D. Britz

发表

Advanced Steel Microstructural Classification by Deep Learning Methods

Mario Fritz, Frank Mücklich, Dominik Britz, 2017, Scientific Reports.

Reproducible Surface Contrasting and Orientation Correlation of Low-Carbon Steels by Time-Resolved Beraha Color Etching

F. Mücklich, D. Britz, A. Hegetschweiler, 2016 .

A Correlative Approach to Capture and Quantify Substructures by Means of Image Registration

F. Mücklich, D. Britz, J. Webel, 2017 .

Identifying and quantifying microstructures in low-alloyed steels : a correlative approach

F. Mücklich, D. Britz, J. Webel, 2017 .

Secondary carbides in high chromium cast irons: An alternative approach to their morphological and spatial distribution characterization

F. Mücklich, D. Britz, M. A. Guitar, 2018, Materials Characterization.

A deep learning approach for complex microstructure inference

Martin Müller, F. Mücklich, D. Britz, 2021, Nature communications.

Segmentation of Lath-Like Structures via Localized Identification of Directionality in a Complex-Phase Steel

Martin Müller, F. Mücklich, D. Britz, 2020, Metallography, Microstructure, and Analysis.

Quantification of the Phase Transformation Kinetics in High Chromium Cast Irons Using Dilatometry and Metallographic Techniques

F. Mücklich, D. Britz, D. Ponge, 2020, Metallurgical and Materials Transactions A.

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, D. Britz, M. Engstler, 2015 .

Microstructural Classiﬁcation of Bainitic Subclasses in Low-Carbon Multi-Phase Steels Using Machine Learning Techniques

Martin Müller, F. Mücklich, D. Britz, 2021 .

New possibilities for macroscopic imaging in test laboratories – Modern light field objective lenses serving as the basis for large-scale 3D topography reconstruction and quantification

F. Mücklich, D. Britz, K. Stanishev, 2022, Practical Metallography.

Tracing Microalloy Precipitation in Nb-Ti HSLA Steel during Austenite Conditioning

F. Mücklich, D. Britz, J. Webel, 2020, Metals.

Efficient reconstruction of prior austenite grains in steel from etched light optical micrographs using deep learning and annotations from correlative microscopy

F. Mücklich, D. Britz, T. Staudt, 2022, Frontiers in Materials.

Advanced microstructure classification by data mining methods

Marc Winter, Thorsten Staudt, Frank Mücklich, 2018, Computational Materials Science.

Quantitative analysis of mixed niobium-titanium carbonitride solubility in HSLA steels based on atom probe tomography and electrical resistivity measurements

F. Mücklich, D. Britz, J. Webel, 2022, Journal of Materials Research and Technology.

Classification of Bainitic Structures Using Textural Parameters and Machine Learning Techniques

Thorsten Staudt, Frank Mücklich, Martin Müller, 2020 .

Particle encapsulation techniques for atom probe tomography of precipitates in microalloyed steels.

F. Mücklich, D. Britz, J. Webel, 2021, Ultramicroscopy.

Numerical simulation of dual-phase steel based on real and virtual three-dimensional microstructures

F. Mücklich, D. Britz, T. Staudt, 2021, Continuum Mechanics and Thermodynamics.

RVE-size Estimation and Efficient Microstructure-based Simulation of Dual-Phase Steel

F. Mücklich, D. Britz, T. Staudt, 2020 .

The Effect of Thermal Processing and Chemical Composition on Secondary Carbide Precipitation and Hardness in High-Chromium Cast Irons

F. Mücklich, D. Britz, M. A. Guitar, 2020, International Journal of Metalcasting.

A new analysis approach based on Haralick texture features for the characterization of microstructure on the example of low-alloy steels

Jessica Gola, Frank Mücklich, Dominik Britz, 2018, Materials Characterization.

Microstructural Classification of Bainitic Subclasses in Low-Carbon Multi-Phase Steels Using Machine Learning Techniques

Martin Müller, F. Mücklich, D. Britz, 2021, Metals.

Objective microstructure classification by support vector machine (SVM) using a combination of morphological parameters and textural features for low carbon steels

Marc Winter, Thorsten Staudt, Frank Mücklich, 2019, Computational Materials Science.

Effect of indentation temperature on nickel-titanium indentation-induced two-way shape-memory surfaces

H. Maier, F. Mücklich, D. Britz, 2016 .

Influence of porosity and impurities on the thermal conductivity of pressure-less sintered Cu powder green bodies

F. Mücklich, D. Britz, A. Burghardt, 2021 .

Practical Metallography of Low Carbon Steels – New approaches in Preparation, Imaging and Analysis of Microstructures

D. Britz, J. Webel, F. Muecklich, 2018, Microscopy and Microanalysis.

Addressing materials’ microstructure diversity using transfer learning pdf

Pierre Kerfriden, Dominik Britz, Akhil Thomas, 2021, npj Computational Materials.

Scale-bridging Microstructural Analysis – A Correlative Approach to Microstructure Quantification Combining Microscopic Images and EBSD Data

F. Mücklich, D. Britz, M. Müller, 2021, Practical Metallography.

A deep learning approach for complex microstructure inference

Frank Mücklich, Dominik Britz, Peter Gumbsch, 2021, Nature Communications.

Qualitative and Quantitative Microstructural Analysis of Copper for Sintering Process Optimization in Additive Manufacturing Applications

F. Mücklich, D. Britz, A. Burghardt, 2021 .

Microstructural analysis as a requirement for sinter-based additive manufacturing of highly conductive copper

D. Britz, F. Mücklich, J. Ott, 2022, Practical Metallography.

Serial Sectioning Techniques – a Versatile Method for Three-Dimensional Microstructural Imaging

F. Mücklich, D. Britz, M. Engstler, 2018, Practical Metallography.

Machine learning for the classification of macroscale fracture surfaces

D. Britz, F. Mücklich, M. Müller, 2023, Practical Metallography.

Image Processing using Open Source Tools and their Implementation in the Analysis of Complex Microstructures

F. Mücklich, D. Britz, U. Pranav Nayak, 2021 .

Investigation of Austenite Evolution in Low-Carbon Steel by Combining Thermo-Mechanical Simulation and EBSD Data

D. Rupp, F. Mücklich, D. Britz, 2015 .

Evaluation of Solute Evolution for Varying Reheating Temperatures in HSLA With Niobium and Niobium-Titanium Additions

D. Britz, J. Barrirero, A. Herges, 2024, RDPS 2024 Proceedings.

Evaluation of the Etching Process for Analysis of Secondary Carbides in HCCI by Optical and Confocal Laser Microscopy

F. Mücklich, D. Britz, A. Scheid, 2019, Practical Metallography.

Overview: Machine Learning for Segmentation and Classification of Complex Steel Microstructures

D. Britz, Björn Bachmann, F. Mücklich, 2024, Metals.

Determination of grain size distribution of prior austenite grains through a combination of a modified contrasting method and machine learning

D. Britz, C. Motz, F. Mücklich, 2022, Practical Metallography.