Academic Journal
Performance analysis of data-driven and physics-informed machine learning methods for thermal-hydraulic processes in Full-scale Emplacement experiment
| العنوان: | Performance analysis of data-driven and physics-informed machine learning methods for thermal-hydraulic processes in Full-scale Emplacement experiment |
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| المؤلفون: | Hu, Guang, Prasianakis, Nikolaos, Churakov, Sergey V., Pfingsten, Wilfried |
| المساهمون: | European Union's Research and Innovation |
| المصدر: | Applied Thermal Engineering ; volume 245, page 122836 ; ISSN 1359-4311 |
| بيانات النشر: | Elsevier BV |
| سنة النشر: | 2024 |
| المجموعة: | ScienceDirect (Elsevier - Open Access Articles via Crossref) |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1016/j.applthermaleng.2024.122836 |
| الاتاحة: | http://dx.doi.org/10.1016/j.applthermaleng.2024.122836 https://api.elsevier.com/content/article/PII:S1359431124005040?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S1359431124005040?httpAccept=text/plain |
| Rights: | https://www.elsevier.com/tdm/userlicense/1.0/ ; http://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: | edsbas.CD74E3BE |
| قاعدة البيانات: | BASE |
| DOI: | 10.1016/j.applthermaleng.2024.122836 |
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