Metallization system as a part of thermal memory

Скворцов, А. А.; Pshonkin, Danila E.; Volodina, O.; Nikolaev, Vladimir K.

doi:10.1016/j.heliyon.2023.e15797

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this paper, we consider the application of thermal memory elements, which we introduced in [13][14][15], as a computational memory unit. Thermal memory has a dynamic range of heating degree, non-linearity and asymmetry of the heating response and device variability [13], i.e., properties similar to those of memristive devices.…”

Section: Introductionmentioning

confidence: 99%

Memory computing based on thermal memory elements

Volodina,

Skvortsov,

Nikolaev

2023

E3S Web of Conf.

View full text Add to dashboard Cite

The article analyses the possibility of using elements of thermal memory to create a system that allows to perform calculations in memory. Such a computing system is built on devices that are used simultaneously for storing input data, performing a logical operation, and storing the output result. The authors conclude that it is possible to emulate this behaviour by using thermal memory elements with dielectric (SiO2) by a layer of thermal insulation. Special attention is paid to the logic gates of computing systems and their realisation on the basis of thermal memory elements. Simulation modelling of the work of such elements is carried out on the ANSYS Workbanch platform using the Transient Thermal module for non-stationary thermal calculations. On the basis of the modelling, the possibility of creating two basic logic gates “AND” and “OR” is established. The results can be used to create more integrated structures, such as artificial neural networks.

show abstract