Improved Quasi-Steady-State-Approximation Methods for Atmospheric Chemistry Integration. - Laurent O. Jay; Adrian Sandu; Florian A. Potra; Gregory R. Carmichael (SIAM J. Sci. Comput., 1997)

Application of ADIFOR for air pollution model sensitivity studies. - Shan He; Gregory R. Carmichael; Adrian Sandu; Brian Hotchkiss; Valeriu Damian-Iordache (Environ. Model. Softw., 2000)

Parallel Molecular Dynamics on Scyld Clusters. - John F. Duff; Phillip Merkey; Adrian Sandu (PP, 2001)

Computational Aspects of Chemical Data Assimilation into Atmospheric Models. - Gregory R. Carmichael; Dacian N. Daescu; Adrian Sandu; Tianfeng Chai (International Conference on Computational Science, 2003)

Computational Sciences Track Editorial. - Adrian Sandu (SAC, 2003)

Discretizing Aerosol Dynamics with B-Splines. - Adrian Sandu; Christian T. Borden (SAC, 2003)

Computational Aspects of Data Assimilation for Aerosol Dynamics. - Adrian Sandu; Wenyuan Liao; Gregory R. Carmichael; Daven Henze; John H. Seinfeld; Tianfeng Chai; Dacian N. Daescu (International Conference on Computational Science, 2004)

Adaptive resolution modeling of regional air quality. - Chaitanya Belwal; Adrian Sandu; Emil M. Constantinescu (SAC, 2004)

Editorial message: special track on computational sciences. - Adrian Sandu (SAC, 2004)

On Adaptive Mesh Refinement for Atmospheric Pollution Models. - Emil M. Constantinescu; Adrian Sandu (International Conference on Computational Science (2), 2005)

Total Energy Singular Vectors for Atmospheric Chemical Transport Models. - Wenyuan Liao; Adrian Sandu (International Conference on Computational Science (2), 2005)

Analysis of Discrete Adjoints for Upwind Numerical Schemes. - Zheng Liu; Adrian Sandu (International Conference on Computational Science (2), 2005)

Ensemble-Based Data Assimilation for Atmospheric Chemical Transport Models. - Adrian Sandu; Emil M. Constantinescu; Wenyuan Liao; Gregory R. Carmichael; Tianfeng Chai; John H. Seinfeld; Dacian N. Daescu (International Conference on Computational Science (2), 2005)

Forward, Tangent Linear, and Adjoint Runge-Kutta Methods in KPP-2.2. - Philipp Miehe; Adrian Sandu (International Conference on Computational Science (3), 2006)

Targeted Observations for Atmospheric Chemistry and Transport Models. - Adrian Sandu (International Conference on Computational Science (1), 2006)

On the Properties of Runge-Kutta Discrete Adjoints. - Adrian Sandu (International Conference on Computational Science (4), 2006)

An investigation of discrete adjoints for flux-limited numerical schemes. - Mihai Alexe; Adrian Sandu (ACM Southeast Regional Conference, 2007)

Numerical study of uncertainty quantification techniques for implicit stiff systems. - Haiyan Cheng; Adrian Sandu (ACM Southeast Regional Conference, 2007)

Localized Ensemble Kalman Dynamic Data Assimilation for Atmospheric Chemistry. - Adrian Sandu; Emil M. Constantinescu; Gregory R. Carmichael; Tianfeng Chai; John H. Seinfeld; Dacian N. Daescu (International Conference on Computational Science (1), 2007)

Data Assimilation in Multiscale Chemical Transport Models. - Lin Zhang; Adrian Sandu (International Conference on Computational Science (1), 2007)

Performance of stabilized explicit time integration methods for parallel air quality models. - Anurag Srivastava; John C. Linford; Adrian Sandu (SpringSim (2), 2007)

Multirate Timestepping Methods for Hyperbolic Conservation Laws. - Emil M. Constantinescu; Adrian Sandu (J. Sci. Comput., 2007)

