scholarly journals Engineering of Layered Metal Dichalcogenides: Introducing Imperfections to Make it Perfect

2021 ◽  
Author(s):  
Parbati Basu ◽  
Kuntal Chatterjee
Keyword(s):  
Recent Progress ◽  
Research Direction ◽  
The Past ◽  
Challenges And Opportunities ◽  
Metal Dichalcogenides ◽  
Phase Engineering

Abstract In the past decade, the surge in research of layered metal dichalcogenides (LMD) has already demonstrated the tremendous potentiality of this particular category of materials towards technology. But in parallel, it is also established that to make them technology-perfect meticulous engineering to impose ‘imperfections’ within the materials is inevitable. So exploring different LMD with inexorable and appropriate engineering techniques for the enhancement of their functionality is the burning issue for materials scientists. This review comprehensively focuses on different pathways of introducing ‘imperfections’ within various LMDs, mainly by engineering the thickness, morphology, defect, doping and phase. Based on recent progress thickness and shape engineering of LMDs have been discussed with their success and modulation by defect has been examined in detail. Doping and phase engineering of LMDs have also been illustrated with the light of development till now. Finally, challenges and opportunities associated with this research direction are highlighted.

Recent progress in the CVD-growth of 2D vertical heterostructures based on transition metal dichalcogenides

CrystEngComm ◽  
2021 ◽  
Author(s):  
Xia Jiang ◽  
Fei Chen ◽  
Shichao Zhao ◽  
Weitao Su
Keyword(s):  
Transition Metal ◽  
Recent Progress ◽  
Transition Metal Dichalcogenides ◽  
Transition Metal Dichalcogenide ◽  
Two Dimensional ◽  
The Past ◽  
Metal Dichalcogenides ◽  
Cvd Growth

Two-dimensional (2D) vertical heterostructures (HSs), which are constructed via vertically stacking two or more 2D transition metal dichalcogenide (TMDC) materials, had been intensively studied during the past several years. However,...

Brain-eating Amoebae Infection: Challenges and Opportunities in Chemotherapy

2019 ◽  
Vol 19 (12) ◽  
pp. 980-987 ◽  
Author(s):  
Mohammad Ridwane Mungroo ◽  
Ayaz Anwar ◽  
Naveed Ahmed Khan ◽  
Ruqaiyyah Siddiqui
Keyword(s):  
Mortality Rate ◽  
Free Living ◽  
Outdoor Activities ◽  
The Past ◽  
Free Living Amoeba ◽  
Challenges And Opportunities ◽  
Life Threatening ◽  
The Central Nervous System ◽  
Living Nature ◽  
Treatment And Diagnosis

Pathogenic free-living amoeba are known to cause a devastating infection of the central nervous system and are often referred to as “brain-eating amoebae”. The mortality rate of more than 90% and free-living nature of these amoebae is a cause for concern. It is distressing that the mortality rate has remained the same over the past few decades, highlighting the lack of interest by the pharmaceutical industry. With the threat of global warming and increased outdoor activities of public, there is a need for renewed interest in identifying potential anti-amoebic compounds for successful prognosis. Here, we discuss the available chemotherapeutic options and opportunities for potential strategies in the treatment and diagnosis of these life-threatening infections.

Recent Progress in Machine Learning-based Prediction of Peptide Activity for Drug Discovery

2019 ◽  
Vol 19 (1) ◽  
pp. 4-16 ◽  
Author(s):  
Qihui Wu ◽  
Hanzhong Ke ◽  
Dongli Li ◽  
Qi Wang ◽  
Jiansong Fang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Drug Discovery ◽  
Large Scale ◽  
Recent Progress ◽  
High Specificity ◽  
Learning Approaches ◽  
Anticancer Peptides ◽  
The Past ◽  
Traditional Approaches ◽  
Large Scale Screening

Over the past decades, peptide as a therapeutic candidate has received increasing attention in drug discovery, especially for antimicrobial peptides (AMPs), anticancer peptides (ACPs) and antiinflammatory peptides (AIPs). It is considered that the peptides can regulate various complex diseases which are previously untouchable. In recent years, the critical problem of antimicrobial resistance drives the pharmaceutical industry to look for new therapeutic agents. Compared to organic small drugs, peptide- based therapy exhibits high specificity and minimal toxicity. Thus, peptides are widely recruited in the design and discovery of new potent drugs. Currently, large-scale screening of peptide activity with traditional approaches is costly, time-consuming and labor-intensive. Hence, in silico methods, mainly machine learning approaches, for their accuracy and effectiveness, have been introduced to predict the peptide activity. In this review, we document the recent progress in machine learning-based prediction of peptides which will be of great benefit to the discovery of potential active AMPs, ACPs and AIPs.

scholarly journals Recent Progress of Fluxgate Magnetic Sensors: Basic Research and Application

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1500
Author(s):  
Songrui Wei ◽  
Xiaoqi Liao ◽  
Han Zhang ◽  
Jianhua Pang ◽  
Yan Zhou
Keyword(s):  
Recent Progress ◽  
Electronic Devices ◽  
Basic Research ◽  
Research Direction ◽  
Magnetic Sensor ◽  
Magnetic Sensors ◽  
Future Research ◽  
Calibration Methods ◽  
Wearable Electronic ◽  
Wearable Electronic Devices

