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| 1 | Perovskite Solar Cells Yielding Reproducible Photovoltage of 1.20 V显示文摘High photovoltages and power conversion efciencies of perovskite solar cells(PSCs)can be realized by controlling the undesired nonradiative charge carrier recombination.Here,we introduce a judicious amount of guanidinium iodide into mixed-cation and mixed-halide perovskite flms to suppress the parasitic charge carrier recombination,which enabled the fabrication of>20%efcient and operationally stable PSCs yielding reproducible photovoltageas high as 1.20 V.By introducing guanidinium iodide into the perovskite precursor solution,the bandgap of the resulting absorber material changed minimally;however,the nonradiative recombination diminished considerably as revealed by time-resolved photoluminescence and electroluminescence studies.Furthermore,using capacitance-frequency measurements,we were able to correlate the hysteresis features exhibited by the PSCs with interfacial charge accumulation.Tis study opens up a path to realize new record efciencies for PSCs based on guanidinium iodide doped perovskite flms. | Essa A.Alharbi M.Ibrahim Dar Neha Arora Mohammad Hayal Alotaibi Yahya A.Alzhrani Pankaj Yadav Wolfgang Tress Ahmed Alyamani Abdulrahman Albadri Shaik M.Zakeeruddin Michael Grätzel | 2019 | Research2019，，1： | 4 |
| 2 | A review on current status of municipal solid waste management in India显示文摘Municipal solid waste management is a major environmental issue in India. Due to rapid increase in urbanization, industrialization and population, the generation rate of municipal solid waste in Indian cities and towns is also increased. Mismanagement of municipal solid waste can cause adverse environmental impacts, public health risk and other socio-economic problem. This paper presents an overview of current status of solid waste management in India which can help the competent authorities responsible for municipal solid waste management and researchers to prepare more efficient plans. | Neha Gupta Krishna Kumar Yadav Vinit Kumar | 2015 | Journal of Environmental Sciences2015，27，11： | 3 |
| 3 | To Compare the Effect of Dextromethorphan, Promethazine and Placebo on Nocturnal Cough in Children Agedl - 12 y with Upper Respiratory Infections: A Randomized Controlled Trial显示文摘 | Malobika Bhattacharya & Neha Joshi & Sangita Yadav | 2013 | Indian J Pediatr2013，80，11： | 1 |
| 4 | Pure cortical supratentorial extraventricular ependymoma显示文摘 | Yadav Y R Neha Chandrakar S K | 2009 | Neurol India2009，57，4： | 1 |
| 5 | A Trailblazing Framework of Security Assessment for Traffic Data Management显示文摘Connected and autonomous vehicles are seeing their dawn at this moment.They provide numerous benefits to vehicle owners,manufacturers,vehicle service providers,insurance companies,etc.These vehicles generate a large amount of data,which makes privacy and security a major challenge to their success.The complicated machine-led mechanics of connected and autonomous vehicles increase the risks of privacy invasion and cyber security violations for their users by making them more susceptible to data exploitation and vulnerable to cyber-attacks than any of their predecessors.This could have a negative impact on how well-liked CAVs are with the general public,give them a poor name at this early stage of their development,put obstacles in the way of their adoption and expanded use,and complicate the economic models for their future operations.On the other hand,congestion is still a bottleneck for traffic management and planning.This research paper presents a blockchain-based framework that protects the privacy of vehicle owners and provides data security by storing vehicular data on the blockchain,which will be used further for congestion detection and mitigation.Numerous devices placed along the road are used to communicate with passing cars and collect their data.The collected data will be compiled periodically to find the average travel time of vehicles and traffic density on a particular road segment.Furthermore,this data will be stored in the memory pool,where other devices will also store their data.After a predetermined amount of time,the memory pool will be mined,and data will be uploaded to the blockchain in the form of blocks that will be used to store traffic statistics.The information is then used in two different ways.First,the blockchain’s final block will provide real-time traffic data,triggering an intelligent traffic signal system to reduce congestion.Secondly,the data stored on the blockchain will provide historical,statistical data that can facilitate the analysis of traffic conditions according to past behavior. | Abdulaziz Attaallah Khalil al-Sulbi Areej Alasiry Mehrez Marzougui Neha Yadav Syed Anas Ansar Pawan Kumar Chaurasia Alka Agrawal | 2023 | Intelligent Automation & Soft Computing2023，37，8： | 0 |