Optimizing large scale chemical transport models for multicore platforms. - John C. Linford; Adrian Sandu (SpringSim, 2008)

Predicting air quality: Improvements through advanced methods to integrate models and measurements. - Gregory R. Carmichael; Adrian Sandu; Tianfeng Chai; Dacian N. Daescu; Emil M. Constantinescu; Youhua Tang (J. Comput. Phys., 2008)

Discrete second order adjoints in atmospheric chemical transport modeling. - Adrian Sandu; Lin Zhang (J. Comput. Phys., 2008)

Explicit Time Stepping Methods with High Stage Order and Monotonicity Properties. - Emil M. Constantinescu; Adrian Sandu (ICCS (2), 2009)

Chemical Data Assimilation with CMAQ: Continuous vs. Discrete Advection Adjoints. - Tianyi Gou; Kumaresh Singh; Adrian Sandu (ICCS (2), 2009)

Atmospheric and Oceanic Computational Science. - Adrian Sandu; Amik St.-Cyr; Katherine J. Evans (ICCS (2), 2009)

Improving GEOS-Chem Model Tropospheric Ozone through Assimilation of Pseudo Tropospheric Emission Spectrometer Profile Retrievals. - Kumaresh Singh; Paul Eller; Adrian Sandu; Kevin W. Bowman; Dylan B. A. Jones; Meemong Lee (ICCS (2), 2009)

A comparison of programming models for multiprocessors with explicitly managed memory hierarchies. - Scott Schneider 001; Jae-Seung Yeom; Benjamin Rose; John C. Linford; Adrian Sandu; Dimitrios S. Nikolopoulos (PPoPP, 2009)

Uncertainty apportionment for air quality forecast models. - Haiyan Cheng; Adrian Sandu (SAC, 2009)

Vector stream processing for effective application of heterogeneous parallelism. - John C. Linford; Adrian Sandu (SAC, 2009)

Multi-core acceleration of chemical kinetics for simulation and prediction. - John C. Linford; John Michalakes; Manish Vachharajani; Adrian Sandu (SC, 2009)

Towards the construction of a standard adjoint GEOS-Chem model. - Kumaresh Singh; Paul Eller; Adrian Sandu; Daven Henze; Kevin W. Bowman; Monika Kopacz; Meemong Lee (SpringSim, 2009)

Forward and adjoint sensitivity analysis with continuous explicit Runge-Kutta schemes. - Mihai Alexe; Adrian Sandu (Appl. Math. Comput., 2009)

Uncertainty quantification and apportionment in air quality models using the polynomial chaos method. - Haiyan Cheng; Adrian Sandu (Environ. Model. Softw., 2009)

On the discrete adjoints of adaptive time stepping algorithms. - Mihai Alexe; Adrian Sandu (J. Comput. Appl. Math., 2009)

Multirate Explicit Adams Methods for Time Integration of Conservation Laws. - Adrian Sandu; Emil M. Constantinescu (J. Sci. Comput., 2009)

Efficient uncertainty quantification with the polynomial chaos method for stiff systems. - Haiyan Cheng; Adrian Sandu (Math. Comput. Simul., 2009)

Parallel stochastic simulations of budding yeast cell cycle: load balancing strategies and theoretical analysis. - Tae-Hyuk Ahn; Adrian Sandu (BCB, 2010)

Obtaining and using second order derivative information in the solution of large scale inverse problems. - Mihai Alexe; Alexandru Cioaca; Adrian Sandu (SpringSim, 2010)

Collocation least-squares polynomial chaos method. - Haiyan Cheng; Adrian Sandu (SpringSim, 2010)

Development and acceleration of parallel chemical transport models. - Paul Eller; Kumaresh Singh; Adrian Sandu (SpringSim, 2010)

An efficient error control mechanism for the adaptive 'parareal' time discretization algorithm. - Bianca Lepsa; Adrian Sandu (SpringSim, 2010)

Forward, tangent linear, and adjoint Runge-Kutta methods for stiff chemical kinetic simulations. - Adrian Sandu; Philipp Miehe (Int. J. Comput. Math., 2010)

