Tasan, C. C.: Overcoming challenges in damage engineering: Design of reliable damage quantification methodologies and damage-resistant microstructures. TMS 2015, Orlando, FL, USA (2015)
Tasan, C. C.; Diehl, M.; Yan, D.; Raabe, D.: Coupled high-resolution experiments and crystal plasticity simulations to analyze stress and strain partitioning in multi-phase alloys. TMS2015, Orlando, FL, USA (2015)
Tasan, C. C.; Yan, D.; Raabe, D.: A novel, high-resolution approach for concurrent mapping of micro-strain and micro-structure evolution up to damage nucleation. TMS 2015, Orlando, FL, USA (2015)
Morsdorf, L.; Tasan, C. C.; Ponge, D.; Raabe, D.: Lath martensite transformation, µ-plasticity and tempering reactions: potential TEM aids. Seminar at Institute of Nanotechnology (INT), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany (2015)
Tasan, C. C.: Doing more, with less, for longer:Designing high-performance eco-friendly materials guided by in-situ experiments and simulations. Invited Seminar at the Dept. of Mat. Sci. and Eng. of MIT, Boston, MA, USA (2015)
Tasan, C. C.: Investigating Stress - Strain Partitioning in Nanostructured Multi-phase Alloys by Coupled Experiments and Simulations. 3rd World Congress on Integrated Computational Materials Engineering, Colorado Springs, CO, USA (2015)
Tasan, C. C.: Doing more, with less, for longer: Designing high-performance eco-friendly materials guided by in-situ experiments and simulations. Invited Seminar at the Dept. of Mat. Sci. and Eng. of MIT, Boston, MA, USA (2015)
Tasan, C. C.; Morsdorf, L.: In-situ characterization of martensite plasticity by high resolution microstructure and strain mapping. ICM12, Karlsruhe, Germany (2015)
Diehl, M.; Shanthraj, P.; Roters, F.; Tasan, C. C.; Raabe, D.: A Virtual Laboratory to Derive Mechanical Properties. M2i Conference "High Tech Materials: your world - our business"
, Sint Michielgestel, The Netherlands (2014)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
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
This project will aim at developing MEMS based nanoforce sensors with capacitive sensing capabilities. The nanoforce sensors will be further incorporated with in situ SEM and TEM small scale testing systems, for allowing simultaneous visualization of the deformation process during mechanical tests
The utilization of Kelvin Probe (KP) techniques for spatially resolved high sensitivity measurement of hydrogen has been a major break-through for our work on hydrogen in materials. A relatively straight forward approach was hydrogen mapping for supporting research on hydrogen embrittlement that was successfully applied on different materials, and…
It is very challenging to simulate electron-transfer reactions under potential control within high-level electronic structure theory, e. g. to study electrochemical and electrocatalytic reaction mechanisms. We develop a novel method to sample the canonical NVTΦ or NpTΦ ensemble at constant electrode potential in ab initio molecular dynamics…
Photovoltaic materials have seen rapid development in the past decades, propelling the global transition towards a sustainable and CO2-free economy. Storing the day-time energy for night-time usage has become a major challenge to integrate sizeable solar farms into the electrical grid. Developing technologies to convert solar energy directly into…
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…