Betzler, S. B.; Koh, A. L.; Lotsch, B. V.; Sinclair, R.; Scheu, C.: Atomic Resolution Observation of the Oxidation of Niobium Nanowires: Implications for Renewable Energy Applications. ACS Applied Nano Materials 3 (9), pp. 9285 - 9292 (2020)
Zhang, S.; Diehl, L.; Wrede, S.; Lotsch, B. V.; Scheu, C.: Structural Evolution of Ni-Based Co-Catalysts on [Ca2Nb3O10]− Nanosheets during Heating and Their Photocatalytic Properties. Catalysts 10 (1), 13 (2020)
Zhang, S.; Diehl, L.; Lotsch, B. V.; Scheu, C.: Photocatalysts, cocatalysts, and a case study on their structural design. 1st International Meeting on Alternative & Green Energies, Mohammedia, Morocco (2018)
Zhang, S.; Diehl, L.; Lotsch, B. V.; Scheu, C.: In-situ heating study on the growth of NiOx nanoparticles on photocatalytic supports. International GRK 1896 Satellite Symposium “In Situ Microscopy with Electrons, X-rays and Scanning Probes, Erlangen, Germany (2017)
Zhang, S.; Diehl, L.; Lotsch, B. V.; Scheu, C.: NiOx cocatalysts on nanosheets for photocatalytic water splitting. nanoGe Fall Meeting 2018, Torremolinos, Spain (2018)
Gänsler, T.: Synthesis Approaches to Nb3O7(OH) Nanostructures and New Studies on Their Growth Mechanism. Master, Ludwig-Maximilians-Universität, München, Germany (2018)
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
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 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…
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.
While Density Functional Theory (DFT) is in principle exact, the exchange functional remains unknown, which limits the accuracy of DFT simulation. Still, in addition to the accuracy of the exchange functional, the quality of material properties calculated with DFT is also restricted by the choice of finite bases sets.