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

On Adaptive Mesh Refinement for Atmospheric Pollution Models. - Emil M. Constantinescu; 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)

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)

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

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)

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

On the order of general linear methods. - Emil M. Constantinescu (Appl. Math. Lett., 2009)

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

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)

Evaluation of overlapping restricted additive schwarz preconditioning for parallel solution of very large power flow problems. - Shrirang Abhyankar; Barry Smith 002; Emil M. Constantinescu (HiPCNA-PG@SC, 2013)

Multiphysics simulations: Challenges and opportunities. - David E. Keyes; Lois C. McInnes; Carol S. Woodward; William Gropp; Eric Myra; Michael Pernice; John B. Bell; Jed Brown; Alain Clo; Jeffrey M. Connors; Emil M. Constantinescu; Donald J. Estep; et al. (Int. J. High Perform. Comput. Appl., 2013)

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

Implicit-Explicit Formulations of a Three-Dimensional Nonhydrostatic Unified Model of the Atmosphere (NUMA). - Francis X. Giraldo; James F. Kelly; Emil M. Constantinescu (SIAM J. Sci. Comput., 2013)

A Low-Memory Approach for Best-State Estimation of Hidden Markov Models with Model Error. - Mihai Anitescu; Xiaoyan Zeng; Emil M. Constantinescu (SIAM J. Numer. Anal., 2014)

Probabilistic Density Function Method for Stochastic ODEs of Power Systems with Uncertain Power Input. - Peng Wang 022; David A. Barajas-Solano; Emil M. Constantinescu; Shrirang Abhyankar; Debojyoti Ghosh; Barry F. Smith; Zhenyu Huang 001; Alexandre M. Tartakovsky (SIAM/ASA J. Uncertain. Quantification, 2015)

Efficient Implementation of Nonlinear Compact Schemes on Massively Parallel Platforms. - Debojyoti Ghosh; Emil M. Constantinescu; Jed Brown (SIAM J. Sci. Comput., 2015)

Lightweight and Accurate Silent Data Corruption Detection in Ordinary Differential Equation Solvers. - Pierre-Louis Guhur; Hong Zhang 006; Tom Peterka; Emil M. Constantinescu; Franck Cappello (Euro-Par, 2016)

Semi-implicit Time Integration of Atmospheric Flows with Characteristic-Based Flux Partitioning. - Debojyoti Ghosh; Emil M. Constantinescu (SIAM J. Sci. Comput., 2016)

Detection of Silent Data Corruption in Adaptive Numerical Integration Solvers. - Pierre-Louis Guhur; Emil M. Constantinescu; Debojyoti Ghosh; Tom Peterka; Franck Cappello (CLUSTER, 2017)

Understanding and Improving the Trust in Results of Numerical Simulations and Scientific Data Analytics. - Franck Cappello; Rinku Gupta; Sheng Di; Emil M. Constantinescu; Thomas Peterka; Stefan M. Wild (Euro-Par Workshops, 2017)

Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. - Ian T. Foster; Mark Ainsworth; Bryce Allen; Julie Bessac; Franck Cappello; Jong Youl Choi; Emil M. Constantinescu; Philip E. Davis; Sheng Di; Zichao Wendy Di; Hanqi Guo 001; Scott Klasky; et al. (Euro-Par, 2017)

Discrete Adjoint Sensitivity Analysis of Hybrid Dynamical Systems With Switching. - Hong Zhang 006; Shrirang Abhyankar; Emil M. Constantinescu; Mihai Anitescu (IEEE Trans. Circuits Syst. I Regul. Pap., 2017)

Parallel Dynamics Simulation Using a Krylov-Schwarz Linear Solution Scheme. - Shrirang Abhyankar; Emil M. Constantinescu; Barry F. Smith; Alexander J. Flueck; Daniel A. Maldonado (IEEE Trans. Smart Grid, 2017)

Performance Evaluation for a PETSc Parallel-in-Time Solver Based on the MGRIT Algorithm. - Valeria Mele; Diego Romano; Emil M. Constantinescu; Luisa Carracciuolo; Luisa D'Amore (Euro-Par Workshops, 2018)

A PETSc parallel-in-time solver based on MGRIT algorithm. - Valeria Mele; Emil M. Constantinescu; Luisa Carracciuolo; Luisa D'Amore (Concurr. Comput. Pract. Exp., 2018)

An Optimal Experimental Design Framework for Adaptive Inflation and Covariance Localization for Ensemble Filters. - Ahmed Attia; Emil M. Constantinescu (CoRR, 2018)

Validation of a PETSc based software implementing a 4DVAR Data Assimilation algorithm: a case study related with an Oceanic Model based on Shallow Water equation. - Luisa Carracciuolo; Emil M. Constantinescu; Luisa D'Amore (CoRR, 2018)

Generalizing global error estimation for ordinary differential equations by using coupled time-stepping methods. - Emil M. Constantinescu (J. Comput. Appl. Math., 2018)

Acceleration of the IMplicit-EXplicit nonhydrostatic unified model of the atmosphere on manycore processors. - Daniel S. Abdi; Francis X. Giraldo; Emil M. Constantinescu; Lester E. Carr; Lucas C. Wilcox; Timothy C. Warburton (Int. J. High Perform. Comput. Appl., 2019)

Global Sensitivity Analysis for Statistical Model Parameters. - Joseph L. Hart; Julie Bessac; Emil M. Constantinescu (SIAM/ASA J. Uncertain. Quantification, 2019)

Extreme-Scale Stochastic Particle Tracing for Uncertain Unsteady Flow Visualization and Analysis. - Hanqi Guo 001; Wenbin He; Sangmin Seo; Han-Wei Shen; Emil M. Constantinescu; Chunhui Liu; Tom Peterka (IEEE Trans. Vis. Comput. Graph., 2019)

