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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Uniform regions (solid backgrounds, smooth gradients) get stored as large blocks. Detailed regions (edges, textures) get subdivided into smaller blocks. You end up with a compressed representation that preserves detail where it exists and simplifies where it can.

Author(s): Je-hyun Lee, Taihoon Kim, Yong-Chae Chung

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