activity
20232026
most citedOnline learning of quadratic manifolds from streaming data for nonlinear dimensionality reduction and nonlinear model reduction

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Ranking Competing geologic interpretations via foundation-model-assisted generative hydrologic inversion

Harun Ur Rashid, Daniel O'Malley

High-consequence subsurface decisions often rely on sparse data that permit competing geological interpretations. Determining consistency of these interpretations with the availabl…

cs.LG2026

Physics-informed reservoir characterization from bulk and extreme pressure events with a differentiable simulator

Harun Ur Rashid, Mingxin Li, Aleksandra Pachalieva +2

Accurate characterization of subsurface heterogeneity is challenging but essential for applications such as reservoir pressure management, geothermal energy extraction and CO,…

cs.LG2026

Out-of-distribution transfer of PDE foundation models to material dynamics under extreme loading

Mahindra Rautela, Alexander Most, Siddharth Mansingh +9

Most PDE foundation models are pretrained and fine-tuned on fluid-centric benchmarks. Their utility under extreme-loading material dynamics remains unclear. We benchmark out-of-dis…

cs.LG2025

Differentiable multiphase flow model for physics-informed machine learning in reservoir pressure management

Harun Ur Rashid, Aleksandra Pachalieva, Daniel O'Malley

Accurate subsurface reservoir pressure control is extremely challenging due to geological heterogeneity and multiphase fluid-flow dynamics. Predicting behavior in this setting reli…

math.NA2024★ 1 cited

Online learning of quadratic manifolds from streaming data for nonlinear dimensionality reduction and nonlinear model reduction

Paul Schwerdtner, Prakash Mohan, Aleksandra Pachalieva +3

This work introduces an online greedy method for constructing quadratic manifolds from streaming data, designed to enable in-situ analysis of numerical simulation data on the Petab…

cs.CE2023

Learning the Factors Controlling Mineralization for Geologic Carbon Sequestration

Aleksandra Pachalieva, Jeffrey D. Hyman, Daniel O'Malley +2

We perform a set of flow and reactive transport simulations within three-dimensional fracture networks to learn the factors controlling mineral reactions. CO mineralization req…

stat.CO2023

Computationally Efficient and Error Aware Surrogate Construction for Numerical Solutions of Subsurface Flow Through Porous Media

Aleksei G. Sorokin, Aleksandra Pachalieva, Daniel O'Malley +3

Limiting the injection rate to restrict the pressure below a threshold at a critical location can be an important goal of simulations that model the subsurface pressure between inj…