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Computational and Data-Enabled Science and Engineering

Dissertation (Thesis) Learning Resources

Partial Parallel Emulation

Partial parallel emulation combines differential equations with Gaussian processes or other simulators to help manage computer processes with massive output, spatio-temporal interpolation, and other applications.

• Parallel partial Gaussian process emulation/Project Euclid (pdf)

• RobustGaSP: Robust Gaussian Stochastic Process Emulation in R (pdf)

• Bayesian emulation and calibration of an individual-based model of microbial communities

• Physics-Informed Spatiotemporal Deep Learning for Emulating Coupled Dynamical Systems (video)

This is a fairly new area. I'm using the RobustGaSP package for my research.

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