65 citations · 208 across the 14 of their papers we have counts for
15 papers
Brain-inspired polymer dendrite networks for morphology-dependent computing hardware
Scholaert Corentin, Coffinier Yannick, Pecqueur Sébastien +1
Variability has always been a challenge to mitigate in electronics. This especially holds true for organic semiconductors, where reproducibility and long-term stability concerns hi…
A Temporal Filter to Extract Doped Conducting Polymer Information Features from an Electronic Nose
Wiem Haj Ammar, Aicha Boujnah, Antoine Baron +4
Identifying relevant machine-learning features for multi-sensing platforms is both an applicative limitation to recognize environments and a necessity to interpret the physical rel…
Steady vs. Dynamic Contributions of Different Doped Conducting Polymers in the Principal Components of an Electronic Nose's Response
Wiem Haj Ammar, Aicha Boujnah, Aimen Boubaker +3
Multivariate data analysis and machine-learning classification become popular tools to extract features without physical models for complex environments recognition. For electronic…
Bio-inspired adaptive sensing through electropolymerization of organic electrochemical transistors
Mahdi Ghazal, Michel Daher Mansour, Corentin Scholaert +4
Organic Electrochemical Transistors are considered today as a key technology to interact with biological medium through their intrinsic ionic-electronic coupling. In this paper, we…
Mildly-Doped Polythiophene with Triflates for Molecular Recognition
Aicha Boujnah, Aimen Boubaker, Adel Kalboussi +2
Organic semiconductors have enough molecular versatility to feature chemo-specific electrical sensitivity to large families of chemical substituents via different intermolecular bo…
Dendritic organic electrochemical transistors grown by electropolymerization for 3D neuromorphic engineering
Kamila Janzakova, Mahdi Ghazal, Ankush Kumar +3
One of the major limitation of standard top-down technologies used in today's neuromorphic engineering is their inability to map the 3D nature of biological brains. Here, we show h…