Elsevier

Chip Template

Write in a clean editor, then format for Chip in one click — DocuGuru applies the official Elsevier template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Chip format

Chip is a peer-reviewed journal published by Elsevier, covering Advanced Memory and Neural Computing, Photonic and Optical Devices, Ferroelectric and Negative Capacitance Devices.

PublisherElsevier
Reference styleNumbered (Elsevier)
Numbered — [1], [2] in the text
[1] A. Smith, B. Jones, C. Lee, A representative article title, Chip 12 (2023) 45–58.

Formats any DOI in Chip style. No sign-up.

Publishes research inAdvanced Memory and Neural Computing Photonic and Optical Devices Ferroelectric and Negative Capacitance Devices Semiconductor materials and devices Neural Networks and Reservoir Computing
ISSN2709-4723
Citation impact (2-yr)5.5
h-index28
i10-index67
Total citations2,337
Article processing charge$2,000
Open accessYes
Top institutions publishing hereTsinghua University
Journal websitewww.journals.elsevier.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Chip per year

1
1993
2
2004
27
2022
38
2023
33
2024
53
2025

Citation impact of Chip by publication year

0
1993
0
2004
846
2022
848
2023
439
2024
138
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Chip

Wide bandgap semiconductor-based integrated circuits

Saravanan Yuvaraja, Vishal Khandelwal, Xiao Tang et al. · 14 Oct 2023

Wide-bandgap semiconductors possess much larger energy bandgaps in comparison to traditional semiconductors such as silicon, rendering them very promising for applications in the fields of electronics and optoelectronics. Prominent examples of semiconductors include SiC, GaN, ZnO, and diamond, which exhibit distinctive characteristics such as elevated mobility and thermal conductivity. These characteristics facilitate the operation of…

Advanced RF filters for wireless communications

Kai Yang, Chenggong He, Jiming Fang et al. · 7 Jul 2023

This paper provides a comprehensive review of advanced radio frequency (RF) filter technologies available in miniature chip or integrated circuit (IC) form for wireless communication applications. The RF filter technologies are organized according to the timeline of their introduction, in conjunction with each generation of wireless (cellular) communication standards (1G to 5G). This approach enables…

Ultra-compact lithium niobate microcavity electro-optic modulator beyond 110 GHz

Bingcheng Pan, Hongxuan Liu, Haochen Xu et al. · 12 Oct 2022

A lithium-niobate-on-insulator (LNOI) electro-optic (EO) modulator based on a 2 × 2 FP-cavity was designed and realized with an ultra-compact footprint and an ultra-high bandwidth. A comprehensive analysis on the present LNOI FP-cavity modulator was conducted to reveal the dependence of modulation bandwidth and modulation efficiency on the cavity Q-factor and the operation wavelength detuning…

Photodetectors based on two-dimensional MoS2 and its assembled heterostructures

Tao Hu, Rui Zhang, Jin-Ping Li et al. · 26 Jun 2022

Photodetectors are finding various potential applications in sensing and detection, information communication, light-emitting diode, optical modulators, ultrafast laser, etc. Molybdenum disulfide (MoS2) has sparked great interest given its unique crystal phase, flexible preparation, structural stability, and regulable photoelectronic features. Therefore, the MoS2-based photodetector is demonstrated to be an excellent device fabrication platform to explore underlying…

Advanced synaptic devices and their applications in biomimetic sensory neural system

Yiqi Sun, Jiean Li, Sheng Li et al. · 9 Nov 2022

Human nervous system, which is composed of neuron and synapse networks, is capable of processing information in a plastic, data-parallel, fault-tolerant, and energy-efficient approach. Inspired by the ingenious working mechanism of this miraculous biological data processing system, scientists have been devoting great efforts to artificial neural systems based on synaptic devices in recent decades. The…

Chip template — frequently asked questions

How do I write a paper in the Chip format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Chip template. When you export, DocuGuru compiles the paper into the official Elsevier format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Chip use?
Chip uses Numbered (Elsevier) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: [1] A. Smith, B. Jones, C. Lee, A representative article title, Chip 12 (2023) 45–58.
Do I need to know LaTeX to submit to Chip?
No. DocuGuru generates the elsarticle LaTeX class and compiles the PDF for you in the background, so you get a Elsevier-ready Chip document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Chip template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Chip format with correct headings, figures, tables, and numbered citations.
Who publishes Chip?
Chip is a multidisciplinary journal published by Elsevier. DocuGuru's Chip template matches Elsevier's official submission format.
Can I export a submission-ready Chip PDF?
Yes — DocuGuru produces a PDF built with the official Chip template (the elsarticle class) that is ready to submit to Elsevier, together with the matching LaTeX source files.
How much does the Chip template cost?
You can start writing in the Chip template for free. Exporting the final submission-ready Chip PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
Use the Chip template