TU München, Physik-Department, LS Funktionelle Materialien
Author in the following contributions
- Investigating gold deposition of HiPIMS and dcMS on Polystyrene, Poly-4-vinylpyridine and Polystyrenesulfonicacid
- Biopolymer-Templated Deposition of Hierarchical 3D-Structured Graphene Oxide/Gold Nanoparticle Hybrids for Surface-Enhanced Raman Scattering
- In situ GISAXS investigation of sputtering IZO thin film for optoelectronic applications
- Versatile Inverse Problem Framework
- The effect of a sputter-deposited TiOx interface modification layer on perovskite solar cells
- Operando GIWAXS Observation of the Stabled degradation process of Green-solvent Based PBDB-TF-T1: BTP-4F-12 Organic Solar Cells with EH-P as Solid Additive
- EFFECT OF PEROVSKITE NANOCRYSTAL NUCLEATION SEEDS ON MICROSTRUCTURE AND CRYSTALLIZATION PATHWAYS IN ORGANIC-INORGANIC HALIDE PEROVSKITE THIN FILMS
- A solid-state electrolyte interface layer-amphiphilic polymer/metal composite nanoarray for lithium metal battery
- Characterization of Mesoporous Zinc Titanate Hybrid Films Using Grazing Incidence Small-angle X-ray Scattering
- In Situ GIWAXS of Slot-Die Coated Perovskite Quantum Dot Thin-Films
- Revealing the effect of solvent additive selectivity on the formation kinetics in printed active layers for organic solar cells
- In situ study of morphology evolution of block copolymer templated metal oxide films
- Machine Learning (ML)-Assisted Fabrication and Scattering data for Solar Cells
- Enhanced air stability of Tin‑Based Perovskite Solar Cells with Quercetin
- Operando study on structure-activity relationship between electrolyte components and electrochemical performance for all-solid-state lithium-ion batteries
- In situ GISAXS investigation of ternary hybrid diblock copolymer thin films containing two types of magnetic nanoparticles
- Grazing-Incidence X-ray Scattering Data for Machine Learning of Neural Networks
- Analyzing Large Grazing-Incidence X-Ray Scattering Datasets Using INSIGHT