Extrapolated Implicit-Explicit Time Stepping. - Emil M. Constantinescu; Adrian Sandu (SIAM J. Sci. Comput., 2010)

Optimal Explicit Strong-Stability-Preserving General Linear Methods. - Emil M. Constantinescu; Adrian Sandu (SIAM J. Sci. Comput., 2010)

Efficient Computation of Observation Impact in 4D-Var Data Assimilation. - Alexandru Cioaca; Adrian Sandu; Eric de Sturler; Emil M. Constantinescu (WoCoUQ, 2011)

Fully implicit tau-leaping methods for the stochastic simulation of chemical kinetics. - Tae-Hyuk Ahn; Adrian Sandu (SpringSim (HPC), 2011)

FATODE: a library for forward, adjoint and tangent linear integration of stiff systems. - Hong Zhang 006; Adrian Sandu (SpringSim (HPC), 2011)

Implicit Second Order Weak Taylor Tau-Leaping Methods for the Stochastic Simulation of Chemical Kinetics. - Tae-Hyuk Ahn; Adrian Sandu (ICCS, 2011)

On the adaptive solution of space-time inverse problems with the adjoint method. - Mihai Alexe; Adrian Sandu (ICCS, 2011)

Scalable heterogeneous parallelism for atmospheric modeling and simulation. - John C. Linford; Adrian Sandu (J. Supercomput., 2011)

Automatic Generation of Multicore Chemical Kernels. - John C. Linford; John Michalakes; Manish Vachharajani; Adrian Sandu (IEEE Trans. Parallel Distributed Syst., 2011)

Variational chemical data assimilation with approximate adjoints. - Kumaresh Singh; Adrian Sandu (Comput. Geosci., 2012)

Second-order adjoints for solving PDE-constrained optimization problems. - Alexandru Cioaca; Mihai Alexe; Adrian Sandu (Optim. Methods Softw., 2012)

An Effcient Implementation of the Ensemble Kalman Filter Based on Iterative Sherman Morrison Formula. - Elias D. Niño; Adrian Sandu; Jeffrey L. Anderson (ICCS, 2012)

An Adjoint Based Implementation of the Parareal Algorithm. - Vishwas Rao; Adrian Sandu (ICCS, 2012)

Information Theoretic Metrics to Characterize Observations in Variational Data Assimilation. - Kumaresh Singh; Adrian Sandu; M. Jardak; Meemong Lee; Kevin W. Bowman (ICCS, 2012)

A Second-order Diagonally-Implicit-Explicit Multi-Stage Integration Method. - Hong Zhang 006; Adrian Sandu (ICCS, 2012)

Dynamic Sensor Network Configuration in InfoSymbiotic Systems Using Model Singular Vectors. - Adrian Sandu; Alexandru Cioaca; Vishwas Rao (ICCS, 2013)

CUDA acceleration of a matrix-free Rosenbrock-K method applied to the shallow water equations. - Paul Tranquilli; Ross Glandon; Adrian Sandu (ScalA@SC, 2013)

A class of generalized additive Runge-Kutta methods. - Adrian Sandu; Michael Günther 005 (CoRR, 2013)

Implicit-explicit DIMSIM time stepping algorithms - Hong Zhang 006; Adrian Sandu (CoRR, 2013)

Implicit Simulation Methods for Stochastic Chemical Kinetics - Tae-Hyuk Ahn; Adrian Sandu; Xiaoying Han (CoRR, 2013)

Efficient methods for computing observation impact in 4D-Var data assimilation - Alexandru Cioaca; Adrian Sandu; Eric de Sturler (CoRR, 2013)

Extrapolated Multirate Methods for Differential Equations with Multiple Time Scales. - Emil M. Constantinescu; Adrian Sandu (J. Sci. Comput., 2013)

