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Nanomanufacturing, Volume 4, Issue 1

March 2024 - 5 articles

Cover Story: Nanoporous anodic aluminum oxide (AAO) is a well-known porous nanomaterial template for electrical sensing. In resistive AAO humidity sensors, the signal intensity primarily depends on the thickness of AAO. Sensor response indicates the change in signal ratio from different relative humidity and is therefore positively correlated with the specific surface area. In terms of sensor differential sensitivity, the main structural factor is the total surface area. The performance of sensors is concerned with different nanostructures by adjusting process parameters. With the well-controlled profile of AAO, high-performance sensors will be able to be applied in our living environment and promote our quality of life. View this paper

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Article

6 Citations

3,114 Views

12 Pages

UV Nanoimprint Lithography—Impact of Coating Techniques on Pattern Quality

Johanna Rimböck,
Patrick Schuster,
Lisa Vsetecka and
Christine Thanner

Nanomanufacturing2024, 4(1), 69-80;https://doi.org/10.3390/nanomanufacturing4010005

14 March 2024

In this work, three different coating techniques are compared and their applicability for ultraviolet nanoimprint lithography (UV-NIL) is investigated. As UV-NIL is considered a suitable volume manufacturing production solution for various emerging a...

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Article

6 Citations

2,383 Views

11 Pages

Influence of Anodic Aluminum Oxide Nanostructures on Resistive Humidity Sensing

Chin-An Ku,
Chia-Wei Hung and
Chen-Kuei Chung

Nanomanufacturing2024, 4(1), 58-68;https://doi.org/10.3390/nanomanufacturing4010004

8 March 2024

Humidity nanosensors play a vital role in modern technology industries, including weather forecasts, industrial manufacturing, agriculture, food and chemistry storage. In recent years, research on humidity sensors has focused on different materials s...

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Article

2 Citations

1,709 Views

13 Pages

Safe Explosion Works Promoted by 2D Graphene Structures Produced under the Condition of Self-Propagation High-Temperature Synthesis

Alexander Petrovich Voznyakovskii,
Mikhail Alekseevich Ilyushin,
Aleksei Alexandrovich Vozniakovskii,
Irina Vladimirovna Shugalei and
Georgy Georgievich Savenkov

Nanomanufacturing2024, 4(1), 45-57;https://doi.org/10.3390/nanomanufacturing4010003

8 February 2024

The paper presents the results of a study on the effectiveness of few-layer graphene synthesized under SHS conditions from lignin as a modifying additive in creating composite pyrotechnic complexes based on porous silicon and calcium perchlorate. It...

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Article

2 Citations

2,471 Views

18 Pages

Influence of γ-Irradiation on the Electronic Structure and the Chemical and Mechanical Properties of Poly(hydroxybutyrate-valerate)/Poly(caprolactone) Blends: Insights from Experimental Data and Computational Approaches

Francisco Rosario,
João Paulo Almirão de Jesus,
Suzan Aline Casarin and
Felipe de Almeida La Porta

Nanomanufacturing2024, 4(1), 27-44;https://doi.org/10.3390/nanomanufacturing4010002

10 January 2024

In this study, we investigated the influence of γ-irradiation (0, 50, and 100 kGy) doses on the chemical and mechanical properties of biodegradable poly(hydroxybutyrate-valerate)/poly(caprolactone) (PHBV/PCL) polymer blends rich in low-molar-ma...

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Article

1 Citations

2,464 Views

26 Pages

New Polymers In Silico Generation and Properties Prediction

Andrey A. Knizhnik,
Pavel V. Komarov,
Boris V. Potapkin,
Denis B. Shirabaykin,
Alexander S. Sinitsa and
Sergey V. Trepalin

Nanomanufacturing2024, 4(1), 1-26;https://doi.org/10.3390/nanomanufacturing4010001

19 December 2023

We present a theoretical approach for the in silico generation of new polymer structures for the systematic search for new materials with advanced properties. It is based on Bicerano’s Regression Model (RM), which uses the structure of the smal...

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