Ismer, L.; Hickel, T.; Neugebauer, J.: Effect of interstitial carbon on the magnetic structure of fcc iron: Towards an ab-initio understanding of austenitic steels. DPG Spring Meeting 2009, Dresden, Germany (2009)
Körmann, F.; Dick, A.; Grabowski, B.; Hickel, T.; Neugebauer, J.: The free energy of iron: Integrated ab initio derivation of vibrational, electronic, and magnetic contributions. DPG Spring Meeting 2009, Dresden, Germany (2009)
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)
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
Integrated Computational Materials Engineering (ICME) is one of the emerging hot topics in Computational Materials Simulation during the last years. It aims at the integration of simulation tools at different length scales and along the processing chain to predict and optimize final component properties.
The project’s goal is to synergize experimental phase transformations dynamics, observed via scanning transmission electron microscopy, with phase-field models that will enable us to learn the continuum description of complex material systems directly from experiment.
In order to prepare raw data from scanning transmission electron microscopy for analysis, pattern detection algorithms are developed that allow to identify automatically higher-order feature such as crystalline grains, lattice defects, etc. from atomically resolved measurements.
The general success of large language models (LLM) raises the question if they could be applied to accelerate materials science research and to discover novel sustainable materials. Especially, interdisciplinary research fields including materials science benefit from the LLMs capability to construct a tokenized vector representation of a large…