A Practical Method to Estimate Information Content in the Context of 4D-Var Data Assimilation. - Kumaresh Singh; Adrian Sandu; M. Jardak; Kevin W. Bowman; Meemong Lee (SIAM/ASA J. Uncertain. Quantification, 2013)

Stability Analysis of the Matrix-Free Linearly Implicit Euler Method. - Adrian Sandu; Amik St.-Cyr (Domain Decomposition Methods in Science and Engineering XX, 2013)

A Sampling Approach for Four Dimensional Data Assimilation. - Ahmed Attia; Vishwas Rao; Adrian Sandu (DyDESS, 2014)

Variational Data Assimilation Based on Derivative-Free Optimization. - Elias D. Niño; Adrian Sandu (DyDESS, 2014)

A Posteriori Error Estimates for DDDAS Inference Problems. - Vishwas Rao; Adrian Sandu (ICCS, 2014)

Low-rank approximations for computing observation impact in 4D-Var data assimilation. - Alexandru Cioaca; Adrian Sandu (Comput. Math. Appl., 2014)

A Sampling Filter for Non-Gaussian Data Assimilation. - Ahmed Attia; Adrian Sandu (CoRR, 2014)

Approximate Exponential Algorithms to Solve the Chemical Master Equation. - Azam S. Zavar Moosavi; Adrian Sandu (CoRR, 2014)

Solving stochastic chemical kinetics by Metropolis Hastings sampling. - Azam S. Zavar Moosavi; Paul Tranquilli; Adrian Sandu (CoRR, 2014)

Efficient approximation of sparse Jacobians for time-implicit reduced order models. - Razvan Stefanescu; Adrian Sandu (CoRR, 2014)

Comparison of POD reduced order strategies for the nonlinear 2D Shallow Water Equations. - Razvan Stefanescu; Adrian Sandu; Ionel Michael Navon (CoRR, 2014)

POD/DEIM Strategies for reduced data assimilation systems. - Razvan Stefanescu; Adrian Sandu; Ionel Michael Navon (CoRR, 2014)

Lightly Implicit Krylov-Exponential (LIKE) Methods. - Paul Tranquilli; Adrian Sandu (CoRR, 2014)

Dynamic Response Optimization of Complex Multibody Systems in a Penalty Formulation using Adjoint Sensitivity. - Yitao Zhu; Daniel Dopico; Corina Sandu; Adrian Sandu (CoRR, 2014)

Space-time adaptive solution of inverse problems with the discrete adjoint method. - Mihai Alexe; Adrian Sandu (J. Comput. Phys., 2014)

An optimization framework to improve 4D-Var data assimilation system performance. - Alexandru Cioaca; Adrian Sandu (J. Comput. Phys., 2014)

Exponential-Krylov methods for ordinary differential equations. - Paul Tranquilli; Adrian Sandu (J. Comput. Phys., 2014)

An adjoint-based scalable algorithm for time-parallel integration. - Vishwas Rao; Adrian Sandu (J. Comput. Sci., 2014)

Partitioned and Implicit-Explicit General Linear Methods for Ordinary Differential Equations. - Hong Zhang 006; Adrian Sandu; Sébastien Blaise (J. Sci. Comput., 2014)

Extrapolation-based implicit-explicit general linear methods. - Angelamaria Cardone; Zdzislaw Jackiewicz; Adrian Sandu; Hong Zhang 006 (Numer. Algorithms, 2014)

A new look at the chemical master equation. - Adrian Sandu (Numer. Algorithms, 2014)

Rosenbrock-Krylov Methods for Large Systems of Differential Equations. - Paul Tranquilli; Adrian Sandu (SIAM J. Sci. Comput., 2014)

FATODE: A Library for Forward, Adjoint, and Tangent Linear Integration of ODEs. - Hong Zhang 006; Adrian Sandu (SIAM J. Sci. Comput., 2014)

Introduction to HiPC Workshops 3 and 4. - Aniruddha S. Gokhale; Salim Hariri; Adrian Sandu; Vaidy S. Sunderam (HiPC Workshops, 2015)

