Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
B&H Electrical Engineering
Volume 16 (2022): Issue s1 (December 2022)
Open Access
About Applications of Deep Learning Operator Networks for Design and Optimization of Advanced Materials and Processes
Seid Korić
Seid Korić
and
Diab W. Abueidda
Diab W. Abueidda
| Jan 14, 2023
B&H Electrical Engineering
Volume 16 (2022): Issue s1 (December 2022)
Advanced materials for engineering applications
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Jan 14, 2023
Page range:
1 - 6
Received:
Sep 06, 2022
Accepted:
Sep 26, 2022
DOI:
https://doi.org/10.2478/bhee-2022-0006
Keywords
Machine Learning
,
Deep Operator Networks
,
Design
,
Optimization
,
Advanced Materials
© 2022 Seid Korić et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.