Low Temperature Chemical Nanofabrication 2020
DOI: 10.1016/b978-0-12-813345-3.00005-8
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Low-temperature chemical nanofabrication methods

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Cited by 6 publications
(2 citation statements)
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“…This method employs soft and elastomeric materials as well as hydrogels to manufacture nanoand microscale 3D structures (with width and depth below 100 μm) [211,212] for finding biological applications based on printing and molding. [213,214] Sealed cell-laden agarose hydrogels with heating molded gel-surface microfluidic channels were produced with soft-lithographic approaches (Figure 8A). [201] Interestingly, Wang et al [167] developed a strategy to generate 3D microchannels by making use of a soft-lithography method.…”
Section: Soft Lithographymentioning
confidence: 99%
“…This method employs soft and elastomeric materials as well as hydrogels to manufacture nanoand microscale 3D structures (with width and depth below 100 μm) [211,212] for finding biological applications based on printing and molding. [213,214] Sealed cell-laden agarose hydrogels with heating molded gel-surface microfluidic channels were produced with soft-lithographic approaches (Figure 8A). [201] Interestingly, Wang et al [167] developed a strategy to generate 3D microchannels by making use of a soft-lithography method.…”
Section: Soft Lithographymentioning
confidence: 99%
“…Many researchers have attempted to enhance the PVATF sensors with various optimization techniques in order to attain the best performance of the sensor by improving the sensing capabilities or characteristics, such as dielectric properties. 6,118 For instance, Karami enhanced the gas sensing characteristics of a PVA-based CdO-ZnO nanocomposite as a carbon monoxide (CO) gas sensor through optimization of the sol-gel pyrolysis method synthetic conditions. The optimized parameters included concentrations of Zn(NO 3 ) 2 , Cd(NO 3 ) 2 , and PVA, solvent composition, and pyrolysis temperature by the "one at a time" method.…”
Section: Optimization and Future Perspective Of The Pvatf Sensorsmentioning
confidence: 99%