2 citations · 4 across the 5 of their papers we have counts for
5 papers
Addressing computational challenges in physical system simulations with machine learning
Sabber Ahamed, Md Mesbah Uddin
In this paper, we present a machine learning-based data generator framework tailored to aid researchers who utilize simulations to examine various physical systems or processes. Hi…
Exploring Basement Surface relationship of north-west Bengal Basin using satellite images and tectonic modeling
Sabber Ahamed, Delwar Hossain, Jahangir Alam
The Bengal basin is one of the thickest sedimentary basins and is being constantly affected by the collision of the Indian plate with the Burma and Tibetan plates. The northwest pa…
Estimating uncertainty of earthquake rupture using Bayesian neural network
Sabber Ahamed, Md Mesbah Uddin
Bayesian neural networks (BNN) are the probabilistic model that combines the strengths of both neural network (NN) and stochastic processes. As a result, BNN can combat overfitting…
Machine Learning Approach to Earthquake Rupture Dynamics
Sabber Ahamed, Eric G. Daub
Simulating dynamic rupture propagation is challenging due to the uncertainties involved in the underlying physics of fault slip, stress conditions, and frictional properties of the…
Incorporating Deformation Energetics in Long-Term Tectonic Modeling
Sabber Ahamed, Eunseo Choi
The deformation-related energy budget is usually considered in the simplest form or even completely omitted from the energy balance equation. We derive a full energy balance equati…