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
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…
Atom probe tomography (APT) provides three dimensional(3D) chemical mapping of materials at sub nanometer spatial resolution. In this project, we develop machine-learning tools to facilitate the microstructure analysis of APT data sets in a well-controlled way.
Atom probe tomography (APT) is one of the MPIE’s key experiments for understanding the interplay of chemical composition in very complex microstructures down to the level of individual atoms. In APT, a needle-shaped specimen (tip diameter ≈100nm) is prepared from the material of interest and subjected to a high voltage. Additional voltage or laser…
Ever since the discovery of electricity, chemical reactions occurring at the interface between a solid electrode and an aqueous solution have aroused great scientific interest, not least by the opportunity to influence and control the reactions by applying a voltage across the interface. Our current textbook knowledge is mostly based on mesoscopic…
Recent developments in experimental techniques and computer simulations provided the basis to achieve many of the breakthroughs in understanding materials down to the atomic scale. While extremely powerful, these techniques produce more and more complex data, forcing all departments to develop advanced data management and analysis tools as well as…