Stochastic Differential Equations
Differential equations that combine deterministic evolution with random forcing to represent systems influenced by continuous uncertainty.
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Digital Twins
Continuously updated computational representations of physical assets or processes used to estimate state, test scenarios and guide decisions.
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Molecular Dynamics Simulation
Atomistic computation that propagates molecular motion through time using an interaction model and numerical integration.
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Bayesian Inference
A framework for updating probability distributions over unknown quantities when new evidence is observed.
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Climate Feedback Loops
Processes that amplify or reduce an initial change in Earth's climate system.
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Artificial Neural Networks
Layered computational models that learn distributed representations by adjusting weighted connections from data.
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