A brief review of co-doping

Zhang, Jingzhao; Tse, Kinfai; Wong, Man Hon; Zhang, Yiou; Zhu, Junyi

doi:10.1007/s11467-016-0577-2

Cited by 112 publications

(56 citation statements)

References 257 publications

(359 reference statements)

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“…The message passing operations are used to update the representations of each of the element nodes such that they are contextually aware of the types and quantities of other elements present in the material. This process allows the model to learn material-specific representations for each of its constituent elements and pick up on physically relevant effects such as codoping 30 that would otherwise be obscured within the construction of hand-engineered materials descriptors. We refer to this approach as Roost (Representation Learning from Stoichiometry).…”

Section: Resultsmentioning

confidence: 99%

Predicting materials properties without crystal structure: deep representation learning from stoichiometry

2020

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Machine learning has the potential to accelerate materials discovery by accurately predicting materials properties at a low computational cost. However, the model inputs remain a key stumbling block. Current methods typically use descriptors constructed from knowledge of either the full crystal structure — therefore only applicable to materials with already characterised structures — or structure-agnostic fixed-length representations hand-engineered from the stoichiometry. We develop a machine learning approach that takes only the stoichiometry as input and automatically learns appropriate and systematically improvable descriptors from data. Our key insight is to treat the stoichiometric formula as a dense weighted graph between elements. Compared to the state of the art for structure-agnostic methods, our approach achieves lower errors with less data.

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Section: Resultsmentioning

confidence: 99%

Predicting materials properties without crystal structure: deep representation learning from stoichiometry

2020

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“…As mentioned earlier, the catalytical efficiency of nano-TiO 2 can be enhanced significantly by co-doping either two metals/nonmetals or one metal-non metal pairing [221]. Co-doping may increase OHgroups on to the surface of nano-TiO 2 improving the stability of desired defects in TiO 2 crystal lattice and reducing the photo-generated electron hole pair recombinations [222,223]. For example, Buda and Czech et al (2013) achieved an effective (80%) degradation of diclofenac in wastewater by using carbon/nitrogen co-doped TiO 2 [224].…”

Section: Nano-tio 2 With Dopantsmentioning

confidence: 96%

Removal of Pharmaceutical Contaminants in Wastewater Using Nanomaterials: A Comprehensive Review

Chauhan

Sillu

Agnihotri

2019

CDM

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Background: The limitless presence of pharmaceutical contaminants in discharged wastewater has emerged as a threat to aquatic species and humans. Their presence in drinking water has although raised substantial concerns, very little is known about the fate and ecological impacts of these pollutants. As a result, these pollutants are inevitably introduced to our food chain at trace concentrations. Unfortunately, the conventional wastewater treatment techniques are unable to treat pharmaceuticals completely with practical limitations. The focus has now been shifted towards nanotechnology for the successful remediation of these persistent pollutants. Thus, the current review specifically focuses on providing readers brief yet sharp insights into applications of various nanomaterials for the removal of pharmaceutical contaminants. Methods: An exhaustive collection of bibliographic database was done with articles having high impact and citations in relevant research domains. An in-depth analysis of screened papers was done through standard tools. Studies were categorized according to the use of nanoscale materials as nano-adsorbents (graphene, carbon nanotubes), nanophotocatalysts (metal, metal oxide), nano-filtration, and ozonation for promising alternative technologies for the efficient removal of recalcitrant contaminants. Results: A total of 365 research articles were selected. The contemporary advancements in the field of nanomaterials for drinking and wastewater treatment have been thoroughly analyzed along with their future perspectives. Conclusion: The recommendations provided in this article will be useful to adopt novel strategies for on-site removal of the emerging contaminants in pharmaceutical effluents and related industries.

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“…Comparing with a single-element doping, enhanced photocatalytic performance of co-doped ZnO arises from the synergistic effect of each ionic dopants in increasing visible light absorption. As such, co-doping is a promising approach for tuning the dopant populations, electronic properties, and magnetic properties of metal oxide semiconductors [120]. Recently, Modwi et al reported that doping ZnO with 5% Cu alone reduces its bandgap from 3.15 to 2.95 eV.…”

Section: Transition Metal Doped Znomentioning

confidence: 99%

Recent Advances in Zinc Oxide Nanostructures with Antimicrobial Activities

Liao

Tjong

2020

IJMS

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This article reviews the recent developments in the synthesis, antibacterial activity, and visible-light photocatalytic bacterial inactivation of nano-zinc oxide. Polycrystalline wurtzite ZnO nanostructures with a hexagonal lattice having different shapes can be synthesized by means of vapor-, liquid-, and solid-phase processing techniques. Among these, ZnO hierarchical nanostructures prepared from the liquid phase route are commonly used for antimicrobial activity. In particular, plant extract-mediated biosynthesis is a single step process for preparing nano-ZnO without using surfactants and toxic chemicals. The phytochemical molecules of natural plant extracts are attractive agents for reducing and stabilizing zinc ions of zinc salt precursors to form green ZnO nanostructures. The peel extracts of certain citrus fruits like grapefruits, lemons and oranges, acting as excellent chelating agents for zinc ions. Furthermore, phytochemicals of the plant extracts capped on ZnO nanomaterials are very effective for killing various bacterial strains, leading to low minimum inhibitory concentration (MIC) values. Bioactive phytocompounds from green ZnO also inhibit hemolysis of Staphylococcus aureus infected red blood cells and inflammatory activity of mammalian immune system. In general, three mechanisms have been adopted to explain bactericidal activity of ZnO nanomaterials, including direct contact killing, reactive oxygen species (ROS) production, and released zinc ion inactivation. These toxic effects lead to the destruction of bacterial membrane, denaturation of enzyme, inhibition of cellular respiration and deoxyribonucleic acid replication, causing leakage of the cytoplasmic content and eventual cell death. Meanwhile, antimicrobial activity of doped and modified ZnO nanomaterials under visible light can be attributed to photogeneration of ROS on their surfaces. Thus particular attention is paid to the design and synthesis of visible light-activated ZnO photocatalysts with antibacterial properties

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A brief review of co-doping

Cited by 112 publications

References 257 publications

Predicting materials properties without crystal structure: deep representation learning from stoichiometry

Predicting materials properties without crystal structure: deep representation learning from stoichiometry

Removal of Pharmaceutical Contaminants in Wastewater Using Nanomaterials: A Comprehensive Review

Recent Advances in Zinc Oxide Nanostructures with Antimicrobial Activities

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