Active learning for predicting the enthalpy of mixing in binary liquids based on ab initio molecular dynamics

· · 来源:dev资讯

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Due to this more measured approach, error-diffusion dithering is even better at preserving details and can produce a more organic looking final image. However, the algorithm itself is inherently serial and not easily parallelised. Additionally, the propagation of error can cause small discrepancies in one part of the image to cascade into other distant areas. This is very obvious during animation, where pixels will appear to jitter between frames. It also makes files harder to compress.

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type=oci — export as an OCI image tarball

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