Jentner, R.; Tsai, S.-P.; Welle, A.; Scholl, S.; Srivastava, K.; Best, J. P.; Kirchlechner, C.; Dehm, G.: Automated classification of granular bainite and polygonal ferrite by electron backscatter diffraction verified through local structural and mechanical analyses. Journal of Materials Research 38, pp. 4177 - 4191 (2023)
Gallardo-Basile, F.-J.; Roters, F.; Jentner, R.; Best, J. P.; Kirchlechner, C.; Srivastava, K.; Scholl, S.; Diehl, M.: Application of a nanoindentation-based approach for parameter identification to a crystal plasticity model for bcc metals. Materials Science and Engineering A: Structural Materials Properties Microstructure and Processing 881, 145373 (2023)
Dubosq, R.; Woods, E.; Gault, B.; Best, J. P.: Electron microscope loading and in situ nanoindentation of water ice at cryogenic temperatures. PLoS One 18 (2), e0281703 (2023)
Shi, J.; Ma, S.; Best, J. P.; Stolpe, M.; Wei, S.; Zhang, P.; Markert, B.: Gradient-enhanced modelling of deformation-induced anisotropic damage in metallic glasses. Journal of the Mechanics and Physics of Solids 167, 105020 (2022)
Vieira Rielli, V.; Theska, F.; Yao, Y.; Best, J. P.; Primig, S.: Local composition and nanoindentation response of δ-phase and adjacent γ′′-free zone in a Ni-based superalloy. Materials Research Letters 10 (5), pp. 301 - 309 (2022)
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 collaboration with Dr. Edgar Rauch, SIMAP laboratory, Grenoble, and Dr. Wolfgang Ludwig, MATEIS, INSA Lyon, we are developing a correlative scanning precession electron diffraction and atom probe tomography method to access the three-dimensional (3D) crystallographic character and compositional information of nanomaterials with unprecedented…
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.
This project will aim at addressing the specific knowledge gap of experimental data on the mechanical behavior of microscale samples at ultra-short-time scales by the development of testing platforms capable of conducting quantitative micromechanical testing under extreme strain rates upto 10000/s and beyond.
In 2020, an interdepartmental software task force (STF) was formed to serve as a forum for discussion on topics related to software development and digital workflows at the MPIE. A central goal was to facilitate interdepartmental collaboration by co-developing and integrating workflows, aligning internally developed software, and rolling out…