The modified Born series method is currently one of the most efficient methods available for simulating light scattering in large inhomogeneous media. However, to achieve high accuracy, the method requires thick gradually absorbing layers around the simulation domain. Here, we introduce new boundary conditions, combining a padding-free acyclic convolution with an ultra-thin boundary layer. Our new boundary conditions minimize the wrap-around and reflection artefacts originating from the edges of the simulation domain, while also greatly reducing the computational costs and the memory requirements of the method. Our GPU-accelerated Matlab implementation is available on GitHub.

中文翻译：

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超薄边界层，用于光传播的高精度模拟

改进的Born级数方法目前是可用于在大型非均匀介质中模拟光散射的最有效方法之一。但是，为了获得高精度，该方法需要在模拟域周围逐渐吸收厚的层。在这里，我们介绍了新的边界条件，将无填充的非循环卷积与超薄边界层结合在一起。我们的新边界条件最大程度地减少了源自仿真域边缘的环绕和反射伪像，同时还大大降低了该方法的计算成本和内存需求。我们的GPU加速的Matlab实现可在GitHub上找到。