March 17, 2017
Manuel Aldegunde Rodriguez and Nicholas Zabaras
How certain are we of the accuracy of DFT simulations? In this project we try to provide an answer through a framework to quantify the uncertainty in DFT XC functional.
Figure 1 (Top) Magnitude of the coefficients obtained using a RVM for the determination of the hyperp...
Manuel Aldegunde Rodriguez
What confidence can we have in alloy property calculations when we use surrogate models? In this project, we develop a Bayesian UQ framework to quantify and propagate the uncertainty when using the Cluster Expansion model.
New technological advances require...
March 14, 2017
Stayed tuned as we will update more about our current research in the coming weeks.
Intro to DGP and everything...
Boltzmann Machine; Undirected Graphical Models; Generative Models in Geology
October 26, 2017
Undirected Graphical Models; Deep Learning for Fluid Mechanics
October 19, 2017
Approximate Inference; Convolutional Neural Networks; Stein's Method
October 13, 2017
Parallel approaches for the Bayesian Gaussian process latent variable model; Regularization in optimization
October 6, 2017
Simulation models for groundwater flow modeling; Cluster Expansion and Introduction to Alloy Theoretic Automated Toolkit; Review of state space models...
September 29, 2017
UQ in Groundwater Modeling, State Space Models
September 22, 2017
A Review of Markov and hidden Markov Model, Regularization in Deep Learning
September 14, 2017
Implementation of Neural Nets in PyTorch
September 7, 2017