2 publications

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    Deep Learning Approaches for Nanoplasmonics: Expanding Horizons

    Abstract: Deep learning, a subfield of machine learning, has revolutionized various domains by providing powerful tools to process and analyze complex data. In the realm of nanoplasmonics, deep learning techniques have emerged as promising approaches to tackle the challenges associated with large-scaledata analysis, modeling, and optimization of plasmonic systems. This article presents an in-depth exploration of deep learning approaches applied to nanoplasmonics research, focusing on the advances, opportunities, and future directions …

    Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 13, Issue 1, 2023 · pp. 30–38 Read article

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    Recent Advances in Nanobiotechnology: Applications and Future Perspectives

    Abstract: Nanobiotechnology is a rapidly growing field that combines the principles of nanotechnology with biology, medicine, and biotechnology. This review article provides an overview of recent advances in nanobiotechnology and their applications in various fields, including drug delivery, imaging, biosensors, tissue engineering, and nanomedicine. The article also discusses the challenges and future prospects of nanobiotechnology. This review article provides an overview of recent advances in nanobiotechnology and their applications in various …

    Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 24, Issue 3, 2022 · pp. 43–47 Read article

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