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ZnO nanowires based degradable high-performance photodetectors for eco-friendly green electronics

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Opto-Electronic Advances 2023年第2期6卷 11-25页

作者： Bhavani Prasad Yalagala abhishek singh dahiya Ravinder dahiya Bendable Electronics and Sensing Technologies(BEST)Group University of GlasgowGlasgow G128QQU.K.

Disposable devices designed for single and/or multiple reliable measurements over a short duration have attracted considerable interest recently. However, these devices often use non-recyclable and non-biodegradable materials and wasteful fabrication methods. Herein, we present ZnO nanowires(NWs) based degradable high-performance UV photodetectors(PDs) on flexible chitosan substrate. Systematic investigations reveal the presented device exhibits excellent photo response, including high responsivity(55 A/W), superior specific detectivity(4×10^(14) jones), and the highest gain(8.5×10~(10)) among the reported state of the art biodegradable PDs. Further, the presented PDs display excellent mechanical flexibility under wide range of bending conditions and thermal stability in the measured temperature range(5–50 ℃).The biodegradability studies performed on the device, in both deionized(DI) water(pH≈6) and PBS solution(pH=7.4),show fast degradability in DI water(20 mins) as compared to PBS(48 h). These results show the potential the presented approach holds for green and cost-effective fabrication of wearable, and disposable sensing systems with reduced adverse environmental impact.

关键词： transient electronics degradable devices ZnO nanowire chitosan UV photodetector printed electronics

Organic bulk heterojunction enabled with nanocapsules of hydrate vanadium pentaoxide layer for high responsivity self-powered photodetector

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Journal of Semiconductors 2022年第9期43卷 39-45页

作者： Hemraj dahiya Anupam Agrawal Ganesh D.Sharma abhishek Kumar singh The LNM Institute of Information Technology Department of PhysicsJaipurRajasthan 302031India Bhilai Institute of Technology DurgChhattisgarh491001India Rajiv Gandhi Institute of Petroleum Technology Department of Electronics EngineeringAmethiU.P.229304India

This article demonstrates the fabrication of organic-based devices using a low-cost solution-processable technique.A blended heterojunction of chlorine substituted 2D-conjugated polymer PBDB-T-2Cl,and PC71BM supported nanocapsules hy-drate vanadium penta oxides(HVO)as hole transport layer(HTL)based photodetector fabricated on an ITO coated glass sub-strate under ambient *** device forms an excellent organic junction diode with a good rectification ratio of~*** device has also shown excellent photodetection properties under photoconductive mode(at reverse bias)and zero bias for green light wavelength.A very high responsivity of~6500 mA/W and high external quantum efficiency(EQE)of 1400%have been reported in the *** proposed organic photodetector exhibits an excellent response and recovery time of~30 and~40 ms,respectively.

关键词： self-powered detector green light sensor HVO PBDB-T-2Cl detector processable solution sensor

Chemical hardness-driven interpretable machine learning approach for rapid search of photocatalysts

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npj Computational Materials 2021年第1期7卷 1850-1862页

作者： Ritesh Kumar abhishek K.singh Materials Research Centre Indian Institute of ScienceBangaloreKarnataka 560012India

Strategies combining high-throughput(HT)and machine learning(ML)to accelerate the discovery of promising new materials have garnered immense attention in recent *** knowledge of new guiding principles is usually scarce in such studies,essentially due to the‘black-box’nature of the ML ***,we devised an intuitive method of interpreting such opaque ML models through SHapley Additive exPlanations(SHAP)values and coupling them with the HT approach for finding efficient 2D watersplitting *** developed a new database of 30992D materials consisting of metals connected to six ligands in an octahedral geometry,termed as 2DO(octahedral 2D materials)*** ML models were constructed using a combination of composition and chemical hardness-based features to gain insights into the thermodynamic and overall *** importantly,it distinguished the target properties of the isocompositional 2DO materials differing in bond connectivities by combining the advantages of both elemental and structural *** interpretable ML regression,classification,and data analysis lead to a new hypothesis that the highly stable 2DO materials follow the HSAB *** most stable 2DO materials were further screened based on suitable band gaps within the visible region and band alignments with respect to standard redox potentials using the GW method,resulting in 21 potential ***,HfSe_(2)and ZrSe_(2)were found to have high solar-tohydrogen efficiencies reaching their theoretical *** proposed methodology will enable materials scientists and engineers to formulate predictive models,which will be accurate,physically interpretable,transferable,and computationally tractable.

