Leading the way in smart sensors This project addresses the needs for novel process technologies considering circular economy with minimized waste and use of critical materials, and the need for new smart sensors with in-sensor data processing for the rising hydrogen energy infrastructure. Objectives: Using new rapid on-demand prototyping fab-less fabrication method of atomic layer additive manufacturing (ALAM) we will fabricate a matrix of non-identical microscopic TiO2-based hydrogen sensing elements, arranged into pre-programmed hardware neural network (HNN). Potential applications: The first application is a fully ALAM-printed prototype of a smart Pt/TiO2-based low-power hydrogen sensor with low-level in-sensor data processing, developed in this project. Impact and potential benefits: Wider adoption of ALAM technology, which we will pursue through the open innovation hub framework, where rapid prototyping of various ALAM-printed HNN designs from stakeholders will be encouraged.
Public Funding Project ATOSENS
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