Photocatalytic Growth and Chemical Dissolution of Gold Structures for Advanced Neuromorphic Systems

This dissertation explores the photocatalytic growth and chemical dissolution of gold structures on titanium dioxide (TiO₂) substrates, focusing on their potential as foundational building blocks for neuromorphic systems. Neuromorphic engineering aims to replicate the adaptability and connectivity of biological neural networks, with the goal of advancing bio-inspired computing architectures.

The research investigates UV-stimulated photocatalytic processes to drive the localized growth of conductive gold lines on TiO₂ templates, offering a method to form axon-like connections. Complementarily, chemical dissolution using potassium iodide (KI) enables selective pruning of these structures, providing a framework for adaptive reconfiguration. By alternating growth and pruning, the study introduces a material-based approach to mimic neural plasticity, laying groundwork for future neuromorphic devices.

Key findings include the identification of critical parameters such as UV intensity, precursor concentration, and substrate architecture, which govern the morphology and connectivity of the gold structures. Advanced configurations, including patterned TiO₂ templates and microfluidic systems, were explored to enhance precision and functionality. These developments demonstrate the potential for creating adaptive and reconfigurable structures, contributing to the broader field of neuromorphic engineering.

This dissertation contributes to the understanding of photocatalytic growth and dissolution processes, providing insights that could contribute to the development of neuromorphic systems. The findings highlight the importance of dynamic material systems as building blocks for adaptive networks, advancing the exploration of bio-inspired computing architectures.

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