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 …
Tunable nanophotonics enabled by chalcogenide phase-change materials
Nanophotonics has garnered intensive attention due to its unique capabilities in molding the
flow of light in the subwavelength regime. Metasurfaces (MSs) and photonic integrated …
flow of light in the subwavelength regime. Metasurfaces (MSs) and photonic integrated …
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 …
Electrically reconfigurable non-volatile metasurface using low-loss optical phase-change material
Active metasurfaces promise reconfigurable optics with drastically improved compactness,
ruggedness, manufacturability and functionality compared to their traditional bulk …
ruggedness, manufacturability and functionality compared to their traditional bulk …
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 …
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 …
Non-volatile electrically programmable integrated photonics with a 5-bit operation
Scalable programmable photonic integrated circuits (PICs) can potentially transform the
current state of classical and quantum optical information processing. However, traditional …
current state of classical and quantum optical information processing. However, traditional …
Recent advances on neuromorphic devices based on chalcogenide phase‐change materials
Traditional von Neumann computing architecture with separated computation and storage
units has already impeded the data processing performance and energy efficiency, calling …
units has already impeded the data processing performance and energy efficiency, calling …
On-the-fly closed-loop materials discovery via Bayesian active learning
Active learning—the field of machine learning (ML) dedicated to optimal experiment design—
has played a part in science as far back as the 18th century when Laplace used it to guide …
has played a part in science as far back as the 18th century when Laplace used it to guide …
Programmable phase-change metasurfaces on waveguides for multimode photonic convolutional neural network
Neuromorphic photonics has recently emerged as a promising hardware accelerator, with
significant potential speed and energy advantages over digital electronics for machine …
significant potential speed and energy advantages over digital electronics for machine …