Wahn, M.; Neugebauer, J.: Generalized Wannier functions: An efficient way to construct ab-initio tight-binding parameters for group-III nitrides. Physica Status Solidi B: Basic Research 243, 7, pp. 1583 - 1587 (2006)
Marquardt, O.; Wahn, M.; Lymperakis, L.; Hickel, T.; Neugebauer, J.: Implementation and application of a multi-scale approach to electronic properties of group III-nitride based semiconductor nanostructures. Workshop on Nitride Based Nanostructures, Berlin, Germany (2007)
Neugebauer, J.; Wahn, M.: Exact exchange within Kohn-Sham formalism. Standard and variational approach. 1. Harzer Ab initio Workshop, Clausthal-Zellerfeld (2006)
Wahn, M.; Neugebauer, J.: The Bandgaps of GaN and InN in Zinc-blende and Wurtzite Phase: DFT Calculations Using the Exact Exchange (EXX) Functional. Workshop Forschergruppe Bremen, Bad Bederkesa, Germany (2005)
Wahn, M.; Neugebauer, J.: Generalized Wannier functions: An accurate and efficient way to construct ab-initio tight-binding orbitals. DPG-Tagung, Berlin, Germany (2005)
Wahn, M.; Neugebauer, J.: Generalized Wannier Functions: An efficient way to construct ab-initio tight-binding orbitals for group-III nitrides. 6th International Conference on Nitride Semiconductors, Bremen, Germany (2005)
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.