Molecular Dynamics Investigation of the Deformation Mechanism of Gold with Variations in Mold Profiles during Nanoimprinting

Gaikwad, Abhaysinh; Desai, Salil

doi:10.3390/ma14102548

Cited by 15 publications

(6 citation statements)

References 55 publications

(50 reference statements)

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“…The lithography technique is used to transfer the master pattern of the geometric shapes onto a surface of a substrate [ 133 , 134 , 135 , 136 , 137 , 138 , 139 , 140 ]. Photolithography is primarily used for pattern transfer due to its wide applicability in the field of microelectronics [ 141 ].…”

Section: Mn Manufacturing Methodsmentioning

confidence: 99%

A Comprehensive Review of Microneedles: Types, Materials, Processes, Characterizations and Applications

2021

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Drug delivery through the skin offers many advantages such as avoidance of hepatic first-pass metabolism, maintenance of steady plasma concentration, safety, and compliance over oral or parenteral pathways. However, the biggest challenge for transdermal delivery is that only a limited number of potent drugs with ideal physicochemical properties can passively diffuse and intercellularly permeate through skin barriers and achieve therapeutic concentration by this route. Significant efforts have been made toward the development of approaches to enhance transdermal permeation of the drugs. Among them, microneedles represent one of the microscale physical enhancement methods that greatly expand the spectrum of drugs for transdermal and intradermal delivery. Microneedles typically measure 0.1–1 mm in length. In this review, microneedle materials, fabrication routes, characterization techniques, and applications for transdermal delivery are discussed. A variety of materials such as silicon, stainless steel, and polymers have been used to fabricate solid, coated, hollow, or dissolvable microneedles. Their implications for transdermal drug delivery have been discussed extensively. However, there remain challenges with sustained delivery, efficacy, cost-effective fabrication, and large-scale manufacturing. This review discusses different modes of characterization and the gaps in manufacturing technologies associated with microneedles. This review also discusses their potential impact on drug delivery, vaccine delivery, disease diagnostic, and cosmetics applications.

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Section: Mn Manufacturing Methodsmentioning

confidence: 99%

A Comprehensive Review of Microneedles: Types, Materials, Processes, Characterizations and Applications

2021

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“…ANN [91] Perovskite oxides ML analysis of perovskite oxides grown by molecular beam epitaxy. K means [92] CNT forest Using ML to predict carbon nanotube forest attributes DL, RFF [93] SrRuO 3 Utilized BO in molecular beam epitaxy BO [94] CsPbBr3 Utilized active learning algorithm to determine the optimal synthesis route Active learning algorithm [95] Nanocomposites Nanocomposites, heterogeneous materials with structures, components, or phases ranging from 1 to 100 nm, find applications in diverse fields, including food, biomedical [96][97][98][99], and electroanalysis [26,[100][101][102]. They offer a unique approach for enhancing properties through the integration of nanoscale reinforcements developed through material synthesis.…”

Section: Bo Dnn [89]mentioning

confidence: 99%

Bridging Nanomanufacturing and Artificial Intelligence—A Comprehensive Review

Nandipati,

Fatoki,

Desai

2024

Materials

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Nanomanufacturing and digital manufacturing (DM) are defining the forefront of the fourth industrial revolution—Industry 4.0—as enabling technologies for the processing of materials spanning several length scales. This review delineates the evolution of nanomaterials and nanomanufacturing in the digital age for applications in medicine, robotics, sensory technology, semiconductors, and consumer electronics. The incorporation of artificial intelligence (AI) tools to explore nanomaterial synthesis, optimize nanomanufacturing processes, and aid high-fidelity nanoscale characterization is discussed. This paper elaborates on different machine-learning and deep-learning algorithms for analyzing nanoscale images, designing nanomaterials, and nano quality assurance. The challenges associated with the application of machine- and deep-learning models to achieve robust and accurate predictions are outlined. The prospects of incorporating sophisticated AI algorithms such as reinforced learning, explainable artificial intelligence (XAI), big data analytics for material synthesis, manufacturing process innovation, and nanosystem integration are discussed.

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“…Nano-scale carbon pillars with controlled diameters, down to 25 nm, and protruded lengths of 100 nm were successfully used as a master-mold for UV-NIL [ 32 ]. Nanoimprint lithography (NIL) [ 33 , 34 , 35 , 36 , 37 ] is a versatile nanofabrication technique that can pattern nanoscale features with high fidelity resolution on a variety of substrates in combination with thin-film deposition processes [ 38 , 39 , 40 , 41 , 42 ]. Thus, it is a viable processing method to incorporate catalyst for the growth of CNTs with a high aspect ratio.…”

Section: Introductionmentioning

confidence: 99%

Nanoimprint Lithography for Next-Generation Carbon Nanotube-Based Devices

Fialkova,

Yarmolenko,

Krishnaswamy

et al. 2024

Nanomaterials

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This research reports the development of 3D carbon nanostructures that can provide unique capabilities for manufacturing carbon nanotube (CNT) electronic components, electrochemical probes, biosensors, and tissue scaffolds. The shaped CNT arrays were grown on patterned catalytic substrate by chemical vapor deposition (CVD) method. The new fabrication process for catalyst patterning based on combination of nanoimprint lithography (NIL), magnetron sputtering, and reactive etching techniques was studied. The optimal process parameters for each technique were evaluated. The catalyst was made by deposition of Fe and Co nanoparticles over an alumina support layer on a Si/SiO2 substrate. The metal particles were deposited using direct current (DC) magnetron sputtering technique, with a particle ranging from 6 nm to 12 nm and density from 70 to 1000 particles/micron. The Alumina layer was deposited by radio frequency (RF) and reactive pulsed DC sputtering, and the effect of sputtering parameters on surface roughness was studied. The pattern was developed by thermal NIL using Si master-molds with PMMA and NRX1025 polymers as thermal resists. Catalyst patterns of lines, dots, and holes ranging from 70 nm to 500 nm were produced and characterized by scanning electron microscopy (SEM) and atomic force microscopy (AFM). Vertically aligned CNTs were successfully grown on patterned catalyst and their quality was evaluated by SEM and micro-Raman. The results confirm that the new fabrication process has the ability to control the size and shape of CNT arrays with superior quality.

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Molecular Dynamics Investigation of the Deformation Mechanism of Gold with Variations in Mold Profiles during Nanoimprinting

Cited by 15 publications

References 55 publications

A Comprehensive Review of Microneedles: Types, Materials, Processes, Characterizations and Applications

A Comprehensive Review of Microneedles: Types, Materials, Processes, Characterizations and Applications

Bridging Nanomanufacturing and Artificial Intelligence—A Comprehensive Review

Nanoimprint Lithography for Next-Generation Carbon Nanotube-Based Devices

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