Artificial Intelligence and Spectroscopic Techniques for Gemology Applications

Ashutosh Kumar Shukla (Ewing Christian College, Prayagraj, India)

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English

Institute of Physics Publishing
08 December 2022

Spectrum analysis, spectrochemistry, mass spectrometry; Mineralogy & gems; Artificial intelligence

Series: IOP ebooks

This collection highlights gemstone identification and analysis using spectroscopic techniques. It also includes the exciting applications of artificial intelligence and machine learning technologies that are being developed and used to enhance the efficiency of identification and analysis techniques. Laser-induced breakdown spectroscopy, Raman spectroscopy and FTIR spectroscopy applications are discussed in separate chapters. Ruby stone grading stone using optical tomography is the theme of another chapter. Chapters introduce the relevant theoretical concepts and present typical experimental methodologies with a focus on gemological applications and include experimental results and potential for future developments. A reader-friendly approach has been adopted throughout the book and basics of techniques have been included wherever appropriate. It provides a unique addition to the knowledge base in view of emerging applications of spectroscopic and information techniques in gemology. It not only suits the need of novice researchers but also intends to connect the experts to the state of the art in spectroscopic technology and associated machine learning applications.

Key Features:

Includes case studies, recent trends and future prospects. Includes experimental set up as well as theoretical description. Encompasses applications and potential of AI and ML In gemology. Individual chapter content level designed to address the needs of novice researchers, as well as experienced researchers and technicians.

Edited by: Ashutosh Kumar Shukla (Ewing Christian College Prayagraj India)
Imprint: Institute of Physics Publishing
Country of Publication: United Kingdom
Dimensions: Height: 254mm, Width: 178mm, Spine: 14mm
ISBN: 9780750339254
ISBN 10: 075033925X
Series: IOP ebooks
Pages: 168
Publication Date: 08 December 2022
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

1 Laser-Induced Breakdown Spectroscopy for gemological testing 2 Raman spectroscopy for the non-destructive analysis of gemstones 3 Application of FTIR spectroscopy and machine learning algorithm for gems identification 4 A ruby stone grading inspection using an optical tomography system 5 Trace elements and big data application to gemology by XRF

Ashutosh Kumar Shukla has more than two decades of physics teaching and research experience. He has had numerous articles and review articles published in peer-reviewed journals. He has also authored textbooks and participated as an editor for more than twenty edited volumes, often prepared in collaboration with experts from different countries. He intends to continue pursuing his academic interests, which include spectroscopy applications in different fields of societal importance