Accelerated predictions of the sublimation enthalpy of organic materials with machine learning

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UQ and atomistic simulations

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DiSCoVeR 2.0: Mutual Information Informed Novelty Estimation of Materials Along Chemical and Structural Axes

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Gaussian Process for Materials Research

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Advances in Active Learning and Emulation for Multi-Fidelity Simulations

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Rational Kriging

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Building GP Surrogate Model with High-Dimensional Input

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A transport map approach for Bayesian inference of dynamic inverse problems with heavy-tailed priors.

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Probabilistic Learning on Manifolds (PLoM) with Transient Diffusion Kernels

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