Integrated process-property modeling of YBa2Cu3O7 superconducting film for data and model driven process design
Abstract Process engineering of materials determines not only materials properties, but also cost, yield and production capacity. Although process design is generally based on the experience of process engineers, mathematical/data-science modeling is a key challenge for future process optimization....
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-06-01
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| Series: | Communications Engineering |
| Online Access: | https://doi.org/10.1038/s44172-025-00434-1 |
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| author | Tomoya Horide Shin Okumura Shunta Ito Yutaka Yoshida |
| author_facet | Tomoya Horide Shin Okumura Shunta Ito Yutaka Yoshida |
| author_sort | Tomoya Horide |
| collection | DOAJ |
| description | Abstract Process engineering of materials determines not only materials properties, but also cost, yield and production capacity. Although process design is generally based on the experience of process engineers, mathematical/data-science modeling is a key challenge for future process optimization. Here we create new opportunities for process optimization in YBa2Cu3O7 film fabrication through data/model-driven process design. We show integrated modelling of substrate temperature and critical current density in YBa2Cu3O7 films. Gaussian process regression augmented by transfer learning and physics knowledge was constructed from a small amount of data to show substrate temperature dependence of critical current density. Non-numerical factors such as chamber design and substrate material were included in the transfer learning, and physics-aided techniques extended the model to different magnetic fields. Magnetic field dependence of critical current density was successfully predicted for a given substrate temperature for a five-sample series deposited using different pulsed laser deposition systems. Our integrated process and property modelling strategy enables data/model-driven process design for YBa2Cu3O7 film fabrication for coated conductor applications. |
| format | Article |
| id | doaj-art-e080b40fe44542c099f164d1f4ba61d4 |
| institution | Kabale University |
| issn | 2731-3395 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Engineering |
| spelling | doaj-art-e080b40fe44542c099f164d1f4ba61d42025-08-20T03:31:42ZengNature PortfolioCommunications Engineering2731-33952025-06-014111110.1038/s44172-025-00434-1Integrated process-property modeling of YBa2Cu3O7 superconducting film for data and model driven process designTomoya Horide0Shin Okumura1Shunta Ito2Yutaka Yoshida3Department of Electrical Engineering, Nagoya University, Furo-cho, ChikusaDepartment of Electrical Engineering, Nagoya University, Furo-cho, ChikusaDepartment of Electrical Engineering, Nagoya University, Furo-cho, ChikusaDepartment of Electrical Engineering, Nagoya University, Furo-cho, ChikusaAbstract Process engineering of materials determines not only materials properties, but also cost, yield and production capacity. Although process design is generally based on the experience of process engineers, mathematical/data-science modeling is a key challenge for future process optimization. Here we create new opportunities for process optimization in YBa2Cu3O7 film fabrication through data/model-driven process design. We show integrated modelling of substrate temperature and critical current density in YBa2Cu3O7 films. Gaussian process regression augmented by transfer learning and physics knowledge was constructed from a small amount of data to show substrate temperature dependence of critical current density. Non-numerical factors such as chamber design and substrate material were included in the transfer learning, and physics-aided techniques extended the model to different magnetic fields. Magnetic field dependence of critical current density was successfully predicted for a given substrate temperature for a five-sample series deposited using different pulsed laser deposition systems. Our integrated process and property modelling strategy enables data/model-driven process design for YBa2Cu3O7 film fabrication for coated conductor applications.https://doi.org/10.1038/s44172-025-00434-1 |
| spellingShingle | Tomoya Horide Shin Okumura Shunta Ito Yutaka Yoshida Integrated process-property modeling of YBa2Cu3O7 superconducting film for data and model driven process design Communications Engineering |
| title | Integrated process-property modeling of YBa2Cu3O7 superconducting film for data and model driven process design |
| title_full | Integrated process-property modeling of YBa2Cu3O7 superconducting film for data and model driven process design |
| title_fullStr | Integrated process-property modeling of YBa2Cu3O7 superconducting film for data and model driven process design |
| title_full_unstemmed | Integrated process-property modeling of YBa2Cu3O7 superconducting film for data and model driven process design |
| title_short | Integrated process-property modeling of YBa2Cu3O7 superconducting film for data and model driven process design |
| title_sort | integrated process property modeling of yba2cu3o7 superconducting film for data and model driven process design |
| url | https://doi.org/10.1038/s44172-025-00434-1 |
| work_keys_str_mv | AT tomoyahoride integratedprocesspropertymodelingofyba2cu3o7superconductingfilmfordataandmodeldrivenprocessdesign AT shinokumura integratedprocesspropertymodelingofyba2cu3o7superconductingfilmfordataandmodeldrivenprocessdesign AT shuntaito integratedprocesspropertymodelingofyba2cu3o7superconductingfilmfordataandmodeldrivenprocessdesign AT yutakayoshida integratedprocesspropertymodelingofyba2cu3o7superconductingfilmfordataandmodeldrivenprocessdesign |