Memristors have been intensively studied in recent years as potential building blocks for the
construction of versatile neuromorphic architectures. The prevalent developments focus on …

BiFeO3-based heterostructures have attracted much attention for potential applications due
to their room-temperature multiferroic properties, proper band gaps and ultrahigh …

Analogue in-memory computing using memristors could alleviate the performance
constraints imposed by digital von Neumann systems in data-intensive tasks. Conventional …

Neuromorphic devices are among the most emerging electronic components to realize
artificial neural systems and replace traditional complementary metal–oxide semiconductor …

Ferroelectrics have been demonstrated as excellent building blocks for high‐performance
nonvolatile memories, including memristors, which play critical roles in the hardware …

Energy efficiency, parallel information processing, and unsupervised learning make the
human brain a model computing system for unstructured data handling. Different types of …

Brain-inspired neuromorphic computing has shown great promise beyond the conventional
Boolean logic. Nanoscale electronic synapses, which have stringent demands for …

The last few decades have witnessed the rapid development of electronic computers relying
on von Neumann architecture. However, due to the spatial separation of the memory unit …

Brain-inspired neuromorphic computing has been intensively studied due to its potential to
address the inherent energy and throughput limitations of conventional Von-Neumann …

Ferroelectric memristors have found extensive applications as a type of nonvolatile
resistance switching memories in information storage, neuromorphic computing, and image …