ATOSENS

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. ​