A Multiscale Dislocation Language for Data-Driven Materials Science

Informazioni relative al progetto

MuDiLingo

ID dell’accordo di sovvenzione: 759419

DOI 10.3030/759419

Progetto chiuso

Data della firma CE 4 Ottobre 2017

Data di avvio 1 Novembre 2017

Data di completamento 31 Ottobre 2023

Finanziato da

• EXCELLENT SCIENCE - European Research Council (ERC)

Costo totale € 1 499 145,00

Contributo UE € 1 499 145,00

Coordinato da

FORSCHUNGSZENTRUM JULICH GMBH
Germany

Pubblicazioni

Peer reviewed articles (18)

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

Autori: Aruna Prakash; Stefan Sandfeld
Pubblicato in: Advanced engineering materials 24(12), 2200574 - (2022). doi:10.1002/adem.202200574, Numero 1, 2023, ISSN 1527-2648
Editore: Wiley
DOI: 10.1002/adem.202200574

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

Autori: Dominik Steinberger, Inas Issa, Rachel Strobl, Peter J. Imrich, Daniel Kiener, Stefan Sandfeld
Pubblicato in: Computational Materials Science, Numero Volume 216, 2023, Pagina/e 111830, ISSN 0927-0256
Editore: Elsevier BV
DOI: 10.1016/j.commatsci.2022.111830

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

Autori: Patrick Trampert, Dmitri Rubinstein, Faysal Boughorbel, Christian Schlinkmann, Maria Luschkova, Philipp Slusallek, Tim Dahmen, Stefan Sandfeld
Pubblicato in: Crystals, Numero 11/3, 2021, Pagina/e 258, ISSN 2073-4352
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cryst11030258

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

Autori: Aytekin Demirci, Dominik Steinberger, Markus Stricker, Nina Merkert, Daniel Weygand and Stefan Sandfeld
Pubblicato in: Modelling and Simulation in Materials Science and Engineering, Numero Volume 31, Number 7, 2023, Pagina/e 075003, ISSN 1361-651X
Editore: IOP Publishing
DOI: 10.1088/1361-651x/acea39

Orientation-related twinning and dislocation glide in a cantor high entropy alloy at room and cryogenic temperature studied by in situ TEM straining

Autori: Daniela Oliveros, Anna Fraczkiewicz, Antonin Dlouhy, Chen Zhang, Hengxu Song, Stefan Sandfeld, Marc Legros
Pubblicato in: Materials Chemistry and Physics, Numero 272, 2021, Pagina/e 124955, ISSN 0254-0584
Editore: 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

Autori: M. Budnitzki, S. Sandfeld
Pubblicato in: Journal of the Mechanics and Physics of Solids, Numero 150, 2021, Pagina/e 104222, ISSN 0022-5096
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.jmps.2020.104222

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

Autori: Prince Henry Serrao; Stefan Sandfeld; Stefan Sandfeld; Stefan Sandfeld; Aruna Prakash
Pubblicato in: SoftwareX, Vol 15, Iss , Pp 100708- (2021), Numero 5, 2021, ISSN 2352-7110
Editore: Elsevier
DOI: 10.1016/j.softx.2021.100708

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

Autori: Hengxu Song, Nina Gunkelmann, Giacomo Po, Stefan Sandfeld
Pubblicato in: Modelling and Simulation in Materials Science and Engineering, Numero 29/3, 2021, Pagina/e 035005, ISSN 0965-0393
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-651x/abdc6b

Multiscale study of the dynamic friction coefficient due to asperity plowing

Autori: Jianqiao Hu, Hengxu Song, Stefan Sandfeld, Xiaoming Liu, Yueguang Wei
Pubblicato in: Friction, Numero 9/4, 2021, Pagina/e 822-839, ISSN 2223-7690
Editore: Springer
DOI: 10.1007/s40544-020-0438-4

Chances and Challenges in Fusing Data Science with Materials Science

Autori: A. Prakash, S. Sandfeld
Pubblicato in: Practical Metallography, Numero 55/8, 2018, Pagina/e 493-514, ISSN 0032-678X
Editore: Carl Hanser Verlag GmbH & Co.
DOI: 10.3139/147.110539

Machine Learning-Based Classification of Dislocation Microstructures

Autori: D. Steinberger, H. Song, S. Sandfeld
Pubblicato in: frontiers in materials, Numero 6, Article 141, 2019, ISSN 2296-8016
Editore: 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

Autori: Roman Kositski, Dominik Steinberger, Stefan Sandfeld, Dan Mordehai
Pubblicato in: Computational Materials Science, Numero 149, 2018, Pagina/e 125-133, ISSN 0927-0256
Editore: 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

Autori: Stefan Sandfeld, Vahid Samaee, Hosni Idrissi, Jonas Groten, Thomas Pardoen, Ruth Schwaiger, Dominique Schryvers
Pubblicato in: Data in Brief, Numero 27, 2019, Pagina/e 104724, ISSN 2352-3409
Editore: Elsevier BV
DOI: 10.1016/j.dib.2019.104724

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

Autori: Vahid Samaee, Stefan Sandfeld, Hosni Idrissi, Jonas Groten, Thomas Pardoen, Ruth Schwaiger, Dominique Schryvers
Pubblicato in: Materials Science and Engineering: A, Numero 769, 2020, Pagina/e 138295, ISSN 0921-5093
Editore: Elsevier BV
DOI: 10.1016/j.msea.2019.138295

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

Autori: Jianqiao Hu, Hengxu Song, Zhanli Liu, Zhuo Zhuang, Xiaoming Liu, Stefan Sandfeld
Pubblicato in: Scientific Reports, Numero 9/1, 2019, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-019-56252-x

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

Autori: Stephan Köhler, Oliver Rheinbach, Stefan Sandfeld, Dominik Steinberger
Pubblicato in: PAMM, Numero 19/1, 2019, ISSN 1617-7061
Editore: Wiley Online Library
DOI: 10.1002/pamm.201900292

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

Autori: Chen Zhang, Hengxu Song, Daniela Oliveros, Anna Fraczkiewicz, Marc Legros, Stefan Sandfeld
Pubblicato in: Acta Materialia, Numero Volume 241, 2022, Pagina/e 118394, ISSN 1359-6454
Editore: Elsevier BV
DOI: 10.1016/j.actamat.2022.118394

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

Autori: M. Vimal; S. Sandfeld; A. Prakash
Pubblicato in: Materialia 21, 101314 - (2022). doi:10.1016/j.mtla.2022.101314, Numero 3, 2022, ISSN 2589-1529
Editore: Elsevier
DOI: 10.1016/j.mtla.2022.101314

Conference proceedings (3)

DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials

Autori: Ahmad Zainul Ihsan, Said Fathalla, Stefan Sandfeld
Pubblicato in: Proceedings of the ACM Symposium on Applied Computing, Numero Annual ACM Symposium on Applied Computing, SAC 2023, 2023
Editore: ACM
DOI: 10.1145/3555776.3578739

Steps towards a Dislocation Ontology for Crystalline Materials

Autori: Ahmad Zainul Ihsan, Danilo Dessì, Mehwish Alam, Harald Sack, Stefan Sandfeld
Pubblicato in: CEUR Workshop Proceedings, 2021
Editore: CEUR Workshop Proceedings
DOI: 10.5281/zenodo.5076455

Instance Segmentation of Dislocations in TEM Images

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