scholarly journals Recent Progress in the Fabrication of Low Dimensional Nanostructures via Surface-Assisted Transforming and Coupling

2017 ◽  
Vol 2017 ◽  
pp. 1-17 ◽  
Author(s):  
Jinbang Hu ◽  
Zhaofeng Liang ◽  
Kongchao Shen ◽  
Haoliang Sun ◽  
Zheng Jiang ◽  
...  
Keyword(s):  
Phase Transformations ◽  
Self Assembly ◽  
Recent Progress ◽  
Solid Surfaces ◽  
Ullmann Reaction ◽  
Surface Polymerization ◽  
Low Dimensional ◽  
Synthetic Approaches ◽  
2D Network ◽  
Selection Of

Polymerization of functional organics into covalently cross-linked nanostructures via bottom-up approach on solid surfaces has attracted tremendous interest recently, due to its appealing potentials in fabricating novel and artificial low dimensional nanomaterials. While there are various synthetic approaches being proposed and explored, this paper reviews the recent progress of on-surface coupling strategies towards the synthesis of low dimensional nanostructures ranging from 1D nanowire to 2D network and describes their advantages and drawbacks during on-surface process and phase transformations, for example, from molecular self-assembly to on-surface polymerization. Specifically, Ullmann reaction is discussed in detail and the mechanism governing nanostructures’ transforming effect by surface treatment is exploited. In the end, it is summarized that the hierarchical polymerization combined with Ullmann coupling makes it possible to realize the selection of different synthetic pathways and phase transformations and obtain novel organometallic nanowire with metalorganic bonding.

Synthetic approaches to construct viral capsid-like spherical nanomaterials

2018 ◽  
Vol 54 (65) ◽  
pp. 8944-8959 ◽  
Author(s):  
Kazunori Matsuura
Keyword(s):  
Self Assembly ◽  
Recent Progress ◽  
The Self ◽  
Viral Capsid ◽  
Feature Article ◽  
Synthetic Approaches

This feature article describes recent progress in synthetic strategies to construct viral capsid-like spherical nanomaterials using the self-assembly of peptides and/or proteins.

Selection of Wear Resistive Nano coating in En8 Steel

2019 ◽  
Vol 1 (2) ◽  
pp. 73-80
Author(s):  
Ilangkumaran M ◽  
Tiruvenkadam N ◽  
Saranya M ◽  
Thulsidharan R
Keyword(s):  
Mild Steel ◽  
Mechanical Action ◽  
Medium Carbon Steel ◽  
Solid Surfaces ◽  
Material Surface ◽  
Multi Criteria Decision Making ◽  
Sliding Surface ◽  
Medium Carbon ◽  
Nano Coating ◽  
Selection Of

Where is the abrasive or gradual removal of materials at solid surfaces? It is caused due to the interaction between the sliding surface by mechanical action. The abrasive wears can be recognised as scratches or grooves. To enhance the wear resistance suitable nanocoating is applied on the material surface for better tribological properties such as hardness and toughness. Wear resistant nanocoating is used to reduce or eradicate wear to extend the lifetime of the EN8 steel. EN8 is unalloyed medium carbon steel with better mechanical properties than mild steel and also readily machinable in any condition. The nanocoating materials such as Al2O3, TiO2, SiC, ZrO2, WS2, Si3N4 etc., are used to reduce wear and to enhance hardness and toughness on mild steel through various nanocoating techniques. This paper deals with selection of suitable nanocoating material through AHP (Analytical hierarchal process) - a multi-criteria decision-making method.

scholarly journals Principled approach to the selection of the embedding dimension of networks

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Weiwei Gu ◽  
Aditya Tandon ◽  
Yong-Yeol Ahn ◽  
Filippo Radicchi
Keyword(s):  
Real World ◽  
Structural Information ◽  
General Purpose ◽  
Embedding Dimension ◽  
Network Embedding ◽  
Machine Learning Technique ◽  
Learning Technique ◽  
Low Dimensional ◽  
Large Corpus ◽  
Selection Of

AbstractNetwork embedding is a general-purpose machine learning technique that encodes network structure in vector spaces with tunable dimension. Choosing an appropriate embedding dimension – small enough to be efficient and large enough to be effective – is challenging but necessary to generate embeddings applicable to a multitude of tasks. Existing strategies for the selection of the embedding dimension rely on performance maximization in downstream tasks. Here, we propose a principled method such that all structural information of a network is parsimoniously encoded. The method is validated on various embedding algorithms and a large corpus of real-world networks. The embedding dimension selected by our method in real-world networks suggest that efficient encoding in low-dimensional spaces is usually possible.

scholarly journals Self-assembly of TiO2/ZIF-8 nanocomposites for varied photocatalytic CO2 reduction with H2O vapor induced by different synthetic methods

2021 ◽  
Author(s):  
Yan-Hong Zou ◽  
Hai-Ning Wang ◽  
Xing Meng ◽  
Hong-Xu Sun ◽  
Zi-Yan Zhou
Keyword(s):  
Self Assembly ◽  
Co2 Reduction ◽  
Synthetic Methods ◽  
Photocatalytic Performances ◽  
Synthetic Approaches

Different synthetic approaches give birth to different structures, which result in varied photocatalytic performances.

scholarly journals Template-Free Self-Assembly of Two-Dimensional Polymers into Nano/Microstructured Materials

Molecules ◽  
2021 ◽  
Vol 26 (11) ◽  
pp. 3310
Author(s):  
Shengda Liu ◽  
Jiayun Xu ◽  
Xiumei Li ◽  
Tengfei Yan ◽  
Shuangjiang Yu ◽  
...  
Keyword(s):  
Self Assembly ◽  
Recent Progress ◽  
Two Dimensional ◽  
Subsequent Removal ◽  
The Past ◽  
2D Polymers ◽  
Template Free ◽  
Self Assembled ◽  
The Relationship ◽  
Polymer Tubes

