Graphene Nanocomposite-Based Flexible and Conducting Electrodes for Touch Panel and Heater Applications With Machine Learning-Assisted Smart Performance

Abstract

Flexible conducting electrodes form an integral part in many applications from optoelectronics to photovoltaics and sensors. Although strategies to improve performance have been reported, challenges exist in the smart performance of the electrodes in devices with real-time feedback and integration with advanced techniques such as the Internet of Things (IoT). This work demonstrates an approach to achieve smart performance using flexible conducting electrodes based on graphene nanoplatelets (GNPs)/poly(3,4-ethylenedioxythiophene):poly (styrenesulfonate) (PEDOT:PSS) nanocomposite by the incorporation of machine learning methods. Applications of the electrodes as smart electrothermal heater and touch panel have been demonstrated with intelligent performance. The integration of machine learning methods ensures smart functioning and helps to achieve better functionalities in both applications. This work paves the way for significant advancements in flexible electronics and touchscreen technology with the assistance of machine learning strategies.