关键词： intuitive formulate visible

Three-phase AC-DC Converter for Direct-drive PMSG-based Wind Energy Conversion System

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Journal of Modern Power Systems and Clean Energy 2023年第2期11卷 589-598页

作者： Kumar abhishek singh Ayushi Chaudhary Kalpana Chaudhary Department of Electrical Engineering Indian Institute TechnologyVaranasiIndia Department of Electrical Engineering Indian Institute TechnologyKanpurIndia

In this paper,a wind energy conversion system(WECS)is presented for the electrification of rural areas with wind energy availability.A three-phase AC-DC converter based on a bridgeless Cuk converter is used for power extraction from the permanent magnet synchronous generator(PMSG).The bridgeless topology enables the elimination of the front-end diode bridge rectifier(DBR).Moreover,the converter has fewer components,simple control,and high efficiency,making it suitable for a small-scale WECS.A squirrel cage induction motor(SCIM)is used to emulate a MOD-2 wind turbine to implement the PMSG-based WECS.A direct-drive eight-pole PMSG is used in this study;thus,a low-input-voltage system is *** converter is designed to operate in the discontinuous inductor current mode(DICM)for inherent power factor correction(PFC)and the maximum power point tracking(MPPT)is achieved through the tip-speed ratio(TSR)*** performance of the developed system is analyzed through simulation,and a 500 W hardware prototype is developed and tested in different wind speed conditions.

关键词： Permanent magnet synchronous generator(PMSG) three-phase AC-DC converter wind energy conversion system(WECS) wind turbine emulator

Numerical Analysis of Phase Change and Container Materials for Thermal Energy Storage in the Storage Tank of Solar Water Heating System

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Journal of Thermal Science 2024年第2期33卷 408-421页

作者： singh Shailendra ANAND abhishek SHUKLA Amritanshu SHARMA Atul Non-Conventional Energy Laboratory Rajiv Gandhi Institute of Petroleum TechnologyJais Amethi229304India

This study evaluates the effectiveness of phase change materials(PCMs) inside a storage tank of warm water for solar water heating(SWH) system through the theoretical simulation based on the experimental model of *** et *** model is explained by five fundamental equations for the calculation of various parameters like the effectiveness of PCMs,the mass of hot water,total heat content,and duration of *** study simulated eleven PCMs to analyze their effectiveness like Sodium hydrogen phosphate dodecahydrate(SHPD),OM 37,N-Eicosane(NE),Lauric acid(LA),Paraffin wax(PW),OM 48,Paraffin wax C_(20-33)(PW-C20-33),Sodium acetate trihydrate(SAT),Palmitic acid(PA),Myristic acid(MA),and Stearic acid(SA).Among all PCMs,the SHPD has found the highest value of effectiveness factor of ***,it is the most recommended PCM for the storage tank of the SWH *** study also includes the melt fraction analysis of all enumerated PCMs corresponding to container materials of stainless steel,glass,aluminum mixed,tin,aluminum,and *** melt fraction analysis is performed by making a coding program in the FORTRAN programming *** the analysis,copper container material is found to have high melting rate for all PCMs so it is superior to other container materials.

关键词： theoretical model solar water heating system phase change material effectiveness factor melt fraction

Achievements and prospects of grass pea(Lathyrus sativus L.) improvement for sustainable food production

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The Crop Journal 2016年第5期4卷 407-416页

作者： Girish Prasad Dixit Ashok Kumar Parihar abhishek Bohra Narendra Pratap singh ICAR-Indian Institute of Pulses Research (IIPR)

Grass pea offers an attractive choice for sustainable food production, owing to its intrinsic properties including limited water requirement and drought tolerance. However, low productivity and the presence of a neurotoxin(ODAP) have posed major obstacles to its genetic improvement. Also, biotechnological investments remain limited and the genome is complex and not well understood. Strategies that allow identification of genotypes with reduced ODAP content, coupling of low ODAP content with enhanced yield, and effective seed detoxification methods merit immediate attention. Breeder-friendly genomic tools are being increasingly made available to improve the efficiency of breeding protocols. To this end, the application of next-generation sequencing has provided a means of leveraging the repertoire of genomic resources for this somewhat neglected crop. In this review, we describe progress achieved in Lathyrus genetic improvement. We also explore potential opportunities in Lathyrus research and identify urgent research needs.

关键词： Grass pea Genetic resource Genetic improvement Molecular marker Molecular breeding Toxin

Photocatalytic application of magnesium spinel ferrite in wastewater remediation:A review

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Journal of Magnesium and Alloys 2024年第2期12卷 490-505页

作者： Rohit Jasrotia Nikhil Jaswal Jyoti Prakash Chan Choon Kit Jagpreet singh abhishek Kandwal School of Physics and Materials Science Shoolini UniversityBajholSolanH.P.India Himalayan Centre of Excellence in Nanotechnology Shoolini UniversityBajholH.P.India INTI International University Putra NilaiNegeri SembilanMalaysia Department of Chemistry University Centre for Research&Development Chandigarh UniversityMohali140413PunjabIndia Shenzhen Institute of Advanced Technology Chinese Academy of SciencesChina

This review paper explores the efficacy of magnesium ferrite-based catalysts in photocatalytic degradation of organic contaminates(antibiotic and dyes).We report the influence of different doping strategies,synthesis methods,and composite materials on the degradation efficiency of these *** analysis reveals the versatile and promising nature of magnesium ferrite-based catalysts,offering the valuable insights into their practical application for restoring the *** to the smaller band gap and magnetic nature of magnesium ferrite,it holds the benefit of utilising the broader spectrum of light while also being *** in-depth analysis of magnesium ferrites'photocatalytic mechanism could lead to the development of cheap and reliable photocatalyst for the wastewater *** concise review offers a thorough summary of the key advancements in this field,highlighting the pivotal role of the magnesium ferrite based photocatalysts in addressing the pressing global issue of organic pollutants in wastewater.

