Accelerating vacancy diffusion calculations by a DFT informed modified gaussian process regression method: A case study of austenitic 316 stainless steel

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`@receiver newKeywordPart: `@arg1 staticPart: `@arg2Or even swap them:

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If this sounds familiar to you, it’s because this method works very similarly to error-diffusion. Instead of letting adjacent pixels compensate for the error, we’re letting each successive candidate compensate for the combined error of all previous candidates.

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