<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
		<Article>
		<Journal>
			<PublisherName>Majlesi Journal of Electrical Engineering</PublisherName>
			<JournalTitle>An Overview on RAM Memories in QCA Technology</JournalTitle>
			<Issn></Issn>
			<Volume>Volume 11 (2017)</Volume>
			<Issue>Issue 2, June 2017</Issue>
			<PubDate PubStatus="epublish">
                <Year>2024</Year>
                <Month>02</Month>
                <Day>18</Day>
			</PubDate>
		</Journal>
		<ArticleTitle>An Overview on RAM Memories in QCA Technology</ArticleTitle>
		<VernacularTitle></VernacularTitle>
		<FirstPage></FirstPage>
		<LastPage></LastPage>
		<ELocationID EIdType="doi"></ELocationID>
		<Language>EN</Language>
		<AuthorList>
            			<Author>
                				<FirstName>Javad</FirstName>
				<LastName>Chaharlang</LastName>
				<Affiliation>Department of Computer Engineering, Dezfoul Branch, Dezfoul, Iran</Affiliation>
				<Identifier Source="ORCID"></Identifier>
			</Author>
            			<Author>
                				<FirstName>Mohammad</FirstName>
				<LastName>Mosleh</LastName>
				<Affiliation>Department of Computer Engineering, Dezful Branch, Islamic Azad University, Dezful, Iran</Affiliation>
				<Identifier Source="ORCID"></Identifier>
			</Author>
            		</AuthorList>
		<PublicationType>Journal Article</PublicationType>
		<History>
			<PubDate PubStatus="received">
				<Year>2024</Year>
				<Month>02</Month>
				<Day>18</Day>
			</PubDate>
		</History>
		<Abstract>Quantum-dot Cellular Automata (QCA) is a computational technology that can be used to construct nanoscale circuits. Nowadays, this technology is a good alternative for CMOS technology due to features such as high speed, low occupied area and low power consumption. Mmemory is utilized as one of the basic elements in digital circuit design hence the design and optimization of high-speed RAM memory cells have become one of the most attractive research areas; in the realm of QCA. In this paper, we present a comprehensive investigation on RAM memories. For this purpose, the proposed schemes in terms of functionality, the number of cell consumption, and latency are implemented and compared using QCA Designer software. The results show that some of the proposed schemes show better performance in terms of parameters such as occupied area and delay. Nevertheless, they are still suffering from less stability; hence introducing an optimum scheme is infeasible.</Abstract>
		<ObjectList>
            			<Object Type="keyword">
				<Param Name="value">RAM Memory</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Nano Circuits</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">QCA Designer software.</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Quantum-Dot Cellular Automata (QCA)</Param>
			</Object>
					</ObjectList>
	</Article>
	</ArticleSet>
