| 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 | 92 | 2018 |
| 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 | 26 | 2018 |
| 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 | 17 | 2019 |
| 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 | 13 | 2016 |
| 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 | 12 | 2018 |
| 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 | 10 | 2017 |
| 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 | 6 | 2017 |
| 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 | 6 | 2016 |
| 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 | 6 | 2015 |
| 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 | 5 | 2018 |
| 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 | 5 | 2015 |
| Serial Sectioning Techniques–a Versatile Method for Three-Dimensional Microstructural Imaging: The working group “Serial Sectioning Tomography” is headed by Prof. Dr.-Ing … F Mücklich, M Engstler, D Britz, J Gola Practical Metallography 55 (8), 569-578, 2018 | 3 | 2018 |
| 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, 1-11, 2020 | 2 | 2020 |
| 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 | 1 | 2020 |
| 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 | 1 | 2019 |
| 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 | 1 | 2014 |
| RVE-size Estimation and Efficient Microstructure-based Simulation of Dual-Phase Steel F Scherff, J Gola, S Scholl, K Srivastava, T Staudt, D Britz, F Mücklich, ... Technische Mechanik-European Journal of Engineering Mechanics 40 (2), 175-190, 2020 | | 2020 |
| Quantification of the Phase Transformation Kinetics in High Chromium Cast Irons Using Dilatometry and Metallographic Techniques MA Guitar, A Scheid, UP Nayak, L Nakamura, D Ponge, D Britz, ... METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS …, 2020 | | 2020 |
| 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 | | 2020 |
| 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 | | 2020 |