Parallel Solution of DDDAS Variational Inference Problems. - Vishwas Rao; Adrian Sandu (ICCS, 2015)

A parallel ensemble Kalman filter implementation based on modified Cholesky decomposition. - Elias David Niño Ruiz; Adrian Sandu; Xinwei Deng (ScalA@SC, 2015)

A Hybrid Monte-Carlo Sampling Smoother for Four Dimensional Data Assimilation. - Ahmed Attia; Vishwas Rao; Adrian Sandu (CoRR, 2015)

Efficient Construction of Local Parametric Reduced Order Models Using Machine Learning Techniques. - Azam S. Zavar Moosavi; Razvan Stefanescu; Adrian Sandu (CoRR, 2015)

A Framework to Analyze the Performance of Load Balancing Schemes for Ensembles of Stochastic Simulations. - Tae-Hyuk Ahn; Adrian Sandu; Layne T. Watson; Clifford A. Shaffer; Yang Cao 001; William T. Baumann (Int. J. Parallel Program., 2015)

Application of approximate matrix factorization to high order linearly implicit Runge-Kutta methods. - Hong Zhang 006; Adrian Sandu; Paul Tranquilli (J. Comput. Appl. Math., 2015)

POD/DEIM reduced-order strategies for efficient four dimensional variational data assimilation. - Razvan Stefanescu; Adrian Sandu; Ionel Michael Navon (J. Comput. Phys., 2015)

A Posteriori Error Estimates for the Solution of Variational Inverse Problems. - Vishwas Rao; Adrian Sandu (SIAM/ASA J. Uncertain. Quantification, 2015)

An efficient implementation of the ensemble Kalman filter based on an iterative Sherman-Morrison formula. - Elias David Niño Ruiz; Adrian Sandu; Jeffrey L. Anderson (Stat. Comput., 2015)

A Generalized-Structure Approach to Additive Runge-Kutta Methods. - Adrian Sandu; Michael Günther 005 (SIAM J. Numer. Anal., 2015)

A Class Of Implicit-Explicit Two-Step Runge-Kutta Methods. - Evgeniy Zharovsky; Adrian Sandu; Hong Zhang 006 (SIAM J. Numer. Anal., 2015)

Application of the Generalized Polynomial Chaos to the LQR Control Problem with Uncertain Parameters in the Formulation. - Corina Sandu; Emmanuel Blanchard; Adrian Sandu (Advanced Autonomous Vehicle Design for Severe Environments, 2015)

Treatment of Uncertainties in Multibody Dynamic Systems using a Generalized Polynomial Chaos Approach; Case Study on a Full Vehicle. - Corina Sandu; Lin Li; Adrian Sandu (Advanced Autonomous Vehicle Design for Severe Environments, 2015)

Cluster Sampling Filters for Non-Gaussian Data Assimilation. - Ahmed Attia; Azam S. Zavar Moosavi; Adrian Sandu (CoRR, 2016)

The Reduced-Order Hybrid Monte Carlo Sampling Smoother. - Ahmed Attia; Razvan Stefanescu; Adrian Sandu (CoRR, 2016)

A Numerical Investigation of Matrix-Free Implicit Time-Stepping Methods for Large CFD Simulations. - Arash Sarshar; Paul Tranquilli; Brent Pickering; Andrew McCall; Adrian Sandu; Christopher J. Roy (CoRR, 2016)

Rosenbrock methods with an explicit first stage. - Adrian Sandu (Int. J. Comput. Math., 2016)

A derivative-free trust region framework for variational data assimilation. - Elias David Niño Ruiz; Adrian Sandu (J. Comput. Appl. Math., 2016)

A time-parallel approach to strong-constraint four-dimensional variational data assimilation. - Vishwas Rao; Adrian Sandu (J. Comput. Phys., 2016)

Multirate generalized additive Runge Kutta methods. - Michael Günther 005; Adrian Sandu (Numerische Mathematik, 2016)

