講演情報
[9p-E206-4][JSAP-Optica Joint Symposia Invited Talk] Energy-Intelligent Computing Devices Based on Low-dimensional Electronics
〇Heejun Yang1 (1.KAIST)
キーワード：
Phase engineering、Interfaces、Neuromorphic devices
Despite the long and crucial role of traditional solid-state physics for current silicon-based technologies, next-generation neuromorphic, non-volatile memory, and energy devices that are key components in the era of the internet of things (IOT) require novel working principles with quantum physics emerging in low-dimensional devices. The main research direction for future devices is to realize ‘ultralow device operation energy’, ‘ultrahigh device operation speed’, and ‘large-scale device integration (up to 1015)’, which calls for exploring diverse quantum phenomena in low-dimensional device components. In this talk, I will present some of our recent efforts to establish new device physics for energy-intelligent devices, which could be a milestone for the promising future devices. In particular, dynamic convolutional neural networks, phase transition, and other intriguing quantum physics in low-dimensional materials will be discussed along with logic devices, neuromorphic computing, and energy device applications.