Roters, F.; Eisenlohr, P.; Tjahjanto, D. D.; Kords, C.; Diehl, M.; Raabe, D.: DAMASK: The Düsseldorf Advanced Material Simulation Kit for studying crystal plasticity using FEM and FFT based numerical solvers. 18th International Symposium on Plasticity & Its Current Applications, San Juan, Puerto Rico (2012)
Roters, F.; Diehl, M.; Eisenlohr, P.; Lebensohn, R. A.: Solving finite-deformation crystal elasto-viscoplasticity with a fast Fourier transformation-based spectral method. 2nd International Conference on Material Modelling ICMM 2, Paris, France (2011)
Eisenlohr, P.; Roters, F.; Kords, C.; Diehl, M.; Lebensohn, R.A.; Raabe, D.: Combining characterization and simulation of grain-scale plasticity in three dimensions. EBSD Conference 2011 of the Royal Microscopical Society, Düsseldorf, Germany (2011)
Eisenlohr, P.; Diehl, M.; Roters, F.; Lebensohn, R.A.: Solving finite-deformation crystal elasto-viscoplasticity with a fast Fourier transformation-based spectral method. TMS Annual Meeting, San Diego, CA, USA (2011)
Diehl, M.; Eisenlohr, P.; Lebensohn, R. A.; Roters, F.: A spectral method using fast Fourier transform to solve elastoviscoplastic mechanical boundary value problems. Lehrstuhl für Werkstoffkunde und Werkstoffmechanik, TU München, München, Germany (2011)
Diehl, M.; Eisenlohr, P.; Roters, F.; Lebensohn, R. A.; Raabe, D.: Solving Elastoviscoplastic Mechanical Boundary Value Using a Spectral Method. Evaluierung des Christian-Doppler-Laboratorium für Werkstoffmechanik von Hochleistungslegierungen, Garching, Germany (2010)
Sedighiani, K.; Diehl, M.; Traka, K.; Roters, F.; Sietsma, J.; Raabe, D.: On the determination of constitutive parameters for a physics-based crystal plasticity model from macro-scale behavior. Meeting Materials 2018 , M2i Conference, Noordwijkerhout, The Netherlands (2018)
Shah, V.; Diehl, M.; Roters, F.: Prediction of Nucleation Sites During Recrystallization. M2i conference “Meeting Materials”, Noordwijkerhout, The Netherlands (2018)
Diehl, M.; Kühbach, M.; Raabe, D.: Experimental–computational analysis of primary static recrystallizazion in DC04 steel. 9th International Conference on Multiscale Materials Modeling , Osaka, Japan (2018)
Diehl, M.; Kühbach, M.; Broß, C.; Raabe, D.: Experimental-Numerical Analysis of Primary Recrystallization in DC04 Low Carbon Steel. Gordon Research Conference on Physical Metallurgy: Frontiers of Quantification and Predictive Capability in Physical Metallurgy, University of New England, Biddeford, ME, USA (2017)
Broß, C.; Diehl, M.; Raabe, D.: Quasi In-Situ Untersuchung der statischen Rekristallisation in DC04 Stahl. Fachtagung für Mikroskopie und Präparation MikPräp 2017, Solingen, Germany (2017)
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
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…
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
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…
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…
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…