In the past few decades, enormous efforts have been made to synthesize covalent polymer nano/microstructured materials with specific morphologies, due to the relationship between their structures and functions. Up to now, the formation of most of these structures often requires either templates or preorganization in order to construct a specific structure before, and then the subsequent removal of previous templates to form a desired structure, on account of the lack of “self-error-correcting” properties of reversible interactions in polymers. The above processes are time-consuming and tedious. A template-free, self-assembled strategy as a “bottom-up” route to fabricate well-defined nano/microstructures remains a challenge. Herein, we introduce the recent progress in template-free, self-assembled nano/microstructures formed by covalent two-dimensional (2D) polymers, such as polymer capsules, polymer films, polymer tubes and polymer rings.

scholarly journals The Recent Progress of Natural Sources and Manufacturing Process of Biodiesel: A Review

2021 ◽  
Vol 13 (10) ◽  
pp. 5599
Author(s):  
Eko Supriyanto ◽  
Jayan Sentanuhady ◽  
Ariyana Dwiputra ◽  
Ari Permana ◽  
Muhammad Akhsin Muflikhun
Keyword(s):  
Recent Progress ◽  
Review Paper ◽  
Ghg Emissions ◽  
Production Method ◽  
Biodiesel Production ◽  
Natural Sources ◽  
Harmful Emissions ◽  
Daily Energy ◽  
The Cost ◽  
Selection Of

Biodiesel has caught the attention of many researchers because it has great potential to be a sustainable fossil fuel substitute. Biodiesel has a non-toxic and renewable nature and has been proven to emit less environmentally harmful emissions such as hydrocarbons (HC), and carbon monoxide (CO) as smoke particles during combustion. Problems related to global warming caused by greenhouse gas (GHG) emissions could also be solved by utilizing biodiesel as a daily energy source. However, the expensive cost of biodiesel production, mainly because of the cost of natural feedstock, hinders the potential of biodiesel commercialization. The selection of natural sources of biodiesel should be made with observations from economic, agricultural, and technical perspectives to obtain one feasible biodiesel with superior characteristics. This review paper presents a detailed overview of various natural sources, their physicochemical properties, the performance, emission, and combustion characteristics of biodiesel when used in a diesel engine. The recent progress in studies about natural feedstocks and manufacturing methods used in biodiesel production were evaluated in detail. Finally, the findings of the present work reveal that transesterification is currently the most superior and commonly used biodiesel production method compared to other methods available.

scholarly journals Recent progress in periodic patterning fabricated by self-assembly of colloidal spheres for optical applications

2020 ◽  
Vol 63 (8) ◽  
pp. 1418-1437 ◽  
Author(s):  
Jing Liu ◽  
Xingang Zhang ◽  
Wenqing Li ◽  
Changzhong Jiang ◽  
Ziyu Wang ◽  
...  
Keyword(s):  
Self Assembly ◽  
Recent Progress ◽  
Colloidal Spheres ◽  
Optical Applications

scholarly journals Mitochondria-Targeted Self-Assembly of Peptide-Based Nanomaterials

2021 ◽  
Vol 9 ◽  
Author(s):  
Zhen Luo ◽  
Yujuan Gao ◽  
Zhongyu Duan ◽  
Yu Yi ◽  
Hao Wang
Keyword(s):  
Clinical Trials ◽  
Cancer Therapy ◽  
Self Assembly ◽  
Recent Progress ◽  
Assembly Systems ◽  
Targeted Cancer Therapy ◽  
Cancer Treatments ◽  
Self Assembling ◽  
Stimuli Response

Mitochondria are well known to serve as the powerhouse for cells and also the initiator for some vital signaling pathways. A variety of diseases are discovered to be associated with the abnormalities of mitochondria, including cancers. Thus, targeting mitochondria and their metabolisms are recognized to be promising for cancer therapy. In recent years, great efforts have been devoted to developing mitochondria-targeted pharmaceuticals, including small molecular drugs, peptides, proteins, and genes, with several molecular drugs and peptides enrolled in clinical trials. Along with the advances of nanotechnology, self-assembled peptide-nanomaterials that integrate the biomarker-targeting, stimuli-response, self-assembly, and therapeutic effect, have been attracted increasing interest in the fields of biotechnology and nanomedicine. Particularly, in situ mitochondria-targeted self-assembling peptides that can assemble on the surface or inside mitochondria have opened another dimension for the mitochondria-targeted cancer therapy. Here, we highlight the recent progress of mitochondria-targeted peptide-nanomaterials, especially those in situ self-assembly systems in mitochondria, and their applications in cancer treatments.

Solvent-tuning of ordered mesoporous silicas prepared through evaporation-induced self-assembly templated by poly(ethylene oxide-b-ε-caprolactone)

RSC Advances ◽  
2014 ◽  
Vol 4 (105) ◽  
pp. 61012-61021 ◽  
Author(s):  
Wei-Cheng Chu ◽  
Chen-Xin Lin ◽  
Shiao-Wei Kuo
Keyword(s):  
Ethylene Oxide ◽  
Self Assembly ◽  
Mesoporous Silicas ◽  
Size Distributions ◽  
Ordered Mesoporous ◽  
Pore Size Distributions ◽  
Evaporation Induced Self Assembly ◽  
Poly Ethylene Oxide ◽  
Poly Ethylene ◽  
Selection Of

Highly ordered mesoporous silicas having narrow pore size distributions and various morphologies merely through selection of an appropriate solvent.

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