Hickel, T.; Uijttewaal, M.; Grabowski, B.; Neugebauer, J.: Determination of symmetry reduced structures by a soft-phonon analysis in Ni2MnGa. MRS Fall Meeting 2007, Boston, MA, USA, November 26, 2007 - November 30, 2007. Magnetic Shape Memory Alloys, (2008)
Nikolov, S.; Sachs, C.; Fabritius, H.; Raabe, D.; Petrov, M.; Friak, M.; Neugebauer, J.; Lymperakis, L.; Ma, D.: Hierarchical modeling of the mechanical properties of lobster cuticle from nano‐ up to macroscale: The influence of the mineral content and the microstructure. In: Proceedings of MMM 2008 "Computational Modeling of biological and soft condensed matter systems", pp. 667 - 670. 4th International Conference on Multiscale Materials Modeling, Tallahassee, FL, USA, October 27, 2008 - October 31, 2008. Dep. of Scientific Computing, Florida State University, USA (2008)
Kenmoe, S.; Todorova, M.; Biedermann, P. U.; Neugebauer, J.: Impact of the vapour pressure of water on the equilibrium shape of ZnO nanoparticles: An ab-initio study. In APS March Meeting 2014, abstract #Q2.009. APS March Meeting 2014 , Denver, CO, USA, March 03, 2014 - March 07, 2014. (2014)
Kenmoe, S.; Todorova, M.; Biedermann, P. U.; Neugebauer, J.: Impact of the vapour pressure of water on the equilibrium shape of ZnO nanoparticles: An ab-initio study. In DPG Spring Meeting 2014, Abstract: O50.6. DPG Spring Meeting 2014 , Dresden, Germany, March 30, 2014 - April 04, 2015. (2014)
Dsouza, R.; Huber, L.; Swinburne, T. D.; Neugebauer, J.: Sampling-free thermodynamics in bulk crystalline metals from the mean-field anharmonic bond model. The 11th International Conference on Multiscale Materials Modeling, Prague, Czech Republic (2024)
Todorova, M.; Surendralal, S.; Deißenbeck, F.; Wippermann, S. M.; Neugebauer, J.: Atomic insights into fundamental processes at electrochemical solid/liquid interface by ab initio calculations. 38th Topical Meeting of the International Society of Electrochemistry: Nanomaterials in Electrochemistry, Manchester, UK (2024)
Todorova, M.; Surendralal, S.; Deißenbeck, F.; Wippermann, S. M.; Neugebauer, J.: Ab Initio Calculations for electrified solid/liquid interfaces – Challenges, insights and Opportunities. GRC Aqueous Corrosion: Corrosion Challenges and Opportunities for the Energy Transition, New London, NH, USA (2024)
Freysoldt, C.; Katnagallu, S.; Neugebauer, J.; Mishra, A.; Ashton, M. W.: Perspectives for machine learning applied to data-rich experiments on complex materials. Workshop on local probes of chemical bonding and atom probe tomography at RWTH Aachen, Aachen, Germany (2024)
Neugebauer, J.; Deißenbeck, F.; Wippermann, S. M.; Todorova, M.: Getting the Electrochemical Interface into an Ab Initio Supercell. CECAM workshop "Electrochemical Interfaces in Energy Storage: Advances in Simulations, Methods and Models", Lausanne, Switzerland (2024)
Feng, S.; Gong, Y.; Neugebauer, J.; Raabe, D.; Liotti, E.; Grant, P. S.: Multi-technique investigation of Fe-rich intermetallic compounds for more impurity-tolerant Al alloys. Annual Meeting of DPG and DPG-Frühjahrstagung (DPG Spring Meeting) of the Condensed Matter Section (SKM) 2024, Berlin, Germany (2024)
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
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…
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…
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…