top of page
HOME
OUR TEAM
RESEARCH
PUBLICATIONS
COURSES
More
Use tab to navigate through the menu items.
SCIENTIFIC COMPUTING and
ARTIFICIAL
INTELLIGENCE
Uncertainty Quantification for Density Functional Theory Calculations
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...
Featured Posts
Our new website is launched today.
Recent Posts
AI Hardware DURIP Grant Awarded
Boltzmann Machine; Undirected Graphical Models; Generative Models in Geology
Undirected Graphical Models; Deep Learning for Fluid Mechanics
Approximate Inference; Convolutional Neural Networks; Stein's Method
Parallel approaches for the Bayesian Gaussian process latent variable model; Regularization in optim
Simulation models for groundwater flow modeling; Cluster Expansion and Introduction to Alloy Theoret
UQ in Groundwater Modeling, State Space Models
A Review of Markov and hidden Markov Model, Regularization in Deep Learning
Implementation of Neural Nets in PyTorch
Deep Feedforward Networks, Bayesian Gaussian Process Latent Variable Model
Archive
July 2020
(1)
1 post
October 2017
(4)
4 posts
September 2017
(4)
4 posts
August 2017
(4)
4 posts
May 2017
(2)
2 posts
March 2017
(4)
4 posts
Search By Tags
Materials
(1)
1 post
compmaterials
(2)
2 posts
dgp
(1)
1 post
news
(4)
4 posts
research
(3)
3 posts
seminar
(12)
12 posts
bottom of page
