找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Nanophotonics and Machine Learning; Concepts, Fundamenta Kan Yao,Yuebing Zheng Book 2023 The Editor(s) (if applicable) and The Author(s), u

[复制链接]
查看: 23939|回复: 40
发表于 2025-3-21 17:49:14 | 显示全部楼层 |阅读模式
书目名称Nanophotonics and Machine Learning
副标题Concepts, Fundamenta
编辑Kan Yao,Yuebing Zheng
视频video
概述Provides the first book-level coverage of intelligent nanophotonics.Presents the fundamental concepts of both photonics and machine learning in an accessible way.Summarizes applications to nanophotoni
丛书名称Springer Series in Optical Sciences
图书封面Titlebook: Nanophotonics and Machine Learning; Concepts, Fundamenta Kan Yao,Yuebing Zheng Book 2023 The Editor(s) (if applicable) and The Author(s), u
描述.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 th
出版日期Book 2023
关键词Intelligent nanophotonics; Machine learning for inverse design; Photonic neural network; All-optical ma
版次1
doihttps://doi.org/10.1007/978-3-031-20473-9
isbn_softcover978-3-031-20475-3
isbn_ebook978-3-031-20473-9Series ISSN 0342-4111 Series E-ISSN 1556-1534
issn_series 0342-4111
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

书目名称Nanophotonics and Machine Learning影响因子(影响力)




书目名称Nanophotonics and Machine Learning影响因子(影响力)学科排名




书目名称Nanophotonics and Machine Learning网络公开度




书目名称Nanophotonics and Machine Learning网络公开度学科排名




书目名称Nanophotonics and Machine Learning被引频次




书目名称Nanophotonics and Machine Learning被引频次学科排名




书目名称Nanophotonics and Machine Learning年度引用




书目名称Nanophotonics and Machine Learning年度引用学科排名




书目名称Nanophotonics and Machine Learning读者反馈




书目名称Nanophotonics and Machine Learning读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 20:49:43 | 显示全部楼层
发表于 2025-3-22 04:08:15 | 显示全部楼层
发表于 2025-3-22 07:19:09 | 显示全部楼层
发表于 2025-3-22 11:12:33 | 显示全部楼层
发表于 2025-3-22 13:41:09 | 显示全部楼层
978-3-031-20475-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
发表于 2025-3-22 20:14:51 | 显示全部楼层
Nanophotonics and Machine Learning978-3-031-20473-9Series ISSN 0342-4111 Series E-ISSN 1556-1534
发表于 2025-3-23 00:14:03 | 显示全部楼层
Kan Yao,Yuebing ZhengProvides the first book-level coverage of intelligent nanophotonics.Presents the fundamental concepts of both photonics and machine learning in an accessible way.Summarizes applications to nanophotoni
发表于 2025-3-23 02:43:31 | 显示全部楼层
Springer Series in Optical Scienceshttp://image.papertrans.cn/n/image/660899.jpg
发表于 2025-3-23 09:16:36 | 显示全部楼层
https://doi.org/10.1007/978-3-031-20473-9Intelligent nanophotonics; Machine learning for inverse design; Photonic neural network; All-optical ma
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-2 22:18
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表