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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One of the trickiest problems we had to tackle was hierarchical document segmentation, where every heading, reference, chapter, section, subsection, table, figure, and so on is extracted from a document in a hierarchical fashion such that segments can be contained within other segments at any arbitrary level of depth. To solve this problem, we had to implement our own novel hierarchical segmentation architecture, decoding approach, and loss function.