Home /Research /Piezotronics enabled artificial intelligence systems
OTHER

Piezotronics enabled artificial intelligence systems

Qilin Hua, Xiao Cui, Keyu Ji, Bingjun Wang, Weiguo Hu

Year
2021
Citations
17
Access
Open access

Abstract

Abstract Artificial intelligence (AI) technologies are accelerating the rapid innovations of multifunctional micro/nanosystems for boosting significant applications in flexible electronics, human healthcare, advanced robotics, autonomous control, and human–machine interfaces. III-nitride semiconductors, e.g. GaN, AlN, InN, and their alloys, exhibit superior device characteristics in high-performance opto-/electronics, due to the unique polarization effects in the non-central-symmetric crystal. Piezotronics, coupled with piezoelectric polarization and semiconductor properties, can provide a novel approach for controlling charge carrier transport across the interfacial Schottky barrier or p–n junction in these piezoelectric semiconductors. It means constructing a direct, real-time, seamless interaction between human/machine and environment, which indicates great potential in emerging AI systems. In this article, we review the research progress of piezotronics on III-nitride semiconductors, summarize the fundamental theory of piezotronics, illustrate flexible device process, present emerging piezotronic intelligent GaN-based devices, and provide innovative supports for building adaptive and interactive AI systems.

Keywords

SemiconductorElectronicsSchottky barrierPiezoelectricityMaterials scienceNanotechnologyComputer scienceSchottky diodeBoosting (machine learning)Artificial intelligence

Related papers

Browse all OTHER papers