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  1. Friedrich-Alexander-Universität
  2. Technische Fakultät

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      • Research Areas
        • Research Area A „Nanostructured functional films“
        • Research Area B „Hierarchical functional materials“
        • Research Area C „Data and Processing“
    Portal Call for 13 PhD Positions
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    Portal Call for 13 PhD Positions
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    Portal Call for 13 PhD Positions
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    Portal Call for 13 PhD Positions
  1. Startseite
  2. Project Descriptions
  3. Research Areas
  4. Research Area A „Nanostructured functional films“
  5. A5: Correlative Electron Microscopy and Optical Spectroscopy for Accelerated Organic Solar Cell Design

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

Bereichsnavigation: Project Descriptions
  • Research Areas
    • Research Area A "Nanostructured functional films"
      • A1: Correlative 4D-STEM Studies of Functional Thin Films in TEM and SEM
      • A2: Correlative Raman Spectroscopy and TEM Imaging of Defects in 2D Semiconductors
      • A3: Electrochemical Writing and Correlative Characterization of Thin-Film Electrodes
      • A4: Correlative Microscopy and Functional Analysis of Atomic-Layer-Processed Thin-Film Solar Cells
      • A5: Correlative Electron Microscopy and Optical Spectroscopy for Accelerated Organic Solar Cell Design
    • Research Area B "Hierarchical functional materials"
    • Research Area C "Data and Processing"

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

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

This doctoral project aims to integrate microscopic structure information into automated materials optimization workflows for organic solar cells (OSCs). Building on an existing autonomous thin-film processing and characterization platform (AMANDA), the candidate will combine optical spectroscopy with high-resolution electron and X-ray diffraction techniques to establish direct correlations between microstructure and device performance. Structural descriptors derived from microscopy will be incorporated into AI- and physics-based models to improve predictive power and enable data-driven materials design. A key objective is to qualify optical spectroscopy as a fast, non-destructive proxy for microscopic structure. The work will involve developing dose-efficient data fusion strategies to mitigate beam damage and exploit sparse data effectively. The resulting workflow will enhance materials discovery by linking structure, processing, and performance in an interpretable and scalable way, supporting broader CorMic research on functional thin films.

Supervisor

CB
Prof. Dr. Christoph BrabecE-Mail: christoph.brabec@fau.de
Friedrich-Alexander-Universität
Erlangen-Nürnberg

Freyeslebenstraße 1
91058 Erlangen
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