Results & Downloads
D11.1 – Plan for dissemination and exploitation incl. communication activities
This document provides detailed information about the AMUSENS project communication, dissemination and exploitation strategy plans, with examples of outcomes implemented from start of the project until M06.
Paper
A Study of 355 Nm UV Laser Ablation Process for Singulation of Silicon Wafers published in 2025 25th European Microelectronics and Packaging Conference & Exhibition (EMPC)
Authors: S. Stoukatch, F. Dupont and J. -M. Redouté
Poster
Novel Multi Pixel-based Gas Sensor Fabricated by Local Inkjet Printing of Metal-oxides Structures published at Eurosensors 2025
Authors: A. Debot, V. Rogé, S. Glinsek, S. Girod, N. Adjeroud, R. Leturcq – Luxembourg Institute of Science and Technology, Belvaux (Luxembourg), H. Pakdel, D. Zappa – University of Brescia, Brescia (Italy), I. Boehme – Sciosense Germany GmbH, Reutlingen (Germany)
Poster
Development of wafer singulation technique for MEMS and MOX gas sensors using 355 nm UV laser ablation process published at Eurosensors 2025
Authors: S. Stoukatch, F. Dupont, J. -M. Redouté – Liege University, Liège (Belgium)
Poster
The Dimensionality of MOX Sensors in Air Quality assessment published at Eurosensors 2025
Authors: L. Miranda, B. Dorizzi, M. Hariz, D. Petrovska, J. Boudy – Télécom SudParis, Palaiseau (France), N. Redon, C. Duc, M. Verriele – IMT Nord Europe, Douai (France), J. Montalvão – Universidade Federal de Sergipe, São Cristóvão (Brazil)
D6.3 – Report on user needs for the development of a single sensor
Deliverable D6.3, Report on User Needs for the Development of a Single Sensor, presents the outcomes of Task 6.5 within Work Package 6 of the AMUSENS project. Its primary objective is to identify and translate user needs, expectations, and challenges into actionable requirements for the development of a single multi-material sensor and its associated digital ecosystem. This user-centred evidence base supports a responsible and socially aligned technological development process, ensuring that the AMUSENS platform is technically robust, ethically grounded, and fit for real-world adoption across environmental and health-related applications.
D6.2 – Algorithm for the selection of most promising materials by AI
Deliverable 6.2 presents the outcomes of Task 6.4, which focuses on developing AI-based tools to identify the most promising combinations of sensing materials and operating parameters for the AMUSENS multi-pixel gas sensor platform. The main objective of this work was to develop a set of tools capable of selecting optimal combinations of sensing materials and their operating parameters in order to maximize the ability to discriminate and detect individual target gases. Building on the database produced in Task 6.3, this deliverable introduces a complete methodological and software pipeline capable of transforming long raw time-series measurements into an AI-ready dataset, extracting meaningful features, and applying feature-selection strategies to rank sensing materials according to their contribution to gas discriminability.
D6.1 – Database of gas sensing responses
This report describes the content of the Database of sensing materials and their sensing responses, which is produced within AMUSENS project to collect the references to all materials, samples and measurements performed during the project. The first version of the database is the result of WP5 and WP6, for which the materials, devices and measurements, where performed to assess the sensing performances of the various developed materials as a function of their characteristics. This is a document that will be completed all along the project to track all the produced samples and measurements. The database containing the metadata of the measurement with reference to measurement files is published on Zenodo repository under the DOI: 10.5281/zenodo.17881917.
D1.1 – Project Quality Plan
The Project Quality Plan shows how quality aspects are taken into account in a variety of processes and activities within the AMUSENS project.
Factsheet No 2 – Additive Manufacturing for gas sensor fabrication
Download Factsheet No 2: Additive Manufacturing for gas sensor fabrication
Discover our second AMUSENS factsheet to learn how multipixel gas sensors are revolutionizing gas detection with their ability to identify multiple gases simultaneously using advanced AI and machine learning. These sensors leverage innovative fabrication techniques like inkjet printing and Direct Atomic Layer Processing (DALP) for efficient, scalable production with minimal waste.
Factsheet No 1 – How technology helps individuals track air pollutant exposure
Download Factsheet No 1: How technology helps individuals track air pollutant exposure
Indoor air quality (IAQ) is an invisible yet crucial factor impacting our health every day! Discover our first AMUSENS factsheet to learn about hidden indoor pollutants, user needs for next-generation sensors, the expected benefits of advanced monitoring technologies, and the next steps driving the AMUSENS project forward.
AMUSENS 2nd Newsletter Issue
The second issue of the AMUSENS newsletter is now available. Download it to get an overview of the project status and achievements.
AMUSENS 1st Newsletter Issue
The first issue of the AMUSENS newsletter is now available. Download it to get an overview of the project status and the first achievements.
Presentation
Advanced wafer singulation techniques for miniaturized metal-oxide (MOX) micro-hotplates based gas analyzer published in 2024 IEEE 10th Electronics System-Integration Technology Conference (ESTC)
Authors: Serguei Stoukatch, Francois Dupont and Jean-Michel Redouté.
AMUSENS Leaflet
The official leaflet of the AMUSENS project is available, containing project information, vision, goals of the project and more.
AMUSENS Announcement Letter
Find out more about the AMUSENS project in the official announcement letter.