Organic Electronic Classifiers for Sensing
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arXiv
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866908441861160960 |
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| author | Pecqueur, Sébastien |
| author_facet | Pecqueur, Sébastien |
| contents | This monograph describes nine years of research carried out at the Institute for Electronics, Micro-electronics and Nanotechnologies (IEMN), developed around defining a generic concept for detection, filling a void between metrological sensors and biological senses, sensing an environment's qualities along with their measurable properties in information generation technologies. The first chapter introduces fundamental notions of recognition for complex environments, such as for their chemistry, for which organic semiconductors can embed two new functionalities in consumer electronics. The second and third chapters mostly summarize contributions to the state-of-the-art literature on these matters: in the second chapter, on studying conducting polymers as both chemical detectors and conductimetric transducers, and the third chapter, on studying electropolymerization sensitivity to conceptualize evolutionary electronics. The fourth chapter presents several results on the conception of several "classifiers" exploiting both functionalities: in tasks aiming at integrating different sensitivities at a very small scale, at broadening sensing devices' receptive fields based on experience, and at physically engraving the experience data in a sensing hardware. Along with this monograph are also associated four appendices, summarizing different elements related to the context of this research. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_06660 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Organic Electronic Classifiers for Sensing Pecqueur, Sébastien Disordered Systems and Neural Networks This monograph describes nine years of research carried out at the Institute for Electronics, Micro-electronics and Nanotechnologies (IEMN), developed around defining a generic concept for detection, filling a void between metrological sensors and biological senses, sensing an environment's qualities along with their measurable properties in information generation technologies. The first chapter introduces fundamental notions of recognition for complex environments, such as for their chemistry, for which organic semiconductors can embed two new functionalities in consumer electronics. The second and third chapters mostly summarize contributions to the state-of-the-art literature on these matters: in the second chapter, on studying conducting polymers as both chemical detectors and conductimetric transducers, and the third chapter, on studying electropolymerization sensitivity to conceptualize evolutionary electronics. The fourth chapter presents several results on the conception of several "classifiers" exploiting both functionalities: in tasks aiming at integrating different sensitivities at a very small scale, at broadening sensing devices' receptive fields based on experience, and at physically engraving the experience data in a sensing hardware. Along with this monograph are also associated four appendices, summarizing different elements related to the context of this research. |
| title | Organic Electronic Classifiers for Sensing |
| topic | Disordered Systems and Neural Networks |
| url | https://arxiv.org/abs/2507.06660 |