Dominik Britz
Dominik Britz
Bestätigte E-Mail-Adresse bei mx.uni-saarland.de
Titel
Zitiert von
Zitiert von
Jahr
Advanced steel microstructural classification by deep learning methods
SM Azimi, D Britz, M Engstler, M Fritz, F Mücklich
Scientific reports 8 (1), 1-14, 2018
1492018
Advanced microstructure classification by data mining methods
J Gola, D Britz, T Staudt, M Winter, AS Schneider, M Ludovici, F Mücklich
Computational Materials Science 148, 324-335, 2018
422018
Objective microstructure classification by support vector machine (SVM) using a combination of morphological parameters and textural features for low carbon steels
J Gola, J Webel, D Britz, A Guitar, T Staudt, M Winter, F Mücklich
Computational Materials Science 160, 186-196, 2019
322019
A new analysis approach based on Haralick texture features for the characterization of microstructure on the example of low-alloy steels
J Webel, J Gola, D Britz, F Mücklich
Materials Characterization 144, 584-596, 2018
192018
Reproducible surface contrasting and orientation correlation of low-carbon steels by time-resolved beraha color etching
D Britz, A Hegetschweiler, M Roberts, F Mücklich
Materials Performance and Characterization 5 (5), 553-563, 2016
162016
A correlative approach to capture and quantify substructures by means of image registration
D Britz, J Webel, J Gola, F Mücklich
Practical Metallography 54 (10), 685-696, 2017
132017
Identifying and quantifying microstructures in low-alloyed steels: a correlative approach
D Britz, J Webel, A Schneider, F Mücklich
Metallurgia Italiana 3, 5-10, 2017
92017
Secondary carbides in high chromium cast irons: An alternative approach to their morphological and spatial distribution characterization
MA Guitar, A Scheid, S Suárez, D Britz, MD Guigou, F Mücklich
Materials Characterization 144, 621-630, 2018
82018
The effect of thermal processing and chemical composition on secondary carbide precipitation and hardness in high-chromium cast irons
MA Guitar, UP Nayak, D Britz, F Mücklich
International Journal of Metalcasting 14 (3), 755-765, 2020
72020
Why we need all dimensions to solve both very old and very new questions in materials at the micro-, nano-and atomic scales
F Mücklich, M Engstler, D Britz, J Barrirero, P Rossi
Practical Metallography 52 (9), 507-524, 2015
72015
Tracing microalloy precipitation in Nb-Ti HSLA steel during austenite conditioning
J Webel, A Herges, D Britz, E Detemple, V Flaxa, H Mohrbacher, ...
Metals 10 (2), 243, 2020
62020
Effect of indentation temperature on nickel-titanium indentation-induced two-way shape-memory surfaces
SA Brinckmann, M Frensemeier, CM Laursen, HJ Maier, D Britz, ...
Materials Science and Engineering: A 675, 253-261, 2016
62016
Investigation of Austenite Evolution in Low-Carbon Steel by Combining Thermo-Mechanical Simulation and EBSD Data
S Weyand, D Britz, D Rupp, F Mücklich
Materials Performance and Characterization 4 (3), 322-340, 2015
52015
Classification of Bainitic structures using textural parameters and machine learning techniques
M Müller, D Britz, L Ulrich, T Staudt, F Mücklich
Metals 10 (5), 630, 2020
42020
Evaluation of the etching process for analysis of secondary carbides in HCCI by optical and confocal laser microscopy
MA Guitar, A Scheid, D Britz, F Muecklich
Practical Metallography 56 (4), 246-261, 2019
42019
Serial Sectioning Techniques–a Versatile Method for Three-Dimensional Microstructural Imaging
F Mücklich, M Engstler, D Britz, J Gola
Practical Metallography 55 (8), 569-578, 2018
42018
Application of trainable segmentation to microstructural images using low-alloy steels as an example
M Müller, D Britz, F Mücklich
Practical Metallography 57 (5), 337-358, 2020
22020
MACHINE LEARNING FOR MICROSTRUCTURE CLASSIFICATION: HOW TO ASSIGN THE GROUND TRUTH IN THE MOST OBJECTIVE WAY
M Mueller, D Britz, F Muecklich
ADVANCED MATERIALS & PROCESSES 179 (1), 16-21, 2021
12021
Opening the door to fundamental understanding of structure and color metallography-a correlative microscopy study on steel
D Britz, A Hegetschweiler, F Mücklich
Microscopy and Microanalysis 20 (S3), 834-835, 2014
12014
A Deep Learning Approach for Complex Microstructure Inference
A Durmaz, M Müller, B Lei, A Thomas, D Britz, E Holm, C Eberl, ...
2021
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