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Predicting Wear Rate and Friction Coefficient of Li2Si2O5 Dental Ceramic Using Optimized Artificial Neural Networks
| Title: | Predicting Wear Rate and Friction Coefficient of Li2Si2O5 Dental Ceramic Using Optimized Artificial Neural Networks | Authors: | Pantić, Marko |
Issue Date: | 2025 | Publication: | Applied Sciences | ISSN: | 2076-3417 Applied Sciences-Basel Search Idenfier |
Publisher: | MDPI | Type: | Article | Collation: | vol. 15 br. 4 str. 1789-1789 | DOI: | 10.3390/app15041789 | WoS-ID: | 001429875700001 | Scopus-ID: | 2-s2.0-85218621575 | URI: | https://scidar.kg.ac.rs/handle/123456789/22112 https://enauka.gov.rs/handle/123456789/966780 |
Metadata source: | (Preuzeto iz Nasi u WoS) (Preuzeto iz CrossRef-a) Pantić, Marko |
M-category: | 21M21 |
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