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Mathematical Opportunities in Digital Twins (MATH-DT)
Feb. 19, 2024, 5:44 a.m. | Harbir Antil
stat.ML updates on arXiv.org arxiv.org
Abstract: The report describes the discussions from the Workshop on Mathematical Opportunities in Digital Twins (MATH-DT) from December 11-13, 2023, George Mason University.
It illustrates that foundational Mathematical advances are required for Digital Twins (DTs) that are different from traditional approaches. A traditional model, in biology, physics, engineering or medicine, starts with a generic physical law (e.g., equations) and is often a simplification of reality. A DT starts with a specific ecosystem, object or person (e.g., …
abstract advances arxiv biology cs.na digital digital twins discussions engineering george math math.na math.oc medicine opportunities physics report stat.ml twins type university workshop
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