機械学習によるガラス材料の設計とその展望 (光学分野の設計開発における機械学習の活用)

機械学習によるガラス材料の設計とその展望

(光学分野の設計開発における機械学習の活用)

Journal name: 光学 = Japanese journal of optics : publication of the Optical Society of Japan 55(1):2026.1

This page shows libraries in Japan other than the National Diet Library that hold the material.

Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.

other

CiNii Research
Search Service
Paper
You can check the holdings of institutions and databases linked to CiNii Research at this link.
Check the holdings of this book

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Material Type: 記事
Title: 機械学習によるガラス材料の設計とその展望
Author/Editor: 徳田陽明
Series Title: 光学分野の設計開発における機械学習の活用
Author Heading: 徳田陽明
Alternative Title: Machine Learning for the Design of Glass Materials : Current Approaches and Future Prospects
Periodical title: 光学 = Japanese journal of optics : publication of the Optical Society of Japan
No. or year of volume/issue: 55(1):2026.1
Volume: 55
Issue: 1
Pages: 26-32
Publication date of volume/issue (W3CDTF): 2026-01
ISSN (Periodical Title): 0389-6625
ISSN-L (Periodical Title): 0389-6625
Publication (Periodical Title): 東京 : 日本光学会
Place of Publication (Country Code): JP
Text Language Code: jpn
Subject Heading: glass
machine learning
neural network
generative AI
NDLC: ZM35
Target Audience: 一般
Holding library: 国立国会図書館
Call No.: Z15-269
Data Provider (Database): 国立国会図書館 : 国立国会図書館雑誌記事索引
https://ndlsearch.ndl.go.jp
Bibliographic ID (NDL): 034539755
http://id.ndl.go.jp/bib/034539755
Bibliographic Record Category (NDL): 632