BOOK-CHAPTER

Smart Sensor Arrays

Abstract

Abstract Sensors play a crucial role in our everyday life and will become more and more demanded with the transition towards smart cities and the “Internet of Things” with the result of an ever-increasing energy demand. Thus, the research of improving the energy efficiency of sensor systems has started to move towards edge computing and neuromorphic engineering while at the same time additive manufacturing has gained increasing attention as a means for a rapid, scalable fabrication of functional devices yet with huge design freedom and quick iteration cycles during the development phase. In this chapter the junction of pre-designed components with self-organizing material systems for the facile fabrication of sensor devices via direct ink writing is demonstrated. As examples 3D-printed CuO/Cu 2 O/Cu- and CuO/Fe 2 O 3 acetone gas sensors are shown, as well as how the decoration of metal-oxide semiconducting sensor materials with noble metallic nanoparticles can enhance the sensor properties with respect to sensitivity, selectivity and stability. Finally, the assembly of conductive bridges between electrodes stimulated by voltage pulses is introduced as an approach towards facilitating the self-organization of neuromorphic circuits.

Keywords:
Neuromorphic engineering Fabrication Materials science Scalability Nanotechnology Electronic circuit Sensitivity (control systems) Inkwell Computer science Electrical engineering Electronic engineering Engineering Artificial neural network

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
45
Refs
0.42
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Gas Sensing Nanomaterials and Sensors
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Memory and Neural Computing
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Transition Metal Oxide Nanomaterials
Physical Sciences →  Materials Science →  Polymers and Plastics

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