High Order Implicit-explicit General Linear Methods with Optimized Stability Regions. - Hong Zhang 006; Adrian Sandu; Sébastien Blaise (SIAM J. Sci. Comput., 2016)

DATeS: A Highly-Extensible Data Assimilation Testing Suite. - Ahmed Attia; Adrian Sandu (CoRR, 2017)

Multivariate predictions of local reduced-order-model errors and dimensions. - Azam S. Zavar Moosavi; Razvan Stefanescu; Adrian Sandu (CoRR, 2017)

Analytical Jacobian-vector products for the matrix-free time integration of partial differential equations. - Paul Tranquilli; Ross Glandon; Arash Sarshar; Adrian Sandu (J. Comput. Appl. Math., 2017)

Robust Data Assimilation Using L1 and Huber Norms. - Vishwas Rao; Adrian Sandu; Michael Ng 001; Elias David Niño Ruiz (SIAM J. Sci. Comput., 2017)

A Machine Learning Approach to Adaptive Covariance Localization. - Azam S. Zavar Moosavi; Ahmed Attia; Adrian Sandu (CoRR, 2018)

A Bayesian Approach to Multivariate Adaptive Localization in Ensemble-Based Data Assimilation with Time-Dependent Extensions. - Andrey A. Popov; Adrian Sandu (CoRR, 2018)

Parametric domain decomposition for accurate reduced order models: Applications of MP-LROM methodology. - Razvan Stefanescu; Azam S. Zavar Moosavi; Adrian Sandu (J. Comput. Appl. Math., 2018)

Solving parameter estimation problems with discrete adjoint exponential integrators. - Ulrich Römer; Mahesh Narayanamurthi; Adrian Sandu (Optim. Methods Softw., 2018)

An Ensemble Kalman Filter Implementation Based on Modified Cholesky Decomposition for Inverse Covariance Matrix Estimation. - Elias David Niño Ruiz; Adrian Sandu; Xinwei Deng (SIAM J. Sci. Comput., 2018)

Tuning Covariance Localization Using Machine Learning. - Azam S. Zavar Moosavi; Ahmed Attia; Adrian Sandu (ICCS (4), 2019)

A Learning-Based Approach for Uncertainty Analysis in Numerical Weather Prediction Models. - Azam S. Zavar Moosavi; Vishwas Rao; Adrian Sandu (ICCS (4), 2019)

Efficient parallel implementation of DDDAS inference using an ensemble Kalman filter with shrinkage covariance matrix estimation. - Elias David Niño Ruiz; Adrian Sandu (Clust. Comput., 2019)

ODE Test Problems: a MATLAB suite of initial value problems. - Steven B. Roberts; Andrey A. Popov; Adrian Sandu (CoRR, 2019)

Alternating Directions Implicit Integration in a General Linear Method Framework. - Arash Sarshar; Adrian Sandu (CoRR, 2019)

Partitioned Exponential Methods for Coupled Multiphysics Systems. - Mahesh Narayanamurthi; Adrian Sandu (CoRR, 2019)

Biorthogonal Rosenbrock-Krylov time discretization methods. - Ross Glandon; Paul Tranquilli; Adrian Sandu (CoRR, 2019)

Adaptive Krylov-Type Time Integration Methods. - Paul Tranquilli; Ross Glandon; Adrian Sandu (CoRR, 2019)

Efficient implementation of partitioned stiff exponential Runge-Kutta methods. - Mahesh Narayanamurthi; Adrian Sandu (CoRR, 2019)

A tiered, system-of-systems modeling framework for resolving complex socio-environmental policy issues. - John C. Little; Erich T. Hester; Sondoss ElSawah; George M. Filz; Adrian Sandu; Cayelan C. Carey; Takuya Iwanaga; Anthony J. Jakeman (Environ. Model. Softw., 2019)

A parallel implementation of the ensemble Kalman filter based on modified Cholesky decomposition. - Elias David Niño Ruiz; Adrian Sandu; Xinwei Deng (J. Comput. Sci., 2019)

