Local manifold learning and its link to domain-based physics knowledge

Zdybał, Kamila; D’Alessio, Giuseppe; Attili, Antonio; Coussement, Axel; Sutherland, James C.; Parente, Alessandro

doi:10.1016/j.jaecs.2023.100131

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Cited by 4 publications

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“…In the context of reacting flows, these regions can include ignition, extinction, or reaction zones and can be isolated with data clustering techniques. 68 We can then focus on improving those local regions on a projection, for example, by reducing overlap, data compression, or curvature. In the context of model adaptivity, we may also be willing to sacrifice the orthogonality of a low-dimensional basis in favor of an improved projection topology.…”

Section: Discussionmentioning

confidence: 99%