Hickel, T.: Introduction to Quantum Mechanics in Solid-State Physics. Lecture: Masterstudiengang „Materials Science and Simulation“, WS 2015/2016, Ruhr-Universität Bochum, Bochum, Germany, October 01, 2015 - March 31, 2016
Hickel, T.: Introduction to Quantum Mechanics in Solid-State Physics. Lecture: Masterstudiengang „Materials Science and Simulation“, WS 2014/2015, Ruhr-Universität Bochum, Bochum, Germany, October 01, 2014 - March 31, 2015
Hickel, T.: Introduction to Quantum Mechanics in Solid-State Physics. Lecture: Masterstudiengang „Materials Science and Simulation“, WS 2013/2014, Ruhr-Universität Bochum, Bochum, Germany, October 01, 2013 - March 31, 2014
Hickel, T.: Introduction to Quantum Mechanics in Solid-State Physics. Lecture: Masterstudiengang „Materials Science and Simulation“, WS 2012/2013, Ruhr-Universität Bochum, Bochum, Germany, October 01, 2012 - March 31, 2013
Hickel, T.: Introduction to Quantum Mechanics in Solid-State Physics. Lecture: Blockveranstaltung, Ruhr-Universität Bochum, Germany, March 21, 2011 - March 25, 2011
Hickel, T.: Introduction to Quantum Mechanics in Solid-State Physics. Lecture: Masterstudiengang „Materials Science and Simulation“, WS 2011/2012, Ruhr-Universität Bochum, Bochum, Germany, October 01, 2011 - March 31, 2012
Neugebauer, J.; Hickel, T.: Moderne Computersimulations-Methoden in der Festkörperphysik. Lecture: Hands-on-Tutorial, Ruhr-Universität Bochum, Bochum, Germany, September 20, 2010 - September 24, 2010
Neugebauer, J.; Hickel, T.: Computerpraktikum: Moderne Computersimulationsmethoden in der Festkörperphysik. Lecture: Blockpraktikum, MPIE, Düsseldorf, Germany, September 20, 2010 - September 24, 2010
Hickel, T.: Moderne Computersimulations-Methoden in der Festkörperphysik. Lecture: Lectures and Exercises, Ruhr-Universität, Bochum, Germany, October 12, 2009 - February 05, 2010
Gomoll, T.: Ab initio Berechnung von Phononenspektren in Systemen mit reduzierter Symmetrie. Diploma, Technische Fachhochschule Berlin, Berlin, Germany (2008)
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.
New product development in the steel industry nowadays requires faster development of the new alloys with increased complexity. Moreover, for these complex new steel grades, it is more challenging to control their properties during the process chain. This leads to more experimental testing, more plant trials and also higher rejections due to…
Crystal Plasticity (CP) modeling [1] is a powerful and well established computational materials science tool to investigate mechanical structure–property relations in crystalline materials. It has been successfully applied to study diverse micromechanical phenomena ranging from strain hardening in single crystals to texture evolution in…
Advanced microscopy and spectroscopy offer unique opportunities to study the structure, composition, and bonding state of individual atoms from within complex, engineering materials. Such information can be collected at a spatial resolution of as small as 0.1 nm with the help of aberration correction.
Complex simulation protocols combine distinctly different computer codes and have to run on heterogeneous computer architectures. To enable these complex simulation protocols, the CM department has developed pyiron.
Statistical significance in materials science is a challenge that has been trying to overcome by miniaturization. However, this process is still limited to 4-5 tests per parameter variance, i.e. Size, orientation, grain size, composition, etc. as the process of fabricating pillars and testing has to be done one by one. With this project, we aim to…