| 6 | Neutralizing possibilities of whole virion and mRNA vaccine triggered antibodies of Wuhan strain of SARS-CoV-2 with receptor binding domains of spike proteins of Delta and Omicron strains显示文摘Mutations in the receptor binding domain(RBD)of SARS-CoV-2 spike protein have given birth to the new variants of concern viz.Delta and Omicron strain.As we are using vaccines which are either mRNA of spike protein of Wuhan strain or its whole virion vaccine,these vaccines will trigger antibodies to be able to bind with the epitopes of spike protein of Wuhan strain.There appears a need to study whether vaccine generated circulating neutralizing antibodies in vaccinated people are able to neutralize the receptor binding domain of spike protein of currently circulating Delta and Omicron strains as well.We need to address this contention in two phases:first to undertake docking studies of vaccine generated antibodies with Wuhan,Delta and Omicron strains and second to conduct the wet lab studies and observe antigen-antibody bindings employing Immunofluorescence and Cryo-Electron Microscopic studies.The present paper reports results of docking studies using bioinformatic softwares to provide the baseline information for wet lab studies. | Shilpa Barthwal Bennet Angel Annette Angel Vinod Joshi BM Shareef Nuzhat M Peer Poorna Khaneja Ambreen S Khan Bhawna Sharma Neha Singh Ramesh Joshi Komal Tomar Kiran Yadav Satendra P Singh | 2023 | Asian Pacific Journal of Tropical Medicine2023，16，2： | 0 |
| 7 | Electronic properties of 2D materials and their junctions显示文摘With an extensive range of distinctive features at nano meter-scale thicknesses,two-dimensional(2D)materials drawn the attention of the scientific community.Despite tremendous advancements in exploratory research on 2D materials,knowledge of 2D electrical transport and carrier dynamics still in its infancy.Thus,here we highlighted the electrical characteristics of 2D materials with electronic band structure,electronic transport,dielectric constant,carriers mobility.The atomic thinness of 2D materials makes substantially scaled field-effect transistors(FETs)with reduced short-channel effects conceivable,even though strong carrier mobility required for high performance,low-voltage device operations.We also discussed here about factors affecting 2D materials which easily enhanced the activity of those materials for various applications.Presently,Those 2D materials used in state-of-the-art electrical and optoelectronic devices because of the extensive nature of their electronic band structure.2D materials offer unprecedented freedom for the design of novel p-n junction device topologies in contrast to conventional bulk semiconductors.We also,describe the numerous 2D p-n junctions,such as homo junction and hetero junction including mixed dimensional junctions.Finally,we talked about the problems and potential for the future. | Taposhree Dutta Neha Yadav Yongling Wu Gary J.Cheng Xiu Liang Seeram Ramakrishna Aoussaj Sbai Rajeev Gupta Aniruddha Mondal Zheng Hongyu Ashish Yadav | 2024 | Nano Materials Science2024，6，1： | 0 |
| 8 | Is machine learning redefining the perovskite solar cells?显示文摘Development of novel materials with desirable properties remains at the forefront of modern scientific research.Machine learning(ML),a branch of artificial intelligence,has recently emerged as a powerful technology in optoelectronic devices for the prediction of various properties and rational design of materials.Metal halide perovskites(MHPs)have been at the centre of attraction owing to their outstanding photophysical properties and rapid development in solar cell application.Therefore,the application of ML in the field of MHPs is also getting much attention to optimize the fabrication process and reduce the cost of processing.Here,we comprehensively reviewed different applications of ML in the designing of both MHP absorber layers as well as complete perovskite solar cells(PSCs).At the end,the challenges of ML along with the possible future direction of research are discussed.We believe that this review becomes an indispensable roadmap for optimizing materials composition and predicting design strategies in the field of perovskite technology in the future. | Nishi Parikh Meera Karamta Neha Yadav Mohammad Mahdi Tavakoli Daniel Prochowicz Seckin Akin Abul Kalam Soumitra Satapathi Pankaj Yadav | 2022 | Journal of Energy Chemistry2022，31，3： | 0 |
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