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How PyMieDiff Makes Differentiable Mie Scattering for Core–Shell Particles in PyTorch
Автор: World Fusion Media
Загружено: 2025-12-10
Просмотров: 0
Описание: Explore PyMieDiff, a differentiable Mie scattering toolkit for core–shell particles built in PyTorch. We dive into how automatic differentiation and GPU acceleration enable gradient-based optimization, inverse design, and physics-informed machine learning for light scattering. Learn about the full scattering matrix, cross-sections, near-field properties, and practical workflows for particle design, parameter estimation, and multi-parameter optimisation. Includes examples and discussion of limitations and future directions for stable, large-particle calculations.
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