scholarly journals Recent Progress, Challenges, and Prospects in Two-Dimensional Photo-Catalyst Materials and Environmental Remediation

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Karim Khan ◽  
Ayesha Khan Tareen ◽  
Muhammad Aslam ◽  
Rizwan Ur Rehman Sagar ◽  
Bin Zhang ◽  
...  

AbstractThe successful photo-catalyst library gives significant information on feature that affects photo-catalytic performance and proposes new materials. Competency is considerably significant to form multi-functional photo-catalysts with flexible characteristics. Since recently, two-dimensional materials (2DMs) gained much attention from researchers, due to their unique thickness-dependent uses, mainly for photo-catalytic, outstanding chemical and physical properties. Photo-catalytic water splitting and hydrogen (H2) evolution by plentiful compounds as electron (e−) donors is estimated to participate in constructing clean method for solar H2-formation. Heterogeneous photo-catalysis received much research attention caused by their applications to tackle numerous energy and environmental issues. This broad review explains progress regarding 2DMs, significance in structure, and catalytic results. We will discuss in detail current progresses of approaches for adjusting 2DMs-based photo-catalysts to assess their photo-activity including doping, hetero-structure scheme, and functional formation assembly. Suggested plans, e.g., doping and sensitization of semiconducting 2DMs, increasing electrical conductance, improving catalytic active sites, strengthening interface coupling in semiconductors (SCs) 2DMs, forming nano-structures, building multi-junction nano-composites, increasing photo-stability of SCs, and using combined results of adapted approaches, are summed up. Hence, to further improve 2DMs photo-catalyst properties, hetero-structure design-based 2DMs’ photo-catalyst basic mechanism is also reviewed.

2020 ◽  
Vol 8 (35) ◽  
pp. 18232-18243
Author(s):  
Jianxin Han ◽  
Qinghui Wei ◽  
Jifu Zhang ◽  
Bo Zhang ◽  
Can Li ◽  
...  

A triple structure engineering strategy, combining amorphization, two-dimensional morphology design and Fe doping, is developed to promote the OER activity of metal phosphates, simultaneously enhancing the catalytic active sites and intrinsic activity.


CrystEngComm ◽  
2021 ◽  
Author(s):  
Qing Luo ◽  
Zhen Ding ◽  
Huamin Sun ◽  
Zhen Cheng ◽  
Naien SHI ◽  
...  

Ultrathin two-dimensional (2D) metal-organic framework (MOF) nanosheets are prosperous advanced materials due to their particularly thin thickness and exposed active sites. The difficulty in the controlled synthesis of 2D MOF...


Author(s):  
E.G. Shidlovskaya ◽  
L. Schimansky-Geier ◽  
Yu.M. Romanovsky

A two dimensional model for the substrate inside a pocket of an active site of an enzyme is presented and investigated as a vibrational system. The parameters of the system are evaluated for α-chymotrypsin. In the case of internal resonance it is analytically and numerically shown that the energy concentrated on a certain degree of freedom might be several times larger than in the non-resonant case. Additionally, the system is driven by harmonic excitations and again energy due to nonlinear phenomena is redistributed inhomogeneously. These results may be of importance for the determination of the rates of catalytic events of substrates bound in pockets of active sites.


2021 ◽  
Vol 56 (33) ◽  
pp. 18592-18607
Author(s):  
Gnanavel Angamuthu ◽  
Debasish Mohanty ◽  
Venkatesan Rengarajan

2019 ◽  
Vol 11 (12) ◽  
pp. 1405 ◽  
Author(s):  
Razika Bazine ◽  
Huayi Wu ◽  
Kamel Boukhechba

In this article, we propose two effective frameworks for hyperspectral imagery classification based on spatial filtering in Discrete Cosine Transform (DCT) domain. In the proposed approaches, spectral DCT is performed on the hyperspectral image to obtain a spectral profile representation, where the most significant information in the transform domain is concentrated in a few low-frequency components. The high-frequency components that generally represent noisy data are further processed using a spatial filter to extract the remaining useful information. For the spatial filtering step, both two-dimensional DCT (2D-DCT) and two-dimensional adaptive Wiener filter (2D-AWF) are explored. After performing the spatial filter, an inverse spectral DCT is applied on all transformed bands including the filtered bands to obtain the final preprocessed hyperspectral data, which is subsequently fed into a linear Support Vector Machine (SVM) classifier. Experimental results using three hyperspectral datasets show that the proposed framework Cascade Spectral DCT Spatial Wiener Filter (CDCT-WF_SVM) outperforms several state-of-the-art methods in terms of classification accuracy, the sensitivity regarding different sizes of the training samples, and computational time.


MRS Advances ◽  
2020 ◽  
Vol 5 (64) ◽  
pp. 3437-3452
Author(s):  
Rui Chen ◽  
Jinhua Cao ◽  
Stephen Gee ◽  
Yin Liu ◽  
Jie Yao

AbstractTwo-dimensional (2D) layered materials hosting dislocations have attracted considerable research attention in recent years. In particular, screw dislocations can result in a spiral topology and an interlayer twist in the layered materials, significantly impacting the stacking order and symmetry of the layers. Moreover, the dislocations with large strain and heavily distorted atomic registry can result in a local modification of the structures around the dislocation. The dislocations thus provide a useful route to engineering optical, electrical, thermal, mechanical and catalytic properties of the 2D layered materials, which show great potential to bring new functionalities. This article presents a comprehensive review of the experimental and theoretical progress on the growth and properties of the dislocated 2D layered materials. It also offers an outlook on the future works in this promising research field.


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