3 papers
physics.comp-ph2020
Fast Modeling and Understanding Fluid Dynamics Systems with Encoder-Decoder Networks
Rohan Thavarajah, Xiang Zhai, Zheren Ma +1
Is a deep learning model capable of understanding systems governed by certain first principle laws by only observing the system's output? Can deep learning learn the underlying phy…
q-bio.QM2020
Application of Machine Learning to Predict the Risk of Alzheimer's Disease: An Accurate and Practical Solution for Early Diagnostics
Courtney Cochrane, David Castineira, Nisreen Shiban +1
Alzheimer's Disease (AD) ravages the cognitive ability of more than 5 million Americans and creates an enormous strain on the health care system. This paper proposes a machine lear…
cs.LG2019
A General Spatio-Temporal Clustering-Based Non-local Formulation for Multiscale Modeling of Compartmentalized Reservoirs
Soheil Esmaeilzadeh, Amir Salehi, Gill Hetz +3
Representing the reservoir as a network of discrete compartments with neighbor and non-neighbor connections is a fast, yet accurate method for analyzing oil and gas reservoirs. Aut…