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Machine learning enabled rational design for dynamic thermal emitters with phase-change materials

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Figshare2023-05-04 更新2026-04-28 收录
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https://figshare.com/articles/dataset/_strong_Machine_learning_enabled_rational_design_for_dynamic_thermal_emitters_with_phase-change_materials_strong_/22730780
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It is about 5000 groups of structural parameters that are randomly generated, and their spectral responses at both metallic and insulator states are calculated by using the full-wave method, which is performed using the finite element solver in conjunction with Python.
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2023-05-04
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