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TFSolver:用于平面多层薄膜在多波长和多角度的平行电磁计算的数值 Python 工具包.
Optics express
|December 19, 2025
概括
TFSolver是一个Python工具包,用于薄膜的电磁计算. 它通过并行处理和GPU加速加速模拟,从而实现先进的材料设计.
科学领域:
- 电磁学 电磁学 电磁学 电磁学
- 材料科学 材料科学 材料科学
- 计算物理 计算物理
背景情况:
- 对多层薄膜的精确电磁模拟对于设备的表征和设计至关重要.
- 现有的工具包可能缺乏效率或高级功能,如复杂光学属性的自动区分.
研究的目的:
- 介绍TFSolver,这是一个Python工具包,用于模拟平面同otropic和 anisotropic多层薄膜.
- 突出其并行模拟功能,GPU加速和自动差异化功能.
- 与现有方法相比,验证其准确性和效率.
主要方法:
- 使用PyTorch.ch实现4x4矩阵方法.
- 在广泛的光谱范围和事件角度上进行并行模拟.
- 支持GPU加速和自动区分.
主要成果:
- TFSolver显著加快了多层薄膜堆的模拟速度.
- 通过验证和比较来证明计算精度和效率.
- 允许基于梯度的优化和集成与深度学习用于反向设计.
结论:
- TFSolver为薄膜电磁计算提供了加速的计算性能.
- 它的自动差异化支持高级应用程序,如物理引导的反向设计.
- 它是一个有价值的工具包,用于表征和设计同otropic / anisotropic 材料和薄膜设备.
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