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

Self-organizing memristive nanowire connectomes have been exploited for physical (in
materia) implementation of brain-inspired computing paradigms. Despite having been …

The reservoir computing (RC) system, known for its ability to seamlessly integrate memory
and computing functions, is considered as a promising solution to meet the high demands …

As digital security demands continue to rise, physical unclonable functions (PUFs) have
emerged as a potential solution for providing unique identifiers and cryptographic keys …

Physical reservoir computing (RC) represents a computational framework that exploits
information-processing capabilities of programmable matter, allowing the realization of …

Electronic conduction along individual domain walls (DWs) is reported in BiFeO3 (BFO) and
other nominally insulating ferroelectrics. DWs in these materials separate regions of …

Neuromorphic computing aims to leverage physical phenomena of adaptive materials for
emulating information processing capabilities and effectiveness of biological neuronal …

Biological neuronal networks are characterized by nonlinear interactions and complex
connectivity. Given the growing impetus to build neuromorphic computers, understanding …

A compact and tractable two-dimensional model to generate the topological network
structure of domain walls in BiFeO3 thin films is presented in this study. Our method …

In order to complete useful tasks in complex and changing contexts, robots need to be able
to adapt their behavior or actions. This requires the ability to find effective approaches to the …