A Machine-Learning-Based Importance Sampling Method to Compute Rare Event Probabilities. - Vishwas Rao; Romit Maulik; Emil M. Constantinescu; Mihai Anitescu (ICCS (6), 2020)

Probabilistic analysis of masked loads with aggregated photovoltaic production. - Shaohui Liu; Daniel Adrian Maldonado; Emil M. Constantinescu (CoRR, 2020)

A scalable matrix-free spectral element approach for unsteady PDE constrained optimization using PETSc/TAO. - Oana Marin; Emil M. Constantinescu; Barry Smith 002 (J. Comput. Sci., 2020)

Stability Analysis of Interface Conditions for Ocean-Atmosphere Coupling. - Hong Zhang 006; Zhengyu Liu; Emil M. Constantinescu; Robert L. Jacob (J. Sci. Comput., 2020)

Statistical Treatment of Inverse Problems Constrained by Differential Equations-Based Models with Stochastic Terms. - Emil M. Constantinescu; Noémi Petra; Julie Bessac; Cosmin G. Petra (SIAM/ASA J. Uncertain. Quantification, 2020)

Revolve-Based Adjoint Checkpointing for Multistage Time Integration. - Hong Zhang 006; Emil M. Constantinescu (ICCS (1), 2021)

Mass-Conserving Implicit-Explicit Methods for Coupled Compressible Navier-Stokes Equations. - Shinhoo Kang; Emil M. Constantinescu; Hong Zhang 006; Robert L. Jacob (CoRR, 2021)

A Novel Continuum Approximation to Power System Electromechanical Dynamics. - Sheng Lei; Daniel A. Maldonado; Emil M. Constantinescu; Junbo Zhao 001; Somayeh Yarahmadi; Lamine Mili; Mihai Anitescu (ISGT, 2022)

Implicit extensions of an explicit multirate Runge-Kutta scheme. - Emil M. Constantinescu (Appl. Math. Lett., 2022)

Multirate Partitioned Runge-Kutta Methods for Coupled Navier-Stokes Equations. - Shinhoo Kang; Alp Dener; Aidan Hamilton; Hong Zhang 006; Emil M. Constantinescu; Robert L. Jacob (CoRR, 2022)

GPU-Accelerated WENO Schemes for DNS of Compressible Turbulent Flows. - Youngdae Kim; Debojyoti Ghosh; Emil M. Constantinescu; Ramesh Balakrishnan (CoRR, 2022)

Learning Subgrid-scale Models with Neural Ordinary Differential Equations. - Shinhoo Kang; Emil M. Constantinescu (CoRR, 2022)

A Scalable Space-Time Domain Decomposition Approach for Solving Large Scale Nonlinear Regularized Inverse Ill Posed Problems in 4D Variational Data Assimilation. - Luisa D'Amore; Emil M. Constantinescu; Luisa Carracciuolo (J. Sci. Comput., 2022)

Entropy-Preserving and Entropy-Stable Relaxation IMEX and Multirate Time-Stepping Methods. - Shinhoo Kang; Emil M. Constantinescu (J. Sci. Comput., 2022)

Stability Analysis of Coupled Advection-Diffusion Models with Bulk Interface Condition. - Hong Zhang 006; Zhengyu Liu; Emil M. Constantinescu; Robert L. Jacob (J. Sci. Comput., 2022)

PETSc TSAdjoint: A Discrete Adjoint ODE Solver for First-Order and Second-Order Sensitivity Analysis. - Hong Zhang 006; Emil M. Constantinescu; Barry F. Smith (SIAM J. Sci. Comput., 2022)

Optimal Experimental Design for Inverse Problems in the Presence of Observation Correlations. - Ahmed Attia; Emil M. Constantinescu (SIAM J. Sci. Comput., 2022)

Learning Subgrid-Scale Models in Discontinuous Galerkin Methods with Neural Ordinary Differential Equations for Compressible Navier-Stokes Equations. - Shinhoo Kang; Emil M. Constantinescu (CoRR, 2023)

Centralized calibration of power system dynamic models using variational data assimilation. - Ahmed Attia; Daniel Adrian Maldonado; Emil M. Constantinescu; Mihai Anitescu (CoRR, 2023)

Optimal checkpointing for adjoint multistage time-stepping schemes. - Hong Zhang 006; Emil M. Constantinescu (J. Comput. Sci., 2023)

Characterization and Optimization of the Fitting of Quantum Correlation Functions. - Pi-Yueh Chuang; Niteya Shah; Patrick Barry; Ian Cloët; Emil M. Constantinescu; Nobuo Sato; Jianwei Qiu; Wu-chun Feng (HPEC, 2024)

Data-Driven Estimation of Failure Probabilities in Correlated Structure-Preserving Stochastic Power System Models. - Hongli Zhao; Tyler E. Maltba; Daniel Adrian Maldonado; Emil M. Constantinescu; Mihai Anitescu (CoRR, 2024)

Scalable implicit solvers with dynamic mesh adaptation for a relativistic drift-kinetic Fokker-Planck-Boltzmann model. - Johann Rudi; Max Heldman; Emil M. Constantinescu; Qi Tang 001; Xian-Zhu Tang (J. Comput. Phys., 2024)

Improving the Predictability of the Madden-Julian Oscillation at Subseasonal Scales with Gaussian Process Models. - Haoyuan Chen; Emil M. Constantinescu; Vishwas Rao; Cristiana Stan (CoRR, 2025)

Enhancing interpretability in generative modeling: statistically disentangled latent spaces guided by generative factors in scientific datasets. - Arkaprabha Ganguli; Nesar Ramachandra; Julie Bessac; Emil M. Constantinescu (Mach. Learn., 2025)