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Current Nanoscience

Editor-in-Chief

ISSN (Print): 1573-4137
ISSN (Online): 1875-6786

Review Article

From Nanomaterials to Well-Defined Structures: Exploring Layer-bylayer Assembly Techniques

In Press, (this is not the final "Version of Record"). Available online 29 December, 2023
Author(s): Yassmen Hamzat, Alaa A. A. Aljabali*, Mohamed El-Tanani and Murtaza M. Tambuwala
Published on: 29 December, 2023

DOI: 10.2174/0115734137280856231219102128

Price: $95

Abstract

Layered assemblies are essential in materials nanoarchitectonics, which organize nanomaterials into well-defined structures. This overview highlights the significance, advancements, challenges, and future directions of layered assembly. The layer-by-layer (LBL) process relies on electrostatic interactions and self-assembly, which are influenced by factors such as charge, pH, and environmental conditions. Solution-based, vapor-phase, and templateguided methods offer distinct advantages and limitations for tailoring the layered structures. Polymeric, inorganic, and hybrid nanomaterials have diverse functionalities for specific applications. Surface modification, functionalization techniques, templating, and patterning methods play key roles in the customization of layered structures. Integration of stimuli-responsive assemblies enables dynamic control and advanced functionality. Characterization techniques, including spectroscopy and microscopy, provide insights into the structure, morphology, and properties of the layered assemblies. The evaluation of the mechanical and electrical properties enhances the understanding of their behavior and suitability for applications. Layered assemblies find applications in biomaterials, optoelectronics, energy storage, and conversion, promising advances in tissue engineering, optoelectronic devices, and battery technology. Challenges in scalability, stability, and material selection necessitate interdisciplinary collaboration, process standardization, innovation, optimization, and sustainability. Advanced characterization techniques and artificial intelligence (AI) integration hold promise for future advancements in layered assemblies. Layered assemblies have great potential in materials science and technology, offering precise control over the structure and functionality of breakthroughs in various applications. Continued research and collaboration will drive progress in this field and pave the way for innovative materials and technologies. Scientists are encouraged to explore the possibilities of layered assemblies, unlock novel solutions to global challenges, and shape the future of nanomaterial engineering.


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