Papers by Prof. Nitin D Sali
May 1997 [NAA], X-ray photoelectron and Infrared spectroscopy." 4. "Nanophase alumina synthesis i... more May 1997 [NAA], X-ray photoelectron and Infrared spectroscopy." 4. "Nanophase alumina synthesis in thermal arc plasma and characterization correlation to gas phase studies."
Processing PBAMP-2002.BARC MUMBAI. 9. "Introduction of δ-Al2O3 / Cu2O material for H2 gassensing ... more Processing PBAMP-2002.BARC MUMBAI. 9. "Introduction of δ-Al2O3 / Cu2O material for H2 gassensing applications."
The precise synthesis of interconnected and porous microstructured electrode materials for superc... more The precise synthesis of interconnected and porous microstructured electrode materials for supercapacitor application is always challenging to obtain maximum surface area for electrode-electrolyte interaction. Herein, the interconnected microstructured morphology of NiCo 2 O 4 is synthesized via an inexpensive chemical route viz hydrothermal method. Synthesized NiCo 2 O 4 nanomaterial is characterized for structural, morphological, electrochemical characteristics by XRD, SEM, CV, GCD, and EIS measurements. The XRD pattern reveals that nanostructured material is polycrystalline with a cubic phase. The average crystallite size of NiCo 2 O 4 is 10.85 nm. The SEM analysis confirms interconnected plates microstructures with surface aea of 34 m 2 g − 1. The NiCo 2 O 4 electrodes are fabricated and their specific capacitance was measured using CV and GCD data. The maximum specific capacitance of the NiCo 2 O 4 electrode is 550 F/g. Furthermore, an as-fabricated asymmetric supercapacitor (ASC) has an energy density of 3.81 Wh/kg, a power density of 789 W/kg at 4 mAcm − 2 , and capacitance retention of 87% after 2,000 cycle. An interconnected plate-like microstructure of NiCo 2 O 4 material is a potential candidate for energy storage application.
Quantum computation is an exciting new field, which touches on the foundations of both computer s... more Quantum computation is an exciting new field, which touches on the foundations of both computer science and quantum mechanics. It provides a new model of computation that is both physically reasonable and more powerful than classical computing. In a classical computer, a bit is a fundamental unit of information, classically represented as a 0 or 1. In a quantum computer, the fundamental unit of information, called a quantum bit or qubit, is not binary but rather more quaternary in nature.
Cotton fibers embedded with zinc chloride nanoparticles are synthesized. zinc chloride solution w... more Cotton fibers embedded with zinc chloride nanoparticles are synthesized. zinc chloride solution was treated with green reducing agent d-glucose in autoclave. Autoclave treatment time was optimized based on single type of particle presence which is followed by microwave radiation cycles for selected time intervals. Synthesized nanoparticles were analysed using UV spectroscopy, IR spectroscopy and scanning electron microscopy. Purified particles were analyzed for presence of antibacterial and antifungal activity. Cotton fibers were treated in presence of obtained nanoparticles and starch as capping agent .treated fibers also retained antibacterial activity.
Conference Presentations by Prof. Nitin D Sali
Research paper published in Positif Journal Volume 23, Issue 6, 2023. ISSN No: 0048-4911. Page No: 1-11. Editions Opta Editor-in-Chief: John R. Moon, 20 Crosshill, Condor, Great Britain, 2023
The present work includes and aims to explore the implementation of computer technologies in agri... more The present work includes and aims to explore the implementation of computer technologies in agriculture for addressing the impacts of climate change [12]. The use of computer technologies, such as machine learning and big data analysis, offers significant potential for improving the resilience and sustainability of agricultural systems in the face of a changing climate. By processing large amounts of data on weather patterns, crop yields, and agricultural practices, computer technologies can provide valuable insights into the impacts of climate change on agriculture and support the development of effective adaptation and mitigation strategies [1]. For example, machine learning algorithms can be used to develop predictive models of crop yields and productivity, while big data analysis can be used to process large volumes of data from various sources, such as weather stations and satellite imagery, to gain insights into the impacts of climate change on agriculture [1]. The study will analyze the current state of the implementation of computer technologies in agriculture for addressing the impacts of climate change, including the barriers and challenges to their widespread adoption and the opportunities for further development and application [8]. The research will also explore the potential for computer technologies to support the development of new and innovative solutions for addressing the impacts of climate change on agriculture, such as the adoption of new cropping systems or the development of new water-saving irrigation practices [13]. Overall, this work will contribute to a deeper understanding of the role of computer technologies in addressing the impacts of climate change on agriculture and will provide valuable insights for policymakers, agricultural stakeholders, and technology developers on the potential for these technologies to support the sustainability of agricultural systems in the face of a changing climate [12].
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Papers by Prof. Nitin D Sali
Conference Presentations by Prof. Nitin D Sali