Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 140, С. 109704 - 109704
Опубликована: Ноя. 29, 2024
Язык: Английский
Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 140, С. 109704 - 109704
Опубликована: Ноя. 29, 2024
Язык: Английский
Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 137, С. 109079 - 109079
Опубликована: Авг. 11, 2024
Язык: Английский
Процитировано
5Applied Physics Reviews, Год журнала: 2025, Номер 12(1)
Опубликована: Март 1, 2025
The advent of artificial intelligence—deep neural networks (DNNs) in particular—has transformed traditional research methods across many disciplines. DNNs are data driven systems that use large quantities to learn patterns fundamental a process. In the realm electromagnetic materials (AEMs), common goal is discover connection between AEM's geometry and material properties predict resulting scattered fields. To achieve this goal, usually utilize computational simulations act as ground truth for training process, numerous successful results have been shown. Although demonstrated successes, they limited by their requirement lack interpretability. latter because black-box models, therefore, it unknown how or why work. A promising approach which may help mitigate aforementioned limitations physics guide development operation DNNs. Indeed, physics-informed learning (PHIL) has seen rapid last few years with some success addressing conventional We overview field PHIL discuss benefits incorporating knowledge into deep process introduce taxonomy enables us categorize various types approaches. also summarize principles critical understanding Appendix covers AEMs. specific works highlighted serve examples Finally, we provide an outlook detailing where currently what can expect future.
Язык: Английский
Процитировано
0Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 138, С. 109321 - 109321
Опубликована: Сен. 20, 2024
Язык: Английский
Процитировано
2Journal of Materials Processing Technology, Год журнала: 2024, Номер 331, С. 118493 - 118493
Опубликована: Июль 6, 2024
Язык: Английский
Процитировано
1Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 140, С. 109704 - 109704
Опубликована: Ноя. 29, 2024
Язык: Английский
Процитировано
0