Example of Smart Materials and Structures format
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Example of Smart Materials and Structures format Example of Smart Materials and Structures format Example of Smart Materials and Structures format Example of Smart Materials and Structures format Example of Smart Materials and Structures format Example of Smart Materials and Structures format Example of Smart Materials and Structures format Example of Smart Materials and Structures format Example of Smart Materials and Structures format Example of Smart Materials and Structures format Example of Smart Materials and Structures format Example of Smart Materials and Structures format
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open access Open Access

Smart Materials and Structures — Template for authors

Publisher: IOP Publishing
Categories Rank Trend in last 3 yrs
Civil and Structural Engineering #38 of 318 down down by 19 ranks
Mechanics of Materials #56 of 377 down down by 25 ranks
Condensed Matter Physics #65 of 411 down down by 19 ranks
Electrical and Electronic Engineering #124 of 693 down down by 34 ranks
Atomic and Molecular Physics, and Optics #35 of 192 down down by 9 ranks
Materials Science (all) #93 of 455 down down by 19 ranks
Signal Processing #28 of 108 down down by 9 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 1928 Published Papers | 11851 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 13/07/2020
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Related Journals

open access Open Access
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Nature

Quality:  
High
CiteRatio: 58.2
SJR: 14.308
SNIP: 6.143
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Springer

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CiteRatio: 14.4
SJR: 2.536
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Elsevier

Quality:  
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CiteRatio: 4.4
SJR: 0.681
SNIP: 0.954
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recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 8.3
SJR: 1.33
SNIP: 1.906

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

3.613

2% from 2018

Impact factor for Smart Materials and Structures from 2016 - 2019
Year Value
2019 3.613
2018 3.543
2017 2.963
2016 2.909
graph view Graph view
table view Table view

6.1

5% from 2019

CiteRatio for Smart Materials and Structures from 2016 - 2020
Year Value
2020 6.1
2019 6.4
2018 6.0
2017 5.4
2016 5.5
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 2% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has decreased by 5% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

0.898

16% from 2019

SJR for Smart Materials and Structures from 2016 - 2020
Year Value
2020 0.898
2019 1.07
2018 1.077
2017 1.152
2016 1.038
graph view Graph view
table view Table view

1.22

21% from 2019

SNIP for Smart Materials and Structures from 2016 - 2020
Year Value
2020 1.22
2019 1.55
2018 1.585
2017 1.515
2016 1.623
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 16% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 21% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
Smart Materials and Structures

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IOP Publishing

Smart Materials and Structures

Smart Materials and Structures (SMS) is a multi-disciplinary journal that explores the creation and utilization of novel forms of transduction. It is a leading journal in the area of smart materials and structures, publishing the most important results from different regions o...... Read More

i
Last updated on
13 Jul 2020
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ISSN
0964-1726
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Impact Factor
High - 1.706
i
Acceptance Rate
Not provided
i
Frequency
Not provided
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
iopart-num
i
Citation Type
Numbered
[25]
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Bibliography Example
Beenakker C W J 2006 Phys. Rev. Lett. 97 067007 URL 10.1103/PhysRevLett.97.067007

Top papers written in this journal

Journal Article DOI: 10.1088/0964-1726/16/3/R01
A review of power harvesting using piezoelectric materials (2003–2006)
Steven R. Anton1, Henry A. Sodano2

Abstract:

The field of power harvesting has experienced significant growth over the past few years due to the ever-increasing desire to produce portable and wireless electronics with extended lifespans. Current portable and wireless devices must be designed to include electrochemical batteries as the power source. The use of batteries ... The field of power harvesting has experienced significant growth over the past few years due to the ever-increasing desire to produce portable and wireless electronics with extended lifespans. Current portable and wireless devices must be designed to include electrochemical batteries as the power source. The use of batteries can be troublesome due to their limited lifespan, thus necessitating their periodic replacement. In the case of wireless sensors that are to be placed in remote locations, the sensor must be easily accessible or of a disposable nature to allow the device to function over extended periods of time. Energy scavenging devices are designed to capture the ambient energy surrounding the electronics and convert it into usable electrical energy. The concept of power harvesting works towards developing self-powered devices that do not require replaceable power supplies. A number of sources of harvestable ambient energy exist, including waste heat, vibration, electromagnetic waves, wind, flowing water, and solar energy. While each of these sources of energy can be effectively used to power remote sensors, the structural and biological communities have placed an emphasis on scavenging vibrational energy with piezoelectric materials. This article will review recent literature in the field of power harvesting and present the current state of power harvesting in its drive to create completely self-powered devices. read more read less

