Publications

Data-driven modeling and optimization in fluid dynamics: From physics-based to machine learning approaches, vol. 16648714, Frontiers Media SA, 2023, p. 41

Recursive Update Filtering: A New Approach

Kristen Michaelson, Andrey A. Popov, Renato Zanetti

AAS/AIAA Astrodynamics Specialist Conference, Austin, TX, vol. 23, 2023

A Fast Time-Stepping Strategy for Dynamical Systems Equipped with a Surrogate Model

Steven Roberts, Andrey A Popov, Arash Sarshar, Adrian Sandu

SIAM Journal on Scientific Computing, vol. 44, SIAM, 2022, pp. A1405--A1427

A Meta-learning Formulation of the Autoencoder Problem for Non-linear Dimensionality Reduction

Andrey A Popov, Arash Sarshar, Austin Chennault, Adrian Sandu

arXiv preprint arXiv:2207.06676, 2022

A stochastic covariance shrinkage approach to particle rejuvenation in the ensemble transform particle filter

Andrey A Popov, Amit N Subrahmanya, Adrian Sandu

Nonlinear Processes in Geophysics, vol. 29, Copernicus GmbH, 2022, pp. 241--253

Combining Data-driven and Theory-guided Models in Ensemble Data Assimilation

Andrey Anatoliyevich Popov

Virginia Tech, 2022

Multifidelity data assimilation for physical systems

Andrey A Popov, Adrian Sandu

Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV), Springer International Publishing, 2022, pp. 43--67

The Model Forest Ensemble Kalman Filter

Andrey A Popov, Adrian Sandu

arXiv preprint arXiv:2210.11971, 2022

Adjoint-matching neural network surrogates for fast 4D-var data assimilation

Austin Chennault, Andrey A Popov, Amit N Subrahmanya, Rachel Cooper, Ali Haisam Muhammad Rafid, Anuj Karpatne, Adrian Sandu

arXiv preprint arXiv:2111.08626, 2021

A multifidelity ensemble Kalman filter with reduced order control variates

Andrey A Popov, Changhong Mou, Adrian Sandu, Traian Iliescu

SIAM Journal on Scientific Computing, vol. 43, SIAM, 2021, pp. A1134--A1162

Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder

Rachel Cooper, Andrey A Popov, Adrian Sandu

arXiv preprint arXiv:2108.12344, 2021

An Explicit Probabilistic Derivation of Inflation in a Scalar Ensemble Kalman Filter for Finite Step, Finite Ensemble Convergence

Andrey A Popov, Adrian Sandu

arXiv preprint arXiv:2003.13162, 2020

A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering

Andrey A Popov, Adrian Sandu, Elias D Nino-Ruiz, Geir Evensen

Tellus A, 2020

A Bayesian approach to multivariate adaptive localization in ensemble-based data assimilation with time-dependent extensions

Andrey A Popov, Adrian Sandu

Nonlinear Processes in Geophysics, vol. 26, Copernicus GmbH, 2019, pp. 109--122

ODE Test Problems: a MATLAB suite of initial value problems

Steven Roberts, Andrey A Popov, Arash Sarshar, Adrian Sandu

arXiv preprint arXiv:1901.04098, 2019

Fast Parallel Algorithm for Large Fractal Kinetic Models with Diffusion

AA Popov, S-C Lee, PP Kuksa, JD Glickson, AA Shestov

bioRxiv, Cold Spring Harbor Laboratory, 2018, p. 275248

Synthesis and NMR study of fluorinated aryl (sulfone) phthaleins

Anatoliy V Popov, E James Delikatny, Joel S Karp, Andrey A Popov, Alexander V Kachur

ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, vol. 245, AMER CHEMICAL SOC 1155 16TH ST, NW, WASHINGTON, DC 20036 USA, 2013

Synthesis of 18F-labeled phenolphthalein and naphtholphthalein

Alexander V Kachur, Andrey A Popov, E James Delikatny, Joel S Karp, Anatoliy V Popov

Journal of fluorine chemistry, vol. 151, Elsevier, 2013, pp. 1--6