Artificial Intelligence-powered Molecular Structure Determination: A Comparison with Conventional Techniques

Authors: Pranita Das

Country: India

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Abstract: Artificial intelligence (AI) has the potential to revolutionize the field of molecular structure elucidation. In recent years, there has been a growing body of research applying AI to the problem of determining the structure of molecules from experimental data. This research has led to the development of new AI algorithms that can accurately predict molecular structures from a variety of data sources, including nuclear magnetic resonance (NMR) spectroscopy, mass spectrometry, and X-ray crystallography. These AI algorithms have the potential to accelerate the discovery of new drugs and materials, and to improve our understanding of the fundamental building blocks of life. Making intelligent machines, particularly intelligent computer programmes, is a scientific and engineering endeavour. It has to do with the identical aim of utilising computers to study human intellect, but AI is not limited to techniques that may be observed biologically. Although there is no universally accepted definition of artificial intelligence (AI), it is generally understood to be the study of computations that enable perception, reason, and action. The amount of data produced today, by both humans and machines, considerably exceeds the capacity of humans to comprehend, understand, and base complex decisions on that data. All computer learning is based on artificial intelligence, which is also the future of all complicated decision-making. This essay looks at the characteristics of artificial intelligence, the definitions of AI, the history, and Artificial intelligence (AI) is rapidly transforming our world, and its impact on humans is profound. Artificial intelligence (AI) is rapidly transforming the field of molecular structure determination, offering powerful tools for predicting, analyzing, and visualizing molecular structures with unprecedented accuracy and efficiency. This paper comprehensively reviews the current landscape of AI applications in molecular structure determination, highlighting recent advancements and future directions.

Keywords: Artificial Intelligence, Molecules

Paper Id: 1697

Published On: 2018-12-05

Published In: Volume 6, Issue 6, November-December 2018

Cite This: Artificial Intelligence-powered Molecular Structure Determination: A Comparison with Conventional Techniques - Pranita Das - IJIRMPS Volume 6, Issue 6, November-December 2018.

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