Maximising 3D printed supercapacitor capacitance through convolutional neural network guided Bayesian optimisation
A convolutional neural network (CNN) guided Bayesian optimisation framework is introduced to strategically maximise the surface to volume ratio of 3D printed lattice supercapacitors. We applied Bayesian optimisation on printing parameters to exploit regions where uniform and narrow lines are printed...
שמור ב:
| Principais autores: | , , , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Taylor & Francis Group
2023-12-01
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| סדרה: | Virtual and Physical Prototyping |
| נושאים: | |
| גישה מקוונת: | http://dx.doi.org/10.1080/17452759.2022.2150231 |
| תגים: |
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