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Jul 06 2022
Gaussian Process Regression for Surface Interpolation
Abstract: Gaussian process regression (GPR) is a nonparametric regression method with widespread applications in various scientific and engineering fields. In manufacturing, it has been used...
https://nanohub.org/events/details/2181
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Filtered Kriging Lab
Tools | 28 Jun 2022 | Contributor(s):: Zhiqiao Dong, Manan Mehta, Sixian Jia
This tool introduces users to filtered kriging used for surface interpolation.
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Active Learning via Bayesian Optimization for Materials Discovery
Online Presentations | 25 Jun 2021 | Contributor(s):: Hieu Doan, Garvit Agarwal
In this tutorial, we will demonstrate the use of active learning via Bayesian optimization (BO) to identify ideal molecular candidates for an energy storage application.
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Bayesian optimization tutorial using Jupyter notebook
Tools | 11 Jun 2021 | Contributor(s):: Hieu Doan, Garvit Agarwal
Active learning via Bayesian optimization for materials discovery
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Efficient Exploration of Quantified Uncertainty in Granular Crystals
Online Presentations | 16 Mar 2016 | Contributor(s):: Juan Camilo Lopez
This work presents a way of quantifying uncertainty in granular crystals in a computationally efficient way. To accomplish this, a low dimensional response surface is approximated through the method of active subspaces. Within this framework, special structure within the inputs is exploited to...
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Cluster Optimization BGO 01
Tools | 29 Jul 2015 | Contributor(s):: Ilias Bilionis, Yinuo Li
Cluster Optimization Using Bayesian Global Optimization