Fluxgate magnetic sensors are especially important in detecting weak magnetic fields. The mechanism of a fluxgate magnetic sensor is based on Faraday’s law of electromagnetic induction. The structure of a fluxgate magnetic sensor mainly consists of excitation windings, core and sensing windings, similar to the structure of a transformer. To date, they have been applied to many fields such as geophysics and astro-observations, wearable electronic devices and non-destructive testing. In this review, we report the recent progress in both the basic research and applications of fluxgate magnetic sensors, especially in the past two years. Regarding the basic research, we focus on the progress in lowering the noise, better calibration methods and increasing the sensitivity. Concerning applications, we introduce recent work about fluxgate magnetometers on spacecraft, unmanned aerial vehicles, wearable electronic devices and defect detection in coiled tubing. Based on the above work, we hope that we can have a clearer prospect about the future research direction of fluxgate magnetic sensor.

scholarly journals The first 10 years of the international coordination network for standards in systems and synthetic biology (COMBINE)

2020 ◽  
Vol 17 (2-3) ◽  
Author(s):  
Dagmar Waltemath ◽  
Martin Golebiewski ◽  
Michael L Blinov ◽  
Padraig Gleeson ◽  
Henning Hermjakob ◽  
...  
Keyword(s):  
Synthetic Biology ◽  
Data Model ◽  
Computational Models ◽  
Life Sciences ◽  
The Past ◽  
Challenges And Opportunities ◽  
Stakeholder Workshop ◽  
Software Engineers ◽  
Future Work ◽  
Modeling In Biology

AbstractThis paper presents a report on outcomes of the 10th Computational Modeling in Biology Network (COMBINE) meeting that was held in Heidelberg, Germany, in July of 2019. The annual event brings together researchers, biocurators and software engineers to present recent results and discuss future work in the area of standards for systems and synthetic biology. The COMBINE initiative coordinates the development of various community standards and formats for computational models in the life sciences. Over the past 10 years, COMBINE has brought together standard communities that have further developed and harmonized their standards for better interoperability of models and data. COMBINE 2019 was co-located with a stakeholder workshop of the European EU-STANDS4PM initiative that aims at harmonized data and model standardization for in silico models in the field of personalized medicine, as well as with the FAIRDOM PALs meeting to discuss findable, accessible, interoperable and reusable (FAIR) data sharing. This report briefly describes the work discussed in invited and contributed talks as well as during breakout sessions. It also highlights recent advancements in data, model, and annotation standardization efforts. Finally, this report concludes with some challenges and opportunities that this community will face during the next 10 years.

ChemInform Abstract: Phase Engineering of Transition Metal Dichalcogenides

ChemInform ◽  
2015 ◽  
Vol 46 (27) ◽  
pp. no-no
Author(s):  
Damien Voiry ◽  
Aditya Mohite ◽  
Manish Chhowalla
Keyword(s):  
Transition Metal ◽  
Transition Metal Dichalcogenides ◽  
Metal Dichalcogenides ◽  
Phase Engineering

scholarly journals Strain Induced Phase Transition of WS2 by Local Dewetting of Au/Mica Film upon Annealing

Surfaces ◽  
2020 ◽  
Vol 4 (1) ◽  
pp. 1-8
Author(s):  
Tomasz Kosmala ◽  
Pawel Palczynski ◽  
Matteo Amati ◽  
Luca Gregoratti ◽  
Hikmet Sezen ◽  
...  
Keyword(s):  
Phase Transition ◽  
Transition Metal ◽  
Thermal Annealing ◽  
Tensile Strain ◽  
Structural Phase ◽  
Transition Metal Dichalcogenides ◽  
Proof Of Concept ◽  
Threshold Strain ◽  
Metal Dichalcogenides ◽  
Phase Engineering

Here, we present a proof-of-concept experiment where phase engineering at the nanoscale of 2D transition metal dichalcogenides (TMDC) flakes (from semiconducting 2H phase to metallic 1T phase) can be achieved by thermal annealing of a TMDC/Au/mica system. The local dewetting of Au particles and resulting tensile strain produced on the TMDC flakes, strongly bound to the Au surface through effective S-Au bonds, can induce a local structural phase transition. An important role is also played by the defects induced by the thermal annealing: when vacancies are present, the threshold strain needed to trigger the phase transition is significantly reduced. Scanning photoelectron microscopy (SPEM) was revealed to be the perfect tool to monitor the described phenomena.

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 Budgeting nitrogen flows and the food nitrogen footprint of Egypt during the past half century: Challenges and opportunities

2019 ◽  
Vol 130 ◽  
pp. 104895 ◽  
Author(s):  
Ahmed S. Elrys ◽  
Sajjad Raza ◽  
Ahmed I. Abdo ◽  
Zhanjun Liu ◽  
Zhujun Chen ◽  
...  
Keyword(s):  
Half Century ◽  
The Past ◽  
Past Half Century ◽  
Challenges And Opportunities ◽  
Past Half ◽  
Nitrogen Flows
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