دورية أكاديمية
A physics informed bayesian optimization approach for material design: application to NiTi shape memory alloys
| العنوان: | A physics informed bayesian optimization approach for material design: application to NiTi shape memory alloys |
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| المؤلفون: | Danial Khatamsaz, Raymond Neuberger, Arunabha M. Roy, Sina Hossein Zadeh, Richard Otis, Raymundo Arróyave |
| المصدر: | npj Computational Materials, Vol 9, Iss 1, Pp 1-11 (2023) |
| بيانات النشر: | Nature Portfolio, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Materials of engineering and construction. Mechanics of materials LCC:Computer software |
| مصطلحات موضوعية: | Materials of engineering and construction. Mechanics of materials, TA401-492, Computer software, QA76.75-76.765 |
| الوصف: | Abstract The design of materials and identification of optimal processing parameters constitute a complex and challenging task, necessitating efficient utilization of available data. Bayesian Optimization (BO) has gained popularity in materials design due to its ability to work with minimal data. However, many BO-based frameworks predominantly rely on statistical information, in the form of input-output data, and assume black-box objective functions. In practice, designers often possess knowledge of the underlying physical laws governing a material system, rendering the objective function not entirely black-box, as some information is partially observable. In this study, we propose a physics-informed BO approach that integrates physics-infused kernels to effectively leverage both statistical and physical information in the decision-making process. We demonstrate that this method significantly improves decision-making efficiency and enables more data-efficient BO. The applicability of this approach is showcased through the design of NiTi shape memory alloys, where the optimal processing parameters are identified to maximize the transformation temperature. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2057-3960 |
| Relation: | https://doaj.org/toc/2057-3960 |
| DOI: | 10.1038/s41524-023-01173-7 |
| URL الوصول: | https://doaj.org/article/0f966beba3994fde8da376297a766b40 |
| رقم الأكسشن: | edsdoj.0f966beba3994fde8da376297a766b40 |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 20573960 |
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| DOI: | 10.1038/s41524-023-01173-7 |