Dominik Britz

Dominik Britz

Universität des Saarlandes

H-index: 12

Europe-Germany

About Dominik Britz

Dominik Britz, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Universität des Saarlandes, specializes in the field of Material Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Scale-bridging contrasting and characterization of multi-wire submerged arc welds and electron beam welds in steels

Machine learning for the classification of macroscale fracture surfaces

Application of Bayesian Optimization for the optimized development of slurries for Additive Manufacturing

Reproducible Quantification of the Microstructure of Complex Quenched and Quenched and Tempered Steels Using Modern Methods of Machine Learning

Generation of asymmetric topographic structures in Cu-Sn connectors using extended direct laser interference patterning for the tailoring of insertion and removal forces

Björn-Ivo Bachmann1, 2*, Martin Müller1, 2, Dominik Britz1, 2, Ali Riza Durmaz3, Marc Ackermann4, Oleg Shchyglo5, Thorsten Staudt6 and Frank Mücklich1, 2

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

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

Dominik Britz Information

University

Position

___

Citations(all)

932

Citations(since 2020)

883

Cited By

345

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

16

i10Index(since 2020)

15

Email

University Profile Page

Universität des Saarlandes

Google Scholar

View Google Scholar Profile

Dominik Britz Skills & Research Interests

Material Science

Top articles of Dominik Britz

Title

Journal

Author(s)

Publication Date

Scale-bridging contrasting and characterization of multi-wire submerged arc welds and electron beam welds in steels

Practical Metallography

A Herges

C Pauly

M Müller

D Britz

F Mücklich

2023/6/30

Machine learning for the classification of macroscale fracture surfaces

Practical Metallography

A Herges

L Ulrich

S Scholl

M Müller

D Britz

...

2023/6/27

Application of Bayesian Optimization for the optimized development of slurries for Additive Manufacturing

Johannes Schubert

Pascal Friederich

Benedikt Burchard

Frederik Zanger

Tim Dahmen

...

2023

Reproducible Quantification of the Microstructure of Complex Quenched and Quenched and Tempered Steels Using Modern Methods of Machine Learning

Metals

Björn-Ivo Bachmann

Martin Müller

Dominik Britz

Thorsten Staudt

Frank Mücklich

2023/8/3

Generation of asymmetric topographic structures in Cu-Sn connectors using extended direct laser interference patterning for the tailoring of insertion and removal forces

Silas Schütz

Sebastian Suarez

Dominik Britz

Frank Mücklich

2022/10/23

Björn-Ivo Bachmann1, 2*, Martin Müller1, 2, Dominik Britz1, 2, Ali Riza Durmaz3, Marc Ackermann4, Oleg Shchyglo5, Thorsten Staudt6 and Frank Mücklich1, 2

BI Bachmann

M Müller

D Britz

AR Durmaz

M Ackermann

...

2022

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

Frontiers in Materials

Björn-Ivo Bachmann

Martin Müller

Dominik Britz

Ali Riza Durmaz

Marc Ackermann

...

2022/10/11

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

Practical Metallography

J Ott

A Burghardt

D Britz

F Mücklich

2022/8/31

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

Practical Metallography

M Kasper

M Müller

K Illgner-Fehns

K Stanishev

D Britz

...

2022/8/31

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

Practical Metallography

M Laub

B-I Bachmann

E Detemple

F Scherff

T Staudt

...

2022/12/30

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

journal of materials research and technology

Johannes Webel

Hardy Mohrbacher

Eric Detemple

Dominik Britz

Frank Mücklich

2022/5/1

Methodical approach for tribo-electrical and topographical tailoring of Cu-Sn connectors with extended direct laser interference patterning

Adrian Thome

Christian Schäfer

Fabian Bonner

Adrian Herges

Silas Daniel Schuetz

...

2022/10/23

Addressing materials’ microstructure diversity using transfer learning

npj Computational Materials

Aurèle Goetz

Ali Riza Durmaz

Martin Müller

Akhil Thomas

Dominik Britz

...

2022/2/3

Scale-bridging microstructural analysis–a correlative approach to microstructure quantification combining microscopic images and EBSD data

Practical Metallography

M Müller

D Britz

F Mücklich

2021/7/31

Microstructural classification of bainitic subclasses in low-carbon multi-phase steels using machine learning techniques

Metals

Martin Müller

Dominik Britz

Thorsten Staudt

Frank Mücklich

2021/11/16

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

Ultramicroscopy

Johannes Webel

Louis Weber

Emina Vardo

Dominik Britz

Tobias Kraus

...

2021/4/1

A deep learning approach for complex microstructure inference

Nature communications

Ali Riza Durmaz

Martin Müller

Bo Lei

Akhil Thomas

Dominik Britz

...

2021/11/1

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

Powder Metallurgy

Jonas Ott

Andreas Burghardt

Dominik Britz

Frank Mücklich

2021/3/15

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

Continuum Mechanics and Thermodynamics

Frederik Scherff

Jessica Gola

Sebastian Scholl

Kinshuk Srivastava

Thorsten Staudt

...

2021/9

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

Practical Metallography

Jonas Ott

Andreas Burghardt

Dominik Britz

Sandra Majauskaite

Frank Mücklich

2021/2/19

See List of Professors in Dominik Britz University(Universität des Saarlandes)