Your browser doesn't support javascript.
loading
Multimodal force and temperature tactile sensor based on a short-channel organic transistor with high sensitivity.
Mascia, Antonello; Spanu, Andrea; Bonfiglio, Annalisa; Cosseddu, Piero.
Afiliação
  • Mascia A; Department of Electrical and Electronic Engineering, University of Cagliari, via Marengo, Cagliari, 09123, Italy.
  • Spanu A; Department of Science, Technology and Society, Scuola Universitaria Superiore IUSS, Palazzo del Broletto, Piazza della Vittoria 15, Pavia, 27100, Italy.
  • Bonfiglio A; Department of Electrical and Electronic Engineering, University of Cagliari, via Marengo, Cagliari, 09123, Italy.
  • Cosseddu P; Department of Science, Technology and Society, Scuola Universitaria Superiore IUSS, Palazzo del Broletto, Piazza della Vittoria 15, Pavia, 27100, Italy.
Sci Rep ; 13(1): 16232, 2023 Sep 27.
Article em En | MEDLINE | ID: mdl-37758843
ABSTRACT
In this manuscript, we report on a novel architecture for the fabrication of highly sensitive multimodal tactile transducers, for the simultaneous detection of temperature and force. Such devices are based on a flexible Organic Charge Modulated Field Effect Transistor (OCMFET) coupled with a pyro/piezoelectric element, namely a commercial film of poly-vinylene difluoride (PVDF). The reduction of the channel length, obtained by employing a low-resolution vertical channel architecture, allowed to maximize the ratio between the sensing area and the transistor's channel area, a technological approach that allows to considerably enhance both temperature and force sensitivity, while at the same time minimize the sensor's dimensions. Thanks to the employment of a straightforward, up-scalable, and highly reproducible fabrication process, this solution represents an interesting alternative for all those applications requiring high-density, high-sensitivity sensors such as robotics and biomedical applications.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article