19 citations · 29 across the 3 of their papers we have counts for
5 papers
Comparison of LSTM autoencoder based deep learning enabled Bayesian inference using two time series reconstruction approaches
Saumik Dana
In this work, we use a combination of Bayesian inference, Markov chain Monte Carlo and deep learning in the form of LSTM autoencoders to build and test a framework to provide robus…
Uncertainty Quantification in Friction Model for Earthquakes using Bayesian inference
Saumik Dana, Karthik Reddy Lyathakula
This work presents a framework to inversely quantify uncertainty in the model parameters of the friction model using earthquake data via the Bayesian inference. The forward model i…
A fault slip model to study earthquakes due to pore pressure perturbations
Saumik Dana, Birendra Jha
The burgeoning need to sequester anthropogenic CO for climate mitigation and the need for energy sustenance leading upto enhanced geothermal energy production has made it incre…
Two-grid method on unstructured tetrahedra: Applying computational geometry to staggered solution of coupled flow and mechanics problems
Saumik Dana, Xiaoxi Zhao, Birendra Jha
We develop a computational framework that leverages the features of sophisticated software tools and numerics to tackle some of the pressing issues in the realm of earth sciences.…
Convergence analysis of fixed stress split iterative scheme for small strain anisotropic poroelastoplasticity: a primer
Saumik Dana, Mary F. Wheeler
This work serves as a primer to our efforts in arriving at convergence estimates for the fixed stress split iterative scheme for single phase flow coupled with small strain anisotr…