The miniaturization of electronic devices is important for the development of high-density
and function-integrated information devices. Atomic-point-contact (APC) structures refer to …

In this study, a hybrid organic‐inorganic field‐effect transistor (FET) is proposed with n‐type
zinc‐tin oxide (ZTO) and p‐type dinaphtho [2, 3‐b: 2′, 3′‐f] thieno [3, 2‐b] thiophene …

Hardware neuromorphic systems are crucial for the energy‐efficient processing of massive
amounts of data. Among various candidates, hafnium oxide ferroelectric tunnel junctions …

On-chip learning in neuromorphic systems, wherein both training and inference are
performed on memristive synaptic devices, has been actively studied recently. However, on …

Abstract As the Internet of Things (IoT) landscape expands, the need for robust and energy-
efficient hardware security has increased. In this study, we demonstrate a novel true random …

Resistance random access memory (RRAM) based true random number generator (TRNG)
has great potential to be applied to hardware security owing to its intrinsic switching …

This study investigates the stochastic behavior of random telegraph noise (RTN) in
ferroelectric tunnel junctions (FTJs) considering the downscaling effect and its implications …

Apart from simulating biological synapses, memristors can also be used in the secure
encryption by exploiting their inherent random resistive switching (RS) properties. In this …

The need for robust cryptographic measures has become increasingly important in various
applications, including secure communication, artificial intelligent model training, and …

Memristors are suitable for internet of things (IoT) edge devices due to their high scalability
and low power consumption. Also, their stochastic noise signals can be used to produce …