Welsch, E. D.; Haghighat, S. M. H.; Gutiérrez-Urrutia, I.; Raabe, D.: Investigation of nano-sized kappa carbide distribution in advanced austenitic lightweight high-Mn steels by coupled TEM and DDD simulations: Strengthening and dislocation-based mechanisms. 2nd International Conference on High Manganese Steels, Aachen, Germany (2014)
Haghighat, S. M. H.; Eggeler, G. F.; Raabe, D.: Mesoscale modelling of the influence of loading conditions on the dislocation mobility and creep process in single crystal Ni base superalloys. KTH Stockholm-Sweden, Stockholm, Sweden (2014)
Haghighat, S. M. H.; Eggeler, G.; Raabe, D.: Discrete Dislocation Dynamics Study of Creep Anisotropy in Single Crystal Ni Base Superalloys. MRS Fall Meeting, Bosten, USA (2013)
Haghighat, S. M. H.; Schäublin, R.; Raabe, D.: Molecular Dynamics Study of Obstacle Induced Hardening; From Nano-Sized Defects to Binary Junction. MRS Fall Meeting, Bosten, MA, USA (2013)
Haghighat, S. M. H.; Schäublin, R.; Raabe, D.: Atomistic study of forest hardening through binary dislocation junction in bcc-iron. 2013 MRS Spring Meeting, San Francisco, CA, USA (2013)
Haghighat, S. M. H.; Eggeler, G.; Raabe, D.: Discrete dislocation dynamics modeling of loading orientation effect on the low stress creep of single crystal Ni base superalloys. Intermetallics 2013, Bad Staffelstein, Germany (2013)
Haghighat, S. M. H.; Eggeler, G.; Raabe, D.: Primary creep of Ni base supealloys used in hot gas turbine blades. Alstom Company, Baden, Switzerland (2012)
Haghighat, S. M. H.; Eggeler, G.; Raabe, D.: Dislocation dynamics modeling of the glide-climb mobility of a ½ a0<110>{111} dislocation in interaction with γ’ precipitate in Ni-based superalloy. 4th International Conference on Dislocations, Budapest, Hungary (2012)
Haghighat, S. M. H.; Schäublin, R.: Perspective of multiscale simulation approach in the development of novel materials. Tarbiat Modares University, Tehran, Iran (2012)
Haghighat, S. M. H.; Schäublin, R.: Atomistic simulation and transmission electron microscopy of obstacle strengthening in iron. Sahand University of Technology, Tabri, Iran (2012)
Haghighat, S. M. H.; von Pezold, J.; Neugebauer, J.; Raabe, D.: Effect of local stress state on the glide of ½a₀<111> screw dislocation in bcc-Fe. 1st Austrian-German Workshop on Computational Materials Design, Kramsach, Austria (2012)
Schäublin, J.; Haghighat, S. M. H.: Simulation of the screw dislocation mobility in Fe by molecular dynamics. E-MRS Spring Meeting, Nice, France (2011)
Haghighat, S. M. H.; Schäublin, R.: Dislocations mechanisms in bcc-Fe; from atomistic to TEM observation. Workshop on ab initio Description of Iron and Steel: Mechanical properties, Ringberg Castle, Germany (2010)
Haghighat, S. M. H.; Reed, R. C.; Raabe, D.: Modeling of dislocation mechanisms and the influence of the γ/γ´lattice misfit on the dislocation assisted creep of high temperature Ni-base superalloys. 7th International Conference on Multiscale Materials Modeling , Berkeley, CA, USA (2014)
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…
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…
The field of micromechanics has seen a large progress in the past two decades, enabled by the development of instrumented nanoindentation. Consequently, diverse methodologies have been tested to extract fundamental properties of materials related to their plastic and elastic behaviour and fracture toughness. Established experimental protocols are…