Nanophotonics and Machine Learning : (Record no. 7050)

MARC details
000 -LEADER
fixed length control field 01976 a2200253 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251013194455.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241205b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031204722
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 681.3
Item number YaoN
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Yao, Kan
245 ## - TITLE STATEMENT
Title Nanophotonics and Machine Learning :
Remainder of title Concepts, Fundamentals, and Applications /
Statement of responsibility, etc Kan Yao  and Yuebing Zheng
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Switzerland:
Name of publisher Springer;
Year of publication ©2023
300 ## - PHYSICAL DESCRIPTION
Number of Pages ix, 178p.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Springer Series in Optical Sciences
Volume number/sequential designation v.241
520 ## - SUMMARY, ETC.
Summary, etc This book, the first of its kind, bridges the gap between the increasingly interlinked fields of nanophotonics and artificial intelligence (AI). While artificial intelligence techniques, machine learning in particular, have revolutionized many different areas of scientific research, nanophotonics holds a special position as it simultaneously benefits from AI-assisted device design whilst providing novel computing platforms for AI. This book is aimed at both researchers in nanophotonics who want to utilize AI techniques and researchers in the computing community in search of new photonics-based hardware. The book guides the reader through the general concepts and specific topics of relevance from both nanophotonics and AI, including optical antennas, metamaterials, metasurfaces, and other photonic devices on the one hand, and different machine learning paradigms and deep learning algorithms on the other. It goes on to comprehensively survey inverse techniques for device design, AI-enabled applications in nanophotonics, and nanophotonic platforms for AI. This book will be essential reading for graduate students, academic researchers, and industry professionals from either side of this fast-developing, interdisciplinary field.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Optics & Photonics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Microwaves
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Machine Learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Optical Engineering
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Materials Science
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Zheng, Yuebing
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Collection code Home library Current library Shelving location Date acquired Source of acquisition Purchase Price Bill number Full call number Accession Number Copy number Print Price Bill Date/Price effective from Koha item type
      Physics Indian Institute of Technology Tirupati Indian Institute of Technology Tirupati General Stacks 30/07/2025 Today and Tomorrows Printers and Publishers 8465.65 TTPP/135/2025-26 681.3 YaoN (11566) 11566 Copy 1 12093.79 30/07/2025 Books