Abbasi, A.; Dick, A.; Hickel, T.; Neugebauer, J.: First-principles investigation of the effect of carbon on the stacking fault energy of Fe–C alloys. Acta Materialia 59, pp. 3041 - 3048 (2011)
Dick, A.; Körmann, F.; Abbasi, A.; Hickel, T.; Neugebauer, J.: Towards an ab initio based understanding of deformation mechanisms in high-manganese Steels. 1st Int. Conf. on High Manganese Steels, Seoul, South Korea (2011)
Abbasi, A.; Dick, A.; Hickel, T.; Neugebauer, J.: First principles calculations of the stacking fault energies for Mn and Fe. Computational Materials Science on Complex Energy Landscapes Workshop, Imst, Austria (2010)
Abbasi, A.; Dick, A.; Hickel, T.; Neugebauer, J.: The influence of interstitial carbon on the stacking fault energy of Fe based materials. Psi-k Conference 2010, Berlin, Germany (2010)
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
Hydrogen in aluminium can cause embrittlement and critical failure. However, the behaviour of hydrogen in aluminium was not yet understood. Scientists at the Max-Planck-Institut für Eisenforschung were able to locate hydrogen inside aluminium’s microstructure and designed strategies to trap the hydrogen atoms inside the microstructure. This can…
The project aims to study corrosion, a detrimental process with an enormous impact on global economy, by combining denstiy-functional theory calculations with thermodynamic concepts.
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.