关键词： Magnesium ferrite Wastewater Dyes Antibiotics Photocatalytic degradation

Prediction of Cardiovascular Disease Using Machine Learning Technique—A Modern Approach

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Computers, Materials & Continua 2022年第4期71卷 855-869页

作者： Visvasam Devadoss Ambeth Kumar Chetan Swarup Indhumathi Murugan abhishek Kumar Kamred Udham singh Teekam singh Ramu Dubey Department of Computer Science&Engineering Panimalar Engineering CollegeAnna UniversityChennai600123India Department of Basic Science College of Science&Theoretical StudiesSaudi Electronic UniversityRiyadh-Male Campus 13316Saudi Arabia Department of Computer Science&IT JAIN(Deemed to be University)Bangalore560069India Department of Computer Science and Information Engineering National Cheng Kung UniversityTainan 701Taiwan Department of Mathematics Graphic Era Hill UniversityDehradun248002India Department of Mathematics J.C.Bose University of Science&TechnologyYMCAFaridabad121006India

Cardio Vascular disease(CVD),involving the heart and blood vessels is one of the most leading causes of death throughout the *** are several risk factors for causing heart diseases like sedentary lifestyle,unhealthy diet,obesity,diabetes,hypertension,smoking and consumption of alcohol,stress,hereditary factory *** cardiovascular disease and improving and treating the risk factors at an early stage are of paramount importance to save the precious life of a human *** present,the highly stressful life with bad lifestyle activities causes heart disease at a very young *** main aim of this research is to predict the premature heart disease based on machine learning *** paper deals with a novel approach using the machine learning algorithm for predicting the cardiovascular disease at the premature stage *** Vector Machine(SVM)is used for segregating the CVD patients based on their symptoms and medical *** experimentation results by using the proposed method will facilitate the medical practitioners to provide suitable treatment for the patients on time.A sophisticated model has been developed with the current approach to examine the various stages of CVD and the performance metrics used have given effective and fruitful results as compared to other machine learning techniques.

关键词： Machine learning support vector machine classification cardiovascular disease

Detection of Behavioral Patterns Employing a Hybrid Approach of Computational Techniques

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Computers, Materials & Continua 2022年第7期72卷 2015-2031页

作者： Rohit Raja Chetan Swarup abhishek Kumar Kamred Udham singh Teekam singh Dinesh Gupta Neeraj Varshney Swati Jain Department of Information Technology Guru Ghasidas VishwavidyalayaBilaspur495009India Department of Basic Science College of Science&Theoretical StudiesSaudi Electronic University13316Saudi Arabia Department of Computer Science&IT JAIN(Deemed to be University)Bangalore560069India Computer Science and Information Science Cheng Kung University621301Taiwan School of Computer Science University of Petroleum and Energy StudiesDehradun248007India Department of CSE I K Gujral Punjab Technical UniversityJalandhar144603India Department of Computer Engineering and Applications GLA UniversityMathura281406India Department of Computer Science Government J Yoganandam Chhattisgarh CollegeRaipur492001India

As far as the present state is concerned in detecting the behavioral pattern of humans(subject)using morphological image processing,a considerable portion of the study has been conducted utilizing frontal vision data of human *** present research work had used a side vision of human-face data to develop a theoretical framework via a hybrid analytical model *** this example,hybridization includes an artificial neural network(ANN)with a genetic algorithm(GA).We researched the geometrical properties extracted from side-vision human-face *** additional study was conducted to determine the ideal number of geometrical characteristics to pick while *** close vicinity ofminimum distance measurements is done for these clusters,mapped for proper classification and decision process of behavioral *** identify the data acquired,support vector machines and artificial neural networks are utilized.A method known as an adaptiveunidirectional associative memory(AUTAM)was used to map one side of a human face to the other side of the same *** behavioral pattern has been detected based on two-class problem classification,and the decision process has been done using a genetic algorithm with best-fit *** developed algorithm in the present work has been tested by considering a dataset of 100 subjects and tested using standard databases like FERET,Multi-PIE,Yale Face database,RTR,CASIA,*** complexity measures have also been calculated under worst-case and best-case situations.

关键词： Adaptive-unidirectional-associative-memory technique artificial neural network genetic algorithm hybrid approach