Publications

Stacked networks improve physics-informed training: applications to neural networks and deep operator networks

Jan 1, 2023

PyOED: An Extensible Suite for Data Assimilation and Model-Constrained Optimal Design of Experiments

Jan 1, 2023

Physics guided machine learning for variational multiscale reduced order modeling

Jan 1, 2023

On the dual advantage of placing observations through forward sensitivity analysis

Jan 1, 2023

Forward Sensitivity Analysis and Mode Dependent Control for Closure Modeling of Galerkin Systems

Jan 1, 2023

A multifidelity deep operator network approach to closure for multiscale systems

Jan 1, 2023

Sketching methods for dynamic mode decomposition in spherical shallow water equations

Jan 1, 2022

Nonintrusive Reduced Order Modelling of Convective Boussinesq Flows

Jan 1, 2022

Hybrid deep-learning POD-based parametric reduced order model for flow around wind-turbine blade

Jan 1, 2022

Dynamic mode decomposition with core sketch

Jan 1, 2022

On closures for reduced order models—A spectrum of first-principle to machine-learned avenues

Jan 1, 2021

Nonlinear Filtering for Simultaneous State Correction and Eddy Viscosity Estimation in Computational Fluid Dynamics

Jan 1, 2021

Multifidelity computing for coupling full and reduced order models

Jan 1, 2021

Hybrid analysis and modeling for next generation of digital twins

Jan 1, 2021

Forward Sensitivity Analysis of the FitzHugh--Nagumo System: Parameter Estimation

Jan 1, 2021

A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction

Jan 1, 2021

A non-intrusive parametric reduced order model for urban wind flow using deep learning and Grassmann manifold.

Jan 1, 2021

Sampling and resolution characteristics in reduced order models of shallow water equations: Intrusive vs nonintrusive

Jan 1, 2020

PyDA: A hands-on introduction to dynamical data assimilation with python

Jan 1, 2020

Long short-term memory embedded nudging schemes for nonlinear data assimilation of geophysical flows

Jan 1, 2020

Interface learning of multiphysics and multiscale systems

Jan 1, 2020

Interface learning in fluid dynamics: Statistical inference of closures within micro--macro-coupling models

Jan 1, 2020

Forward sensitivity approach for estimating eddy viscosity closures in nonlinear model reduction

Jan 1, 2020

Data-driven recovery of hidden physics in reduced order modeling of fluid flows

Jan 1, 2020

Breaking the Kolmogorov barrier in model reduction of fluid flows

Jan 1, 2020

An evolve-then-correct reduced order model for hidden fluid dynamics

Jan 1, 2020

A long short-term memory embedding for hybrid uplifted reduced order models

Jan 1, 2020

Memory embedded non-intrusive reduced order modeling of non-ergodic flows

Jan 1, 2019

A dynamic closure modeling framework for model order reduction of geophysical flows

Jan 1, 2019

Dynamic model of calcium looping carbonator using alternating bubbling beds with gas switching

Jan 1, 2017

Modeling of Carbon Dioxide Capture in Fluidized Bed

Jan 1, 2016