Training Prospective Nanotechnologists to Select Optimum Solutions for the Nanostructures Synthesis Using the Analytic Hierarchy Process
Nanotechnologists are in great demand and this need is becoming more and more acute every year since nanomaterials have gained widespread acceptance in various industries. The specificity of nanotechnology is determined by a wide variety of existing nanomaterials and technologies for their synthesis...
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| Autores principales: | , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
UIKTEN
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/dbd0cf9398fb42399be11d285e47438b |
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| Sumario: | Nanotechnologists are in great demand and this need is becoming more and more acute every year since nanomaterials have gained widespread acceptance in various industries. The specificity of nanotechnology is determined by a wide variety of existing nanomaterials and technologies for their synthesis. The study suggests an efficient technique for training prospective nanoengineers to make managerial decisions in the synthesis of nanostructures. Moreover, the article demonstrates that using T. Saati's hierarchy analysis method offers the optimum solution for obtaining nanostructures. The analysis is based on the most commonly used synthesis technologies such as chemical etching, photoelectrochemical etching and imprint lithography. The application of T. Saati's method allows prospective nanoengineers to optimize the synthesis of high-quality nanostructures as well as ensure an economic and competitive advantage and reduce the number of errors. |
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