Enhancing Microchip Performance Through Graphene Integration: A Comparative Analysis with Silicon

This paper explores the transformative potential of graphene for microchip technology, emphasizing its superior electrical and thermal properties compared to traditional silicon. Graphene, a two-dimensional material composed of a single layer of carbon atoms, boasts high electron mobility, exceptional thermal conductivity, and robust chemical stability, making it a promising candidate for next-generation microchip applications. This study provides a detailed examination of graphene's characteristics, including its electronic properties and thermal behavior, and discusses the implications of its ultra-high conductivity for microchip efficiency. The comparative analysis highlights the advantages of graphene over silicon in terms of conductivity, thermal properties, and stability, presenting a case for graphene's integration into microchip manufacturing. Despite current production challenges, such as the costliness of graphene synthesis methods like mechanical exfoliation and chemical vapor deposition, the paper argues for the future potential of graphene-based chips. This investigation not only underscores graphene’s capacity to lower threshold currents and enhance microchip efficiency but also addresses the ongoing need for technological advancements in heat dissipation as chip integration and power density increase.

Authors

Institutions

Publication Details

Journal
Highlights in Science Engineering and Technology
Published
2025-02-18
DOI
https://doi.org/10.54097/adz9h642
Primary Topic
Advancements in Semiconductor Devices and Circuit Design
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Microchip Performance Through Graphene Integration: A Comparative Analysis with Silicon

Wenfang Zhai
Highlights in Science Engineering and Technology
Advancements in Semiconductor Devices and Circuit Design
article

Enhancing Microchip Performance Through Graphene Integration: A Comparative Analysis with Silicon

Wenfang Zhai
article en

Abstract

This paper explores the transformative potential of graphene for microchip technology, emphasizing its superior electrical and thermal properties compared to traditional silicon. Graphene, a two-dimensional material composed of a single layer of carbon atoms, boasts high electron mobility, exceptional thermal conductivity, and robust chemical stability, making it a promising candidate for next-generation microchip applications. This study provides a detailed examination of graphene's characteristics, including its electronic properties and thermal behavior, and discusses the implications of its ultra-high conductivity for microchip efficiency. The comparative analysis highlights the advantages of graphene over silicon in terms of conductivity, thermal properties, and stability, presenting a case for graphene's integration into microchip manufacturing. Despite current production challenges, such as the costliness of graphene synthesis methods like mechanical exfoliation and chemical vapor deposition, the paper argues for the future potential of graphene-based chips. This investigation not only underscores graphene’s capacity to lower threshold currents and enhance microchip efficiency but also addresses the ongoing need for technological advancements in heat dissipation as chip integration and power density increase.

Highlights in Science Engineering and TechnologyVol. 125
University of Jinan (CN)
Openalex Percentile: Top 98%
Advancements in Semiconductor Devices and Circuit Design
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.