A review is given on the foundations and applications of non-Hermitian classical and
quantum physics. First, key theorems and central concepts in non-Hermitian linear algebra …

Diffusive intracellular and extracellular ions induce a gradient electromagnetic field that
regulates membrane potential, and energy injection from external stimuli breaks the energy …

This article presents a review of the current development and challenges in memristor
modeling. We review the mechanisms of memristive devices based on various …

Resistive memories are outstanding electron devices that have displayed a large potential in
a plethora of applications such as nonvolatile data storage, neuromorphic computing …

The volume, veracity, variability, and velocity of data produced from the ever increasing
network of sensors connected to Internet pose challenges for power management …

Memristors are novel electrical devices used for a variety of applications, including memory,
logic circuits, and neuromorphic systems. Memristive technologies are attractive due to their …

Memristive devices are novel devices, which can be used in applications ranging from
memory and logic to neuromorphic systems. A memristive device offers several advantages …

The rapid development of artificial intelligence (AI), big data analytics, cloud computing, and
Internet of Things applications expect the emerging memristor devices and their hardware …

A mathematical model of the prototype of memristor, manufactured in 2008 in Hewlett-
Packard Labs, is described in the paper. It is shown that the hitherto published approaches …

Memory effects are ubiquitous in nature and are particularly relevant at the nanoscale where
the dynamical properties of electrons and ions strongly depend on the history of the system …