Pulsed Laser Processing of Materials

Pulsed Laser Processing of Materials
by: Dongfang Yang (Editor)
Publication Date: 2024/7/17
Language: English
Print Length: 194 pages
ISBN-10: 0854666117
ISBN-13: 9780854666119
Book Description
The processing and analyzing of materials by short laser pulses demonstrates a significant scientific, technological, and industrial potential that has been revealed largely over the last decade. This book presents seven chapters of literature reviews written by experts from the international scientific community. It covers recent advances in laser ablation technologies for producing Li-ion battery materials and components; pulsed laser deposition of ferroelectric materials; fundamentals of ultra-short pulse laser interaction with metals, semiconductors, or dielectrics; synthesis of nanoparticles in liquid of a variety of materials by laser ablation; processing of biological tissues and materials by ultrashort-pulse burst-mode laser; gemstone identification using laser-induced Raman spectroscopy, photoluminescence, and photoluminescence lifetime analysis and machine learning for reliable quantitative elemental analysis of materials from LIBS spectral data.
About the Author
The processing and analyzing of materials by short laser pulses demonstrates a significant scientific, technological, and industrial potential that has been revealed largely over the last decade. This book presents seven chapters of literature reviews written by experts from the international scientific community. It covers recent advances in laser ablation technologies for producing Li-ion battery materials and components; pulsed laser deposition of ferroelectric materials; fundamentals of ultra-short pulse laser interaction with metals, semiconductors, or dielectrics; synthesis of nanoparticles in liquid of a variety of materials by laser ablation; processing of biological tissues and materials by ultrashort-pulse burst-mode laser; gemstone identification using laser-induced Raman spectroscopy, photoluminescence, and photoluminescence lifetime analysis and machine learning for reliable quantitative elemental analysis of materials from LIBS spectral data. Read more