Phosphor Materials: Machine Learning Approach - Softcover

Nandanwar, Pranay; Deshpande, Maneesh; Nandanwar, Chandrahasya

Softcover

ISBN 10: 6630591313 ISBN 13: 9786630591316

Publisher: LAP Lambert Academic Publishing, 2026

Synopsis

Phosphor materials are important luminescent materials whose photoluminescence properties are influenced by host composition, activator and sensitizer ions, crystal structure, electronic configuration, dopant concentration, and measurement conditions. Therefore, a systematic understanding of material properties and photoluminescence mechanisms is essential for studying and predicting excitation and emission wavelengths.This book has presented the fundamental concepts of phosphor materials and photoluminescence, including excitation, emission, Stokes shift, energy-level transitions, and the major factors affecting luminescence behavior. It has also discussed important material descriptors such as ionic radius, atomic radius, electronegativity, valence electrons, electronic configuration, and structural properties. These descriptors provide a suitable foundation for representing phosphor materials as structured feature vectors for machine-learning applications. Thus, combining phosphor science, material descriptors, and data-driven approaches can support the efficient prediction and development of advanced luminescent materials.

Edition details

• Publisher: LAP Lambert Academic Publishing
• Publication date: 2026
• Language: English
• ISBN 10: 6630591313
• ISBN 13: 9786630591316
• Binding: Paperback
• Number of pages: 84