79 citations · 104 across the 8 of their papers we have counts for
8 papers
Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs
S. Chandra Mouli, Danielle C. Maddix, Shima Alizadeh +4
Existing work in scientific machine learning (SciML) has shown that data-driven learning of solution operators can provide a fast approximate alternative to classical numerical par…
Pessimistic Off-Policy Multi-Objective Optimization
Shima Alizadeh, Aniruddha Bhargava, Karthick Gopalswamy +3
Multi-objective optimization is a type of decision making problems where multiple conflicting objectives are optimized. We study offline optimization of multi-objective policies fr…
Learning Physical Models that Can Respect Conservation Laws
Derek Hansen, Danielle C. Maddix, Shima Alizadeh +2
Recent work in scientific machine learning (SciML) has focused on incorporating partial differential equation (PDE) information into the learning process. Much of this work has foc…
Guiding continuous operator learning through Physics-based boundary constraints
Nadim Saad, Gaurav Gupta, Shima Alizadeh +1
Boundary conditions (BCs) are important groups of physics-enforced constraints that are necessary for solutions of Partial Differential Equations (PDEs) to satisfy at specific spat…
Overlimiting current in non-uniform arrays of microchannels
Hyekyung Lee, Shima Alizadeh, Tae Jin Kim +4
Overlimiting current (OLC) through electrolytes interfaced with perm-selective membranes has been extensively researched in recent years for understanding the fundamental mechanism…
Impact of Network Heterogenity on Nonlinear Electrokinetic Transport in Porous Media
Shima Alizadeh, Martin Z. Bazant, Ali Mani
We present a numerical study of nonlinear electrokinetic transport in porous media, focusing on the role of heterogeneity in a porous microstructure on ion concentration polarizati…
Convolutional Neural Networks for Facial Expression Recognition
Shima Alizadeh, Azar Fazel
We have developed convolutional neural networks (CNN) for a facial expression recognition task. The goal is to classify each facial image into one of the seven facial emotion categ…
A multi-scale model for electrokinetic transport in networks of micro-scale and nano-scale pores
Shima Alizadeh, Ali Mani
We present an efficient and robust numerical model for simulation of electrokinetic phenomena in porous networks over a wide range of applications including energy conversion, desa…