Inkjet‐Printed Ag/a‐TiO ₂ /Ag Neuromorphic Nanodevice Based on Functionalized Ink

This study aims to contribute the burgeoning field of brain-inspired computing by expanding it beyond conventional fabrication methods. Herein, obstacles toward effective inkjet printing process are encountered and electrical characteristics explored, providing new insights into reliability aspects fully printed Ag/a-TiO2/Ag electronic synapses. The versatility approach is further enhanced highly stable in-house-developed a-TiO2 ink, exhibiting optimal shelf life five months repeatable jetting, producing layers with nanoscale thickness resolution. Most importantly, device characterization reveals synaptic dynamics, leading activity-dependent conductance state retention adaptation characteristics, implying inherent learning capabilities. dynamics attained solely adjusting duty cycle applied pulsed voltage trigger, while keeping amplitude polarity fixed, a method readily compatible realistic applications. Furthermore, I–V analysis demonstrates dynamic range dependence on layer conduction mechanism that akin conventionally developed TiO2 devices provide time- cost-effective ecologically benign alternative biomimetic signal processing for future flexible neural networks.