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Item type:Research Data, Access status: with files , How Nanoporous Silicon-Polypyrrole Hybrids Flex Their Muscles in Aqueous Electrolytes: In Operando High-Resolution X-Ray Diffraction and Electron Tomography-Based Micromechanical Computer Simulations(2022-10-28); ; ; ; Dataset that contains different data on an in situ, combined electrochemical and x-ray diffraction investigation of the electrochemical actuation of a polypyrrole-filled porous silicon hybrid material. The pores of nanoporous silicon are filled by the electroactive polymer polypyrrole. An applied potential to the hybrid material immersed in an electrolyte solution leads to an incorporation of ions into the polymer and an expansion of the whole hybrid material. This electrochemical actuation is investigated by x-ray diffraction experiments, in which the lattice constant of the highly mono-crystalline porous silicon host material is studied with respect to the actuation. The dataset contains the electrochemical and the x-ray datasets. Moreover, a transmission electron microscopy tomography is performed on the polypyrrole-porous silicon hybrid material to obtain a three-dimensional model. This tomography reconstruction is included in the dataset. It can be transformed into an FEM model so that the actuation-induced strains and stresses in the complex porous silicon host structure can be studied and compared to the experimentally gained insights.Data Type: Dataset169 182 - Some of the metrics are blocked by yourconsent settings
Item type:Research Data, Access status: with files , A dataset combining microcompression and nanoindentation data from finite element simulations of nanoporous metals(2021-04-02)Nanoporous metals with their complex microstructure represent an ideal candidate for method developments that combine physics, data and machine learning. They allow to tune the solid fraction, ligament size and connectivity density within a large range. These microstructural parameters have a large impact on the macroscopic mechanical properties. This makes this class of materials an ideal science case for the development of strategies for dimensionality reduction, supporting the analysis and visualization of the underlying structure-property relationships. Efficient finite element beam modeling techniques are used to generate ~200 data sets for macroscopic compression and nanoindentation of open pore nanofoams. A data base is provided that uses consistent settings of structural and mechanical properties on the microscale for which the elastic-plastic macroscopic compression behavior and the hardness is predicted. Ligament geometries of two different initial solid fractions are chosen, for which the structural randomization, the connectivity density, the yield stress and the work hardening rate are randomly varied in large ranges. This data base allows deriving the microstructure-properties relationships of nanoporous metals by means of dimensionality reduction, data mining and machine learning.Data Type: Dataset349 346 - Some of the metrics are blocked by yourconsent settings
Item type:Research Data, Access status: with files , Mechanical properties of zircon for varying degree of amorphization predicted by finite element simulations(2020-08-25); The level-cut Gaussian random field approach based on standing waves is used to generate bi-phase microstructures of arbitrary phase fraction. Finite Element voxel models based on such microstructures are employed to predict the mechanical properties of zircon (ZrSiO4) for varying degree of amporphization from 0 to 100% with percolation transitions at 15.9 and 84.1%. Between the percolation transitions, the microstructure is bi-continuous. The numerical simulations provide values for the volumetric swelling, density, Young´s modulus, Poisson´s ratio, yield stress, and hardness as function of the amorphous phase fraction. For achieving a fit with nanoindentation hardness data in the literature, the micromechanical model additionally considers an interface between the amorphous and the crystalline phase that can be adjusted in thickness. Yield stress and hardness data are predicted for different values of interface thickness. The repository contains the simulation results as well as the literature data used for comparison.Data Type: Dataset380 235 - Some of the metrics are blocked by yourconsent settings
Item type:Research Data, Access status: with files , Giant Piezoelectrolytic Actuation in a Nanoporous Silicon-Polypyrrole Hybrid Material(2020-05-22); ; ; ; Data for the publication "Giant Piezoelectrolytic Actuation in a Nanoporous Silicon-Polypyrrole Hybrid Material" as well as a detailed description of the datasets.Data Type: Dataset508 198