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Recent advances and future prospects for memristive materials, devices, and systems
Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …
CMOS technology, which is facing fundamental limitations in its development. Since oxide …
Integrated optical memristors
Memristors in electronics have shown the potential for a range of applications, ranging from
circuit elements to neuromorphic computing. In recent years, the ability to vary the …
circuit elements to neuromorphic computing. In recent years, the ability to vary the …
Ultra-low-energy programmable non-volatile silicon photonics based on phase-change materials with graphene heaters
Silicon photonics is evolving from laboratory research to real-world applications with the
potential to transform many technologies, including optical neural networks and quantum …
potential to transform many technologies, including optical neural networks and quantum …
2022 roadmap on neuromorphic computing and engineering
Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …
science. In the von Neumann architecture, processing and memory units are implemented …
Higher-dimensional processing using a photonic tensor core with continuous-time data
New developments in hardware-based 'accelerators' range from electronic tensor cores and
memristor-based arrays to photonic implementations. The goal of these approaches is to …
memristor-based arrays to photonic implementations. The goal of these approaches is to …
In-memory photonic dot-product engine with electrically programmable weight banks
Electronically reprogrammable photonic circuits based on phase-change chalcogenides
present an avenue to resolve the von-Neumann bottleneck; however, implementation of …
present an avenue to resolve the von-Neumann bottleneck; however, implementation of …
Photonics for artificial intelligence and neuromorphic computing
Research in photonic computing has flourished due to the proliferation of optoelectronic
components on photonic integration platforms. Photonic integrated circuits have enabled …
components on photonic integration platforms. Photonic integrated circuits have enabled …
Memory devices and applications for in-memory computing
Traditional von Neumann computing systems involve separate processing and memory
units. However, data movement is costly in terms of time and energy and this problem is …
units. However, data movement is costly in terms of time and energy and this problem is …
Parallel convolutional processing using an integrated photonic tensor core
With the proliferation of ultrahigh-speed mobile networks and internet-connected devices,
along with the rise of artificial intelligence (AI), the world is generating exponentially …
along with the rise of artificial intelligence (AI), the world is generating exponentially …
Ultra-compact nonvolatile phase shifter based on electrically reprogrammable transparent phase change materials
Optical phase shifters constitute the fundamental building blocks that enable programmable
photonic integrated circuits (PICs)—the cornerstone of on-chip classical and quantum …
photonic integrated circuits (PICs)—the cornerstone of on-chip classical and quantum …