Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …

The simultaneous advances in artificial neural networks and photonic integration
technologies have spurred extensive research in optical computing and optical neural …

Electronically reprogrammable photonic circuits based on phase-change chalcogenides
present an avenue to resolve the von-Neumann bottleneck; however, implementation of …

Recent advances in neuromorphic computing have established a computational framework
that removes the processor-memory bottleneck evident in traditional von Neumann …

The explosive volume growth of deep-learning (DL) applications has triggered an era in
computing, with neuromorphic photonic platforms promising to merge ultra-high speed and …

The use of nonlinear elements with memory as photonic computing components has seen a
huge surge in interest in recent years with the rise of artificial intelligence and machine …

Phase change materials present a unique type of materials that drastically change their
electrical and optical properties on the introduction of an external electrical or optical …

Use of artificial intelligence for tasks such as image classification and speech recognition
has started to form an integral part of our lives. Facilitation of such tasks requires processing …

In the past decade, there has been tremendous progress in integrating chalcogenide phase-
change materials (PCMs) on the silicon photonic platform for non-volatile memory to …

Phase change materials play an essential role in the development of tuneable optics by
overcoming the limitations possessed by conventional optics due to their static behaviour …