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Secondment from Kaunas University of Technology (KTU) to Instituto de Telecomunicações (IT) – WP2

TetraNET secondments 2026

Simas Raškauskas (Kaunas University of Technology) completed a full-time secondment at Instituto de Telecomunicações (IT), from 2026-07-08 to 2026-07-26, under Work Package 2, Task 2.1. The secondment focused on structural characterization of ZnO tetrapod networks (TNs) using XRD, SEM, and AFM techniques, and analysis of structure-function relationships for neuromorphic device applications, with the expected deliverable being a characterization dataset and report on structural and morphological properties.

The researcher performed structural characterization of ZnO TNs using X-ray diffraction (XRD), conducted morphological analysis by scanning electron microscopy (SEM), and investigated surface topography and roughness using atomic force microscopy (AFM). Experimental data was analysed and interpreted to identify structure-property relationships, contributing to the assessment of ZnO TN suitability for neuromorphic device applications. The stay also included participation in research group meetings and internal seminars on advanced materials characterization, along with a presentation of progress and preliminary results to host institution researchers.

Simas Račkauskas presenting a talk titled "Self-assembled ZnO nano-tetrapod network for neuromorphic computing" standing at a podium next to a presentation slide display.

Training received covered advanced XRD data acquisition and analysis methods for nanostructured materials, SEM imaging and morphology evaluation of semiconductor nanostructures, AFM operation and surface roughness analysis, and data interpretation linking structural and functional material properties.

Four men wearing light blue lab coats seated side-by-side at a conference table with water bottles and glasses placed in front of them.

As a result, the researcher acquired comprehensive datasets describing the crystal structure, morphology, and surface characteristics of ZnO TNs, improved understanding of structure-performance relationships, and enhanced expertise in advanced characterization techniques and data analysis, generating results supporting the optimization of ZnO TNs for neuromorphic applications. For the project, this provided reliable structural and morphological data for developing ZnO TN-based neuromorphic devices, strengthened collaboration and knowledge exchange between partners, contributed to establishing structure-property relationships needed for device optimization, and supported the scientific objectives of Task 2.1 and the overall project goals.

Three colleagues sitting and standing around a meeting table in front of a whiteboard covered in mathematical equations and diagrams.

8th of July, 2026 - 26th of July, 2026

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