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        • Research Area A „Nanostructured functional films“
        • Research Area B „Hierarchical functional materials“
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    Portal Call for 13 PhD Positions
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Project Descriptions

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Project Descriptions

The Research Training Group “Correlative Materials Microscopy: From Nanostructured Functional Films to Hierarchical Functional Materials” (CorMic) trains the next generation of scientists and engineers in the interdisciplinary field of correlative microscopy – a key approach to understanding the complexity of modern functional materials and advancing their use in sustainable technologies such as photovoltaics, batteries, and hydrogen systems.

CorMic brings together doctoral researchers from materials science, chemistry, physics, chemical engineering, and data science to develop and combine cutting-edge microscopy and data-driven methods. By correlating complementary microscopy, spectroscopy, and scattering techniques, they establish fundamental structure–property relationships across multiple length scales.

The research focuses on two future directions of correlative microscopy: multimodal microscopy of nanostructured functional films (Research Area: A) and scale-bridging tomography of hierarchical functional materials (Research Area: B). Working on model systems such as thin-film solar absorbers and PEM electrolyzers, CorMic’s doctoral researchers advance sustainable materials development through an interdisciplinary approach that integrates experimentation, data science (Research Area: C), and materials design.

 

 


A1: Correlative 4D-STEM Studies of Functional Thin Films in TEM and SEM

Prof. Dr. Erdmann Spiecker
Dr. Johannes Will


A2: Correlative Raman Spectroscopy and TEM Imaging of Defects in 2D Semiconductors

Prof. Dr. Janina Maultzsch


A3: Electrochemical Writing and Correlative Characterization of Thin-Film Electrodes

Prof. Dr. Siow Woon Ng


A4: Correlative Microscopy and Functional Analysis of Atomic-Layer-Processed Thin-Film Solar Cells

Prof. Dr. Julien Bachmann


A5: Correlative Electron Microscopy and Optical Spectroscopy for Accelerated Organic Solar Cell Design

Prof. Dr. Christoph Brabec


B1: Correlative Atom Probe Tomography and Electron Tomography of Functional Nanostructures

Prof. Dr. Peter Felfer


B2: Correlative Electron Tomography and X-ray NanoCT for Hierarchical Functional Materials

Prof. Dr. Erdmann Spiecker


B3: 3D-nanoGPS – Scale-Bridging Tomography for Multimodal 3D Characterization of Hierarchical Materials

Prof. Dr. Silke Christiansen


B4: 3D Structure–Property Correlation in Structurally Colored Supraparticle Assemblies

Prof. Dr. Nicolas Vogel


B5: Correlative Electron and X-ray Tomography of Hierarchical Electrodes for Water Electrolysis

Dr. Andreas Hutzler
Prof. Dr. Simon Thiele


C1: Physics-Informed Data Fusion of 4D-STEM and Spectroscopic Signals for Functional Thin Films

Prof. Dr. Philipp Pelz


C2: Machine Learning for Multi-Scale and Multi-Modal Microscopy Data Analysis

Prof. Dr. Katharina Breininger


C3: AI-Driven Active Learning for Predictive Materials Design

Prof. Dr. Luca Ghiringhelli

 

Friedrich-Alexander-Universität
Erlangen-Nürnberg

Freyeslebenstraße 1
91058 Erlangen
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