Results 51 to 60 of about 1,457 (174)
Factorial Hidden Markov Model analysis of Random Telegraph Noise in Resistive Random Access Memories [PDF]
This paper presents a new technique to analyze the characteristics of multi-level random telegraph noise (RTN). RTN is dened as an abrupt switching of ei- ther the current or the voltage between discrete values as a result of trapping/de-trapping ...
PAVAN, Paolo, PUGLISI, Francesco Maria
core
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak +14 more
wiley +1 more source
The electron-traps parameters of the fin-type buried-channel-array transistor (BCAT) in a dynamic random-access memory (DRAM) cell is investigated with a random-telegraph-noise (RTN)-based analysis at various temperatures including 77 K.
Sangwon Lee +13 more
doaj +1 more source
Trapped charge dynamics in InAs nanowires
We study random telegraph noise in the conductance of InAs nanowire field-effect transistors due to single electron trapping in defects. The electron capture and emission times are measured as functions of temperature and gate voltage for individual ...
Baugh, Jonathan +4 more
core +1 more source
We demonstrate true random number generator (TRNG) circuits based on a 2D hBN threshold switching memristor integrated with passive components. Leveraging its intrinsic stochastic behavior, the spike generator produces output fluctuations directly converted into random bits via a comparator.
Yooyeon Jo +5 more
wiley +1 more source
In this paper, a new pattern of anomalous random telegraph noise (RTN), named “reversal RTN” (rRTN) induced by single oxide trap, is observed in the drain current of nanoscale metal-oxide-semiconductor field-effect transistors (MOSFETs) with high-k gate ...
Shaofeng Guo +4 more
doaj +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
In this manuscript, recent progress in the area of resistive random access memory (RRAM) technology which is considered one of the most standout emerging memory technologies owing to its high speed, low cost, enhanced storage density, potential ...
Furqan Zahoor +2 more
doaj +1 more source
Processing‐in‐memory (PIM) architectures based on memristors offer significant potential for low‐power computation and the realization of novel computing paradigms by performing logic operations directly within memory. This review summarizes recent advances in memristor‐based logic techniques, with particular emphasis on reliability considerations and ...
Thomas Neuner +5 more
wiley +1 more source
Equivalent qubit dynamics under classical and quantum noise
We study the dynamics of quantum systems under classical and quantum noise, focusing on decoherence in qubit systems. Classical noise is described by a random process leading to a stochastic temporal evolution of a closed quantum system, whereas quantum ...
H. J. Charmichael +7 more
core +1 more source

