEUR Workshop Proceedings
DOI: 10.5281/zenodo.5076455

Instance Segmentation of Dislocations in TEM Images

Autorzy: Karina Ruzaeva, Kishan Govind, Marc Legros, Stefan Sandfeld
Opublikowane w: 2023 IEEE 23rd International Conference on Nanotechnology (NANO), 2023, ISBN 979-8-3503-3346-6
Wydawca: IEEE
DOI: 10.1109/nano58406.2023.10231169

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