The DOI matches its Crossref record; 201 of the 201 references it cites were found in a registry or an index.
Review—Organic-Inorganic Hybrid Functional Materials: An Integrated Platform for Applied Technologies
Open accessAbstract
Hybrid functional materials, constituting both inorganic and organic components, are considered potential platforms for applications in extremely diverse fields such as optics, micro-electronics, transportation, health, energy, energy storage, diagnosis, housing, environment and the highly relevant area is Internet of Things (IoT). Material properties of hybrid materials can be tuned by modification of the composition on the molecular scale to produce smart materials. Cross-cutting approaches, to synergistically couple molecular engineering and processing allows to tailor complex hybrid systems of various shapes with perfect control over size, composition, functionality, and morphology. The detailed description and discussion of variety of hybrid functional organic-inorganic materials and their contribution in the designing of specific modern technologies is the prime focus of this review.
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Cited by
Chaudhary, V., Kaushik, A., Furukawa, H., & Khosla, A. (2022) · ECS Sensors Plus · doi:10.1149/2754-2726/ac5ac6 · Cited by 386
Self-citationAdvanced hybrid nanomaterials for biomedical applications
Park, W., Shin, H., Choi, B., Rhim, W.-K., Na, K., & Keun Han, D. (2020) · Progress in Materials Science · doi:10.1016/j.pmatsci.2020.100686 · Cited by 299
Metadata
- Authors
- Mir, S. H., Nagahara, L. A., Thundat, T., Mokarian-Tabari, P., Furukawa, H., & Khosla, A.
- Venue
- Journal of The Electrochemical Society
- Publisher
- The Electrochemical Society
- Published
- 2018
- Volume
- 165
- Issue
- 8
- Pages
- B3137-B3156
- ISSN
- 0013-4651 (ISSN-L)
- 1945-7111
- OpenAlex
- W2799303226
- Cited by
- 386
- References
- 201
- FWCI
- 17.44
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.
