Semiconductor Quantum Dots for Memories and Neuromorphic Computing Systems

Abstract

The continued growth in the demand of data storage and processing has spurred the development of high-performance storage technologies and brain-inspired neuromorphic hardware. Semiconductor quantum dots (QDs) offer an appealing option for these applications since they combine excellent electronic/optical properties and structural stability and can address the requirements of low-cost, large-area, and solution-based manufactured technologies. Here, we focus on the development of nonvolatile memories and neuromorphic computing systems based on QD thin-film solids. We introduce recent advances of QDs and highlight their unique electrical and optical features for designing future electronic devices. We also discuss the advantageous traits of QDs for novel and optimized memory techniques in both conventional flash memories and emerging memristors. Then, we review recent advances in QD-based neuromorphic devices from artificial synapses to light-sensory synaptic platforms. Finally, we highlight major challenges for commercial translation and consider future directions for the postsilicon era.

Mixed Conductivity of Hybrid Halide Perovskites: Emerging Opportunities and Challenges

“…A number of strategies have thus been established to mitigate the phenomena caused by ion migration ( Figure 1D), such as the use of passivating agents (Milić et al, 2019b;Ferdani et al, 2019) and low-dimensional materials (Grancini and Nazeeruddin, 2019;Mao et al, 2019). There has also been a surge to use mixed conductivity in other emerging applications, such as rechargeable batteries (Tathavadekar et al, 2017;Dawson et al, 2018;Li et al, 2020) and resistive switches (Xiao and Huang, 2016;Choi et al, 2018;Lv et al, 2020). This article provides a perspective on the present challenges and opportunities associated with mixed conductivity of hybrid perovskites, from its phenomenology and mitigation strategies to utilization.…”

Recent Progress of Quantum Dot‐Based Photonic Devices and Systems: A Comprehensive Review of Materials, Devices, and Applications

“…The promising properties of QDs seem to be well suited for the development of high‐performance memory and neuromorphic computing devices. [ 214–220 ] Solution‐processable QD semiconductors enable to design area‐scalable novel neuromorphic devices due to excellent optoelectronic performance, stability, and size‐tunable properties as well as their low cost and large area fabrication possibility. There have been various promising studies about QD‐based neuromorphic devices, which can be integrated as flash memory, resistive random access memory (RRAM), [ 221,222 ] and photonic synaptic devices.…”

Hybrid oxide brain-inspired neuromorphic devices for hardware implementation of artificial intelligence

“…Inspired by the human brain, neuromorphic computing, a technology for hardware implementation of artificial intelligence, is gaining more and more attention [2][3][4][5][6][7]. It mimics the neural structure and operation of the human brain at the physical level and therefore can perform advanced computation fast and efficiently.…”