A prediction model of artificial neural networks in development of thermoelectric materials with innovative approaches
Yazarlar (5)
Karabük Üniversitesi, Türkiye
Dr. Öğr. Üyesi Enes KILINÇ
Karabük Üniversitesi, Türkiye
Sakarya University Of Applied Sciences, Türkiye
Yükseköğretim Kurulu, Türkiye
Prof. Dr. Muharrem DÜĞENCİ
Karabük Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
|
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale |
| Dergi Adı | Engineering Science and Technology an International Journal |
| Dergi ISSN | 2215-0986 Wos Dergi Scopus Dergi |
| Dergi Tarandığı Indeksler | SCI-Expanded |
| Makale Dili | İngilizce |
| Basım Tarihi | 12-2020 |
| Cilt No | 23 |
| Sayı | 6 |
| Sayfalar | 1476 / 1485 |
| DOI Numarası | 10.1016/j.jestch.2020.04.007 |
| Özet |
| The fact that the properties of thermoelectric materials are to be estimated with Artificial Neural Networks without production and measurement will help researchers in terms of time and cost. For this purpose, figure of merit, which is the performance value of thermoelectric materials, is estimated by Artificial Neural Networks without an experimental study. P-and n-type thermoelectric bulk samples were obtained in 19 different compositions by doping different elements into Ca |
| Anahtar Kelimeler |
| Thermoelectric material | Figure of merit | Artificial neural network | Prediction model |
Science Direct
A prediction model of artificial neural networks in development of thermoelectric materials with innovative approaches
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| SCOPUS | 26 |
| Google Scholar | 31 |