Marquardt, O.; Hickel, T.; Neugebauer, J.: Application of an eight-band k.p model to study III-nitride semiconductor. DPG Spring Meeting 2009, Dresden, Germany (2009)
Hickel, T.; Uijttewaal, M.; Neugebauer, J.: First principles determination of phase transitions in magnetic shape memory alloys. APS March Meeting, Pittsburgh, PA, USA (2009)
Marquardt, O.; Hickel, T.; Neugebauer, J.: Investigation of group III-nitride semiconductor nanostructures using an eight-band k.p formalism. APS March meeting, Pittsburgh, PA, USA (2009)
Hickel, T.; Uijttewaal, M.; Neugebauer, J.: Ab initio investigation of temperature dependent effects in magnetic shape memory Heusler alloys. SPP 1239 Convention, Duisburg, Germany (2009)
Hickel, T.: Computational Phase Studies: Deriving free energies and phase transitions from first principles. MRS 2009 Fall Meeting, Boston, MA, USA (2009)
Marquardt, O.; Hickel, T.; Neugebauer, J.: Modeling of electronic and optical properties of GaN/AlN quantum dots by using the k.p-method. Bremen DFG Forschergruppe: Workshop in Riezlern, Riezlern, Austria (2008)
Dick, A.; Hickel, T.; Neugebauer, J.: First Principles Predictions of Mechanical Properties of FeMn-Alloys. Workshop des SFB761, Beilngries, Germany (2008)
Aydin, U.; Ismer, L.; Hickel, T.: Ab initio study of trends in the thermodynamic and kinetic properties of H in 3d transition metals. Computational Materials Science Workshop, Ebernburg Castle, Germany (2008)
Körmann, F.; Dick, A.; Grabowski, B.; Hickel, T.; Neugebauer, J.: The free energy of bcc iron: Integrated ab initio derivation of vibrational, electronic, and magnetic contributions. Computational Materials Science Workshop, Ebernburg Castle, Germany (2008)
Marquardt, O.; Hickel, T.; Neugebauer, J.: Effect of strain and polarization on the electronic properties of 2-, 1- and 0-dimensional semiconductor nanostructures. Computational Materials Science Workshop, Ebernburg Castle, Germany (2008)
Uijttewaal, M.; Hickel, T.; Neugebauer, J.: Phase transformations of Ni2MnGa shape memory alloy from first principles: The (pre-)martensitic transition by phonons and magnons, Soft mode phase transformation by phonon couplings. Computational Materials Science Workshop, Ebernburg Castle, Germany (2008)
Grabowski, B.; Ismer, L.; Hickel, T.; Neugebauer, J.: Ab initio up to the melting point: An efficient thermodynamic integration scheme. Computational Materials Science Workshop, Ebernburg Castle, Germany (2008)
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 project HyWay aims to promote the design of advanced materials that maintain outstanding mechanical properties while mitigating the impact of hydrogen by developing flexible, efficient tools for multiscale material modelling and characterization. These efficient material assessment suites integrate data-driven approaches, advanced…
A novel design with independent tip and sample heating is developed to characterize materials at high temperatures. This design is realized by modifying a displacement controlled room temperature micro straining rig with addition of two miniature hot stages.
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
In this project we developed a phase-field model capable of describing multi-component and multi-sublattice ordered phases, by directly incorporating the compound energy CALPHAD formalism based on chemical potentials. We investigated the complex compositional pathway for the formation of the η-phase in Al-Zn-Mg-Cu alloys during commercial…
The Atom Probe Tomography group in the Microstructure Physics and Alloy Design department is developing integrated protocols for ultra-high vacuum cryogenic specimen transfer between platforms without exposure to atmospheric contamination.
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.