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Cited by 592

The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.

Review on nanomaterials: Synthesis and applications

Kolahalam, Lalitha A., Kasi Viswanath, I.V., Diwakar, Bhagavathula S., Govindh, B., Reddy, Venu, Murthy, Y.L.N.·2019·Materials Today: Proceedings

Abstract

Abstract The recent past in the technological development evidenced that evolution in Nanotechnology and nanoscience is the key factor. Nanotechnology is multidisciplinary science which deals with physics, chemistry, materials science and other engineering sciences. The applications of Nanotechnology are spreading in almost all the branches of science and technology. The present review article highlighted the types of nanoparticles and their synthesis methods, characterization techniques. There are many techniques and applications are reported in the last five years but here we strictly focused on the general synthetic approaches and applications of the nanomaterials which provide a general idea to the young researchers.

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Crossref · 10.1016/j.matpr.2019.07.371

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Metadata

Authors
Kolahalam, L. A., Kasi Viswanath, I. V., Diwakar, B. S., Govindh, B., Reddy, V., & Murthy, Y. L. N.
Venue
Materials Today: Proceedings
Publisher
Elsevier BV
Published
2019
Volume
18
Pages
2182-2190
ISSN
2214-7853 (ISSN-L)
OpenAlex
W2968592478
Cited by
592
References
90
FWCI
13.89
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Review on nanomaterials: Synthesis and applications. https://app.cochat.ai/papers/10.1016/j.matpr.2019.07.371
The paper
Kolahalam, L. A., Kasi Viswanath, I. V., Diwakar, B. S., Govindh, B., Reddy, V., & Murthy, Y. L. N. (2019). Review on nanomaterials: Synthesis and applications. Materials Today: Proceedings. https://doi.org/10.1016/j.matpr.2019.07.371

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.