Topics:

Energy harvesting (58%)58% related to the paper, Electronics (51%)51% related to the paper, Waste heat (51%)51% related to the paper
View PDF
2,438 Citations
Journal Article DOI: 10.1088/0964-1726/13/5/018
A piezoelectric vibration based generator for wireless electronics
Shad Roundy1, Paul K. Wright2

Abstract:

Enabling technologies for wireless sensor networks have gained considerable attention in research communities over the past few years. It is highly desirable, even necessary in certain situations, for wireless sensor nodes to be self-powered. With this goal in mind, a vibration based piezoelectric generator has been developed... Enabling technologies for wireless sensor networks have gained considerable attention in research communities over the past few years. It is highly desirable, even necessary in certain situations, for wireless sensor nodes to be self-powered. With this goal in mind, a vibration based piezoelectric generator has been developed as an enabling technology for wireless sensor networks. The focus of this paper is to discuss the modeling, design, and optimization of a piezoelectric generator based on a two-layer bending element. An analytical model of the generator has been developed and validated. In addition to providing intuitive design insight, the model has been used as the basis for design optimization. Designs of 1 cm3 in size generated using the model have demonstrated a power output of 375 µW from a vibration source of 2.5 m s−2 at 120 Hz. Furthermore, a 1 cm3 generator has been used to power a custom designed 1.9 GHz radio transmitter from the same vibration source. read more read less

Topics:

Wireless sensor network (57%)57% related to the paper, Generator (circuit theory) (51%)51% related to the paper, Wireless (51%)51% related to the paper, Transmitter (51%)51% related to the paper
View PDF
1,782 Citations
open accessOpen access Journal Article DOI: 10.1088/0964-1726/10/3/303
Modal identification of output-only systems using frequency domain decomposition
Rune Brincker1, Lingmi Zhang2, Palle Andersen1

Abstract:

In this paper a new frequency domain technique is introduced for the modal identification of output-only systems, i.e. in the case where the modal parameters must be estimated without knowing the input exciting the system. By its user friendliness the technique is closely related to the classical approach where the modal para... In this paper a new frequency domain technique is introduced for the modal identification of output-only systems, i.e. in the case where the modal parameters must be estimated without knowing the input exciting the system. By its user friendliness the technique is closely related to the classical approach where the modal parameters are estimated by simple peak picking. However, by introducing a decomposition of the spectral density function matrix, the response spectra can be separated into a set of single degree of freedom systems, each corresponding to an individual mode. By using this decomposition technique close modes can be identified with high accuracy even in the case of strong noise contamination of the signals. Also, the technique clearly indicates harmonic components in the response signals. read more read less

Topics:

Frequency domain decomposition (70%)70% related to the paper, Operational Modal Analysis (67%)67% related to the paper, Modal testing (62%)62% related to the paper, Modal analysis using FEM (61%)61% related to the paper, Frequency domain (58%)58% related to the paper
View PDF
1,312 Citations
open accessOpen access Journal Article DOI: 10.1088/0964-1726/5/5/006
Modeling and Control of Magnetorheological Dampers for Seismic Response Reduction
Shirley J. Dyke1, Billie F. Spencer2, Michael K. Sain2, J. D. Carlson3

Abstract:

Control of civil engineering structures for earthquake hazard mitigation represents a relatively new area of research that is growing rapidly. Control systems for these structures have unique requirements and constraints. For example, during a severe seismic event, the external power to a structure may be severed, rendering c... Control of civil engineering structures for earthquake hazard mitigation represents a relatively new area of research that is growing rapidly. Control systems for these structures have unique requirements and constraints. For example, during a severe seismic event, the external power to a structure may be severed, rendering control schemes relying on large external power supplies ineffective. Magnetorheological (MR) dampers are a new class of devices that mesh well with the requirements and constraints of seismic applications, including having very low power requirements. This paper proposes a clipped-optimal control strategy based on acceleration feedback for controlling MR dampers to reduce structural responses due to seismic loads. A numerical example, employing a newly developed model that accurately portrays the salient characteristics of the MR dampers, is presented to illustrate the effectiveness of the approach. read more read less

Topics:

Magnetorheological fluid (57%)57% related to the paper, Seismic loading (54%)54% related to the paper, Magnetorheological damper (53%)53% related to the paper, Damper (53%)53% related to the paper
View PDF
1,296 Citations
Journal Article DOI: 10.1088/0964-1726/18/2/025009
An experimentally validated bimorph cantilever model for piezoelectric energy harvesting from base excitations
Alper Erturk1, Daniel J. Inman

Abstract:

Piezoelectric transduction has received great attention for vibration-to-electric energy conversion over the last five years. A typical piezoelectric energy harvester is a unimorph or a bimorph cantilever located on a vibrating host structure, to generate electrical energy from base excitations. Several authors have investiga... Piezoelectric transduction has received great attention for vibration-to-electric energy conversion over the last five years. A typical piezoelectric energy harvester is a unimorph or a bimorph cantilever located on a vibrating host structure, to generate electrical energy from base excitations. Several authors have investigated modeling of cantilevered piezoelectric energy harvesters under base excitation. The existing mathematical modeling approaches range from elementary single-degree-of-freedom models to approximate distributed parameter solutions in the sense of Rayleigh–Ritz discretization as well as analytical solution attempts with certain simplifications. Recently, the authors have presented the closed-form analytical solution for a unimorph cantilever under base excitation based on the Euler–Bernoulli beam assumptions. In this paper, the analytical solution is applied to bimorph cantilever configurations with series and parallel connections of piezoceramic layers. The base excitation is assumed to be translation in the transverse direction with a superimposed small rotation. The closed-form steady state response expressions are obtained for harmonic excitations at arbitrary frequencies, which are then reduced to simple but accurate single-mode expressions for modal excitations. The electromechanical frequency response functions (FRFs) that relate the voltage output and vibration response to translational and rotational base accelerations are identified from the multi-mode and single-mode solutions. Experimental validation of the single-mode coupled voltage output and vibration response expressions is presented for a bimorph cantilever with a tip mass. It is observed that the closed-form single-mode FRFs obtained from the analytical solution can successfully predict the coupled system dynamics for a wide range of electrical load resistance. The performance of the bimorph device is analyzed extensively for the short circuit and open circuit resonance frequency excitations and the accuracy of the model is shown in all cases. read more read less

Topics:

Bimorph (71%)71% related to the paper, Unimorph (63%)63% related to the paper, Cantilever (54%)54% related to the paper, Vibration (53%)53% related to the paper, Frequency response (52%)52% related to the paper
View PDF
1,187 Citations
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Frequently asked questions

1. Can I write Smart Materials and Structures in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Smart Materials and Structures guidelines and auto format it.

2. Do you follow the Smart Materials and Structures guidelines?

Yes, the template is compliant with the Smart Materials and Structures guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Smart Materials and Structures?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Smart Materials and Structures citation style.

4. Can I use the Smart Materials and Structures templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Smart Materials and Structures.

5. Can I use a manuscript in Smart Materials and Structures that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Smart Materials and Structures that you can download at the end.

6. How long does it usually take you to format my papers in Smart Materials and Structures?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Smart Materials and Structures.

7. Where can I find the template for the Smart Materials and Structures?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Smart Materials and Structures's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Smart Materials and Structures's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. Smart Materials and Structures an online tool or is there a desktop version?

SciSpace's Smart Materials and Structures is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like Smart Materials and Structures?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Smart Materials and Structures?”

11. What is the output that I would get after using Smart Materials and Structures?

After writing your paper autoformatting in Smart Materials and Structures, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Smart Materials and Structures's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Smart Materials and Structures?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Smart Materials and Structures. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In Smart Materials and Structures?

The 5 most common citation types in order of usage for Smart Materials and Structures are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the Smart Materials and Structures?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Smart Materials and Structures's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Smart Materials and Structures in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Smart Materials and Structures Endnote style according to Elsevier guidelines.

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