EPIRK-W and EPIRK-K Time Discretization Methods. - Mahesh Narayanamurthi; Paul Tranquilli; Adrian Sandu; Mayya Tokman (J. Sci. Comput., 2019)

A Class of Multirate Infinitesimal GARK Methods. - Adrian Sandu (SIAM J. Numer. Anal., 2019)

Design of High-Order Decoupled Multirate GARK Schemes. - Arash Sarshar; Steven B. Roberts; Adrian Sandu (SIAM J. Sci. Comput., 2019)

Goal-oriented a posteriori estimation of numerical errors in the solution of multiphysics systems. - Mahesh Narayanamurthi; Ulrich Römer; Adrian Sandu (CoRR, 2020)

Parallel implicit-explicit general linear methods. - Steven B. Roberts; Arash Sarshar; Adrian Sandu (CoRR, 2020)

A Stochastic Covariance Shrinkage Approach in Ensemble Transform Kalman Filtering. - Andrey A. Popov; Adrian Sandu; Elias David Niño Ruiz; Geir Evensen (CoRR, 2020)

An Explicit Probabilistic Derivation of Inflation in a Scalar Ensemble Kalman Filter for Finite Step, Finite Ensemble Convergence. - Andrey A. Popov; Adrian Sandu (CoRR, 2020)

Convergence Results for Implicit-Explicit General Linear Methods. - Adrian Sandu (CoRR, 2020)

Linearly implicit GARK schemes. - Adrian Sandu; Michael Günther 005; Steven B. Roberts (CoRR, 2020)

A fast time-stepping strategy for ODE systems equipped with a surrogate model. - Steven B. Roberts; Andrey A. Popov; Arash Sarshar; Adrian Sandu (CoRR, 2020)

Coupled Multirate Infinitesimal GARK Schemes for Stiff Systems with Multiple Time Scales. - Steven B. Roberts; Arash Sarshar; Adrian Sandu (SIAM J. Sci. Comput., 2020)

Multirate Linearly-Implicit GARK Schemes. - Michael Günther 005; Adrian Sandu (CoRR, 2021)

Multifidelity Ensemble Kalman Filtering using surrogate models defined by Physics-Informed Autoencoders. - Andrey A. Popov; Adrian Sandu (CoRR, 2021)

Symplectic GARK methods for Hamiltonian systems. - Michael Günther 005; Adrian Sandu; Antonella Zanna (CoRR, 2021)

Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder. - Rachel Cooper; Andrey A. Popov; Adrian Sandu (CoRR, 2021)

A Stochastic Covariance Shrinkage Approach to Particle Rejuvenation in the Ensemble Transform Particle Filter. - Andrey A. Popov; Amit N. Subrahmanya; Adrian Sandu (CoRR, 2021)

Adjoint-Matching Neural Network Surrogates for Fast 4D-Var Data Assimilation. - Austin Chennault; Andrey A. Popov; Amit N. Subrahmanya; Rachel Cooper; Anuj Karpatne; Adrian Sandu (CoRR, 2021)

An Ensemble Variational Fokker-Planck Method for Data Assimilation. - Amit N. Subrahmanya; Andrey A. Popov; Adrian Sandu (CoRR, 2021)

Multirate implicit Euler schemes for a class of differential-algebraic equations of index-1. - Christoph Hachtel; Andreas Bartel; Michael Günther 005; Adrian Sandu (J. Comput. Appl. Math., 2021)

Alternating directions implicit integration in a general linear method framework. - Arash Sarshar; Steven B. Roberts; Adrian Sandu (J. Comput. Appl. Math., 2021)

Subspace adaptivity in Rosenbrock-Krylov methods for the time integration of initial value problems. - Paul Tranquilli; Ross Glandon; Adrian Sandu (J. Comput. Appl. Math., 2021)

Machine learning based algorithms for uncertainty quantification in numerical weather prediction models. - Azam S. Zavar Moosavi; Vishwas Rao; Adrian Sandu (J. Comput. Sci., 2021)

Implicit Multirate GARK Methods. - Steven B. Roberts; John Loffeld; Arash Sarshar; Carol S. Woodward; Adrian Sandu (J. Sci. Comput., 2021)

A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates. - Andrey A. Popov; Changhong Mou; Adrian Sandu; Traian Iliescu (SIAM J. Sci. Comput., 2021)

Conservative High-Order Time Integration for Lagrangian Hydrodynamics. - Adrian Sandu; Vladimir Z. Tomov; Lenka Cervená; Tzanio V. Kolev (SIAM J. Sci. Comput., 2021)

Eliminating Order Reduction on Linear, Time-Dependent ODEs with GARK Methods. - Steven B. Roberts; Adrian Sandu (CoRR, 2022)

Physics-informed neural networks for PDE-constrained optimization and control. - Jostein Barry-Straume; Arash Sarshar; Andrey A. Popov; Adrian Sandu (CoRR, 2022)

A Meta-learning Formulation of the Autoencoder Problem for Non-linear Dimensionality Reduction. - Andrey A. Popov; Arash Sarshar; Austin Chennault; Adrian Sandu (CoRR, 2022)

The Model Forest Ensemble Kalman Filter. - Andrey A. Popov; Adrian Sandu (CoRR, 2022)

A Two-Level Galerkin Reduced Order Model for the Steady Navier-Stokes Equations. - Dylan Park; Changhong Mou; Honghu Liu; Adrian Sandu; Traian Iliescu (CoRR, 2022)

Multifidelity Ensemble Kalman Filtering Using Surrogate Models Defined by Theory-Guided Autoencoders. - Andrey A. Popov; Adrian Sandu (Frontiers Appl. Math. Stat., 2022)

A unified formulation of splitting-based implicit time integration schemes. - Severiano González-Pinto; Domingo Hernández-Abreu; Maria Soledad Pérez-Rodríguez; Arash Sarshar; Steven B. Roberts; Adrian Sandu (J. Comput. Phys., 2022)

Linearly Implicit Multistep Methods for Time Integration. - Steven R. Glandon; Mahesh Narayanamurthi; Adrian Sandu (SIAM J. Sci. Comput., 2022)

A Fast Time-Stepping Strategy for Dynamical Systems Equipped with a Surrogate Model. - Steven B. Roberts; Andrey A. Popov; Arash Sarshar; Adrian Sandu (SIAM J. Sci. Comput., 2022)

Neural Network Reduction with Guided Regularizers. - Ali Haisam Muhammad Rafid; Adrian Sandu (CoRR, 2023)

Symplectic multirate generalized additive Runge-Kutta methods for Hamiltonian systems. - Kevin Schäfers; Michael Günther 005; Adrian Sandu (CoRR, 2023)

Adversarial Training Using Feedback Loops. - Ali Haisam Muhammad Rafid; Adrian Sandu (CoRR, 2023)

Simultaneous Optimal System and Controller Design for Multibody Systems with Joint Friction using Direct Sensitivities. - Adwait Verulkar; Corina Sandu; Adrian Sandu; Daniel Dopico (CoRR, 2023)

Improving the Adaptive Moment Estimation (ADAM) stochastic optimizer through an Implicit-Explicit (IMEX) time-stepping approach. - Abhinab Bhattacharjee; Andrey A. Popov; Arash Sarshar; Adrian Sandu (CoRR, 2024)

Preserving Nonlinear Constraints in Variational Flow Filtering Data Assimilation. - Amit N. Subrahmanya; Andrey A. Popov; Reid Gomillion; Adrian Sandu (CoRR, 2024)

Rosenbrock-W methods for stochastic Galerkin systems. - Roland Pulch; Adrian Sandu (J. Comput. Appl. Math., 2024)

Ensemble variational Fokker-Planck methods for data assimilation. - Amit N. Subrahmanya; Andrey A. Popov; Adrian Sandu (J. Comput. Phys., 2025)

Multirate methods for ordinary differential equations. - Michael Günther 005; Adrian Sandu (CoRR, 2025)