NEURALSENS brings together three Slovak research institutions with complementary expertise in sensing materials, device fabrication, electrical characterisation and Sensory Neural Network design.
The Institute of Electrical Engineering, Slovak Academy of Sciences, coordinates the project. Each institution leads one work package, and all three participate in the research across KPB1, KPB2 and KPB3.
Institute of Electrical Engineering, Slovak Academy of Sciences
IEE-SAS · Applicant and project coordinator · KPB3 lead
IEE-SAS coordinates NEURALSENS and leads KPB3 — SeNN laboratory prototype, which connects sensing-element technology with crossbar-array design and prototype integration.
Its project responsibilities include:
- Preparation of thin films and sensing structures using atomic layer deposition (ALD) and complementary fabrication processes.
- Design and fabrication of crossbar-array structures.
- Electrical characterisation and materials analysis of individual devices and arrays.
- Collaboration on temperature-sensing structures and the integration of SeNN design requirements into sensing hardware.
The institute contributes expertise in semiconductor devices, oxide materials, memristors, microfabrication and electrical measurements.
Project coordinator and IEE-SAS team leader: Boris Hudec.
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Comenius University in Bratislava
Faculty of Mathematics, Physics and Informatics
CUB · Partner 1 · KPB1 lead
CUB leads KPB1 — H₂ sensing element, focusing on the development and characterisation of hydrogen-sensitive structures suitable for the SeNN concept.
Its project responsibilities include:
- Fabrication and investigation of Pt/TiO₂-based hydrogen-sensing structures.
- Measurement of gas-sensing responses and electrical transport properties.
- Microscopic, structural and compositional characterisation of sensing materials.
- Provision and interpretation of experimental sensing data for network design and prototype evaluation.
The team contributes expertise in thin-film preparation, hydrogen sensing and the physical mechanisms connecting material properties, device structure and sensor response.
CUB team leader: Tomáš Plecenik.
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Institute of Informatics, Slovak Academy of Sciences
II-SAS · Partner 2 · KPB2 lead
II-SAS leads KPB2 — SeNN algorithm, focusing on the methodology for modelling and designing sensor-dependent neural networks.
Its project responsibilities include:
- Development of SeNN simulation and design methods.
- Investigation of the relationship between sensing-element responses and network parameters.
- Electrode-layout design and lithographic patterning of sensor structures.
- Collaboration on fabrication and experimental characterisation.
- Development and public provision of the D2.3 SeNN simulation software.
The institute contributes expertise in neural-network modelling, electron-beam and maskless lithography, micro- and nanofabrication, and sensor technologies.
II-SAS team leader: Robert Andok.
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How the partners work together
The research connects device preparation, experimental measurements and network design. Fabricated sensing structures provide data for modelling; the resulting network requirements guide electrode geometry, array layouts and further fabrication.
This exchange links the three work packages and combines the partners’ capabilities throughout the project. Work-package leadership identifies coordination responsibility, while individual research activities and outputs may involve several institutions.
The Project Overview describes the research objectives and work packages. Publications, conference contributions, software and other outputs are presented under Results & Deliverables.