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Digital twins (DTs) have emerged as essential tools for monitoring, predicting, and optimizing physical systems by using real-time data.
Simulation cloning is a technique in which dynamically cloned simulations’ state spaces differ from their parent simulation due to intervening events.
High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.