Publications

74 journal articles 36 conference / workshop papers 17 technical reports

Journal articles

2026

Arkaprabha Ganguli and Emil M Constantinescu. Disentangled deep priors for Bayesian inverse problems. Submitted, 2026.
arXiv PDF
2026

Junoh Jung, David Lenz, Emil M Constantinescu, and Tom Peterka. A physics-informed B-spline framework for continuous approximation of flow data. Submitted, 2026.
arXiv PDF
2026

Tong Su, Junbo Zhao, Emil M Constantinescu, and Cosmin G. Petra. Multi-fidelity dynamic line rating fusion for system load margin enhancement with large-scale offshore wind generations. IEEE Transactions on Power Systems, Pages 1-14, 2026.
DOI
2026

Arkaprabha Ganguli, Anirban Samaddar, Florian Kéruzoré, Nesar Ramachandra, Julie Bessac, Sandeep Madireddy, and Emil M Constantinescu. Uncovering physical drivers of dark matter halo structures with auxiliary-variable-guided generative models. Submitted, 2026.
arXiv PDF
2026

Patrick Barry, Pi-Yueh Chuang, Ian Cloët, Emil M Constantinescu, Arkaprabha Ganguli, and Chao Peng. Event-level QCD inference framework for quark-gluon imaging. Submitted, 2026.
arXiv PDF
2026

Arkaprabha Ganguli and Emil M Constantinescu. A function-space dichotomy for compositional learning: Exponential sub-optimality of the neural tangent kernel. Submitted, 2026.
arXiv PDF
2025

Shinhoo Kang and Emil M Constantinescu. Differentiable DG with neural operator source term correction. Submitted, 2025.
arXiv
2025

Pi-Yueh Chuang, Ahmed Attia, and Emil M Constantinescu. Distributional sensitivity analysis: Enabling differentiability in sample-based inference. Submitted, 2025.
arXiv
2025

Haoyuan Chen, Emil M Constantinescu, Vishwas Rao, and Cristiana Stan. Improving the predictability of the Madden-Julian oscillation at subseasonal scales with Gaussian process models. JAMES - Machine learning application to Earth system modeling, Vol. 17(5); Pages e2023MS004188, 2025.
DOI arXiv
2025

Arkaprabha Ganguli, Nesar Ramachandra, Julie Bessac, and Emil M Constantinescu. Enhancing interpretability in generative modeling: Statistically disentangled latent spaces guided by generative factors in scientific datasets. Springer Machine Learning, Vol. 114(9); Pages 197, 2025.
DOI arXiv
2024

Johann Rud*, Max Heldman, Emil M. Constantinescu, Qi Tang, and Xian-Zhu Tang. Scalable implicit solvers with dynamic mesh adaptation for a relativistic drift-kinetic Fokker-Planck-Boltzmann model. Journal of Computational Physics, Vol. 507; Pages 112954, 2024.
DOI arXiv PDF
2024

Hongli Zhao, Tyler E. Maltba, D. Adrian Maldonado, Emil M Constantinescu, and Mihai Anitescu. Data-driven estimation of failure probabilities in correlated structure-preserving stochastic power system models. 2024.
arXiv
2023

Shinhoo Kang, Alp Dener, Aidan Hamilton, Hong Zhang, Emil M Constantinescu, and Robert Jacob. Multirate partitioned Runge-Kutta methods for coupled Navier-Stokes equations. Computers & Fluids, Vol. 264(15); Pages 105964, 2023.
DOI arXiv PDF
2023

Shinhoo Kang and Emil M Constantinescu. Learning subgrid-scale models with neural ordinary differential equations. Computers and Fluids, In Press, Vol. 261; Pages 105919, 2023.
DOI arXiv
2023

Daniel Adrian Maldonado, Emil M Constantinescu, Junbo Zhao, and Mihai Anitescu. Computationally efficient power system maximum transient linear growth estimation. Submitted, 2023.
arXiv PDF
2023

Ahmed Attia, D. Adrian Maldonado, Emil M Constantinescu, and Mihai Anitescu. Centralized calibration of power system dynamic models using variational data assimilation. 2023.
arXiv PDF
2022

Hong Zhang, Emil M Constantinescu, and Barry F. Smith. PETSc TSAdjoint: A discrete adjoint ODE solver for first-order and second-order sensitivity analysis. SIAM Journal of Scientific Computing, Vol. 44; Pages C1-C24, 2022.
DOI arXiv PDF
2022

Ahmed Attia and Emil M Constantinescu. Optimal experimental design for inverse problems in the presence of observation correlations. SIAM Journal on Scientific Computing (SISC), Vol. 44(4); Pages A2808-A2842, 2022.
DOI arXiv PDF
2022

Youngdae Kim, Debojyoti Ghosh, Emil M Constantinescu, and Ramesh Balakrishnan. GPU-accelerated WENO schemes for the DNS of compressible turbulent flows. Computers & Fluids, Vol. 251; Pages 105744, 2022.
DOI arXiv
2022

Shinhoo Kang and Emil M Constantinescu. Entropy-preserving and entropy-stable relaxation IMEX and multirate time-stepping methods. Journal of Scientific Computing, Vol. 93(23), 2022.
DOI arXiv
2022

Romit Maulik Vishwas Rao, Jiali Wang, Gianmarco Mengaldo, Emil M Constantinescu, Bethany Lusch, Prasanna Balaprakash, Ian Foster, Rao Kotamarthi. AIEADA 1.0: Efficient high-dimensional variational data assimilation with machine-learned reduced-order models,. GMDD, 2022.
DOI arXiv PDF
2022

Luisa D'amore, Emil M Constantinescu, and Luisa Carracciuolo. A scalable space-time domain decomposition approach for solving large scale non linear regularized inverse ill posed problems in 4D variational data assimilation,. Springer Journal of Scientific Computing, 2022.
DOI
2022

Hong Zhang, Zhengyu Liu, Emil M Constantinescu, and Robert Jacob. Stability analysis of coupled advection-diffusion models with bulk interface condition. Journal of Scientific Computing, Vol. 93(33), 2022.
DOI
2022

Hong Zhang and Emil M Constantinescu. Optimal checkpointing for adjoint multistage time-stepping schemes. Journal of Computational Science, Vol. 366, 2022.
DOI arXiv
2022

Alina Kononov, Cheng-Wei Lee, Tatiane Pereira dos Santos, Brian Robinson, Yifan Yao, Yi Yao, Xavier Andrade, Andrew David Baczewski, Emil M Constantinescu, Alfredo Correa, Yosuke Kanai, Norman Modine, and Andre Schleife. Electron dynamics in extended systems within real-time time-dependent density functional theory,. MRS Communications, Pages 1-13, 2022.
DOI arXiv PDF
2022

Adrian Maldonado, Emil M Constantinescu, Hong Zhang, Vishwas Rao, and Mihai Anitescu. Trust-region approximation of extreme trajectories in power system dynamics. IEEE Transactions on Power Systems, Vol. 37(5); Pages 3937-3946, 2022.
DOI arXiv
2021

Shinhoo Kang, Emil M Constantinescu, Hong Zhang, and Robert Jacob. Mass-conserving implicit-explicit methods for coupled compressible Navier-Stokes equations. Computer Methods in Applied Mechanics and Engineering (CMAME), Vol. 384; Pages 113988, 2021.
DOI arXiv
2021

Emil M Constantinescu. Implicit extensions of an explicit multirate Runge–Kutta scheme. Applied Mathematics Letters, Vol. 128; Pages 107871, 2021.
DOI arXiv
2020

Hong Zhang, Zhengyu Liu, Emