2023International Journal of Engineering Technology and Management SciencesOpen access

Artificial Intelligence and its Applications in Nanochemistry

Dr K Vijaya Lakshmi

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Abstract

Artificial Intelligence (AI) has emerged as a powerful tool in Nanochemistry, offering innovative solutions to navigate the intricate world of Nanoscale materials and processes. Nanochemistry is a multidisciplinary branch of science that focuses on the synthesis, characterization and manipulation of materials at the nanoscale, typically in the range of 1 to 100 nanometres (one billionth of a meter). This paper delves into the antiquity of AI in Nanochemistry, its pivotal role in advancing nanoscale research, and the importance and diverse applications of AI in Nanochemistry.

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What this paper is about

Artificial Intelligence (AI) has emerged as a powerful tool in Nanochemistry, offering innovative solutions to navigate the intricate world of Nanoscale materials and processes. Nanochemistry is a multidisciplinary branch of science that focuses on the synthesis, characterization and manipulation of materials at the nanoscale, typically in the range of 1 to 100 nanometres (one billionth of a meter). This paper delves into the antiquity of AI in Nanochemistry, its pivotal role in advancing nanoscale research, and the importance and diverse applications of AI in Nanochemistry.

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Available abstract

Artificial Intelligence (AI) has emerged as a powerful tool in Nanochemistry, offering innovative solutions to navigate the intricate world of Nanoscale materials and processes. Nanochemistry is a multidisciplinary branch of science that focuses on the synthesis, characterization and manipulation of materials at the nanoscale, typically in the range of 1 to 100 nanometres (one billionth of a meter). This paper delves into the antiquity of AI in Nanochemistry, its pivotal role in advancing nanoscale research, and the importance and diverse applications of AI in Nanochemistry.

Key concepts: Nanochemistry, Nanotechnology, Materials science, Nanoscopic scale, Characterization (materials science), Multidisciplinary approach, Engineering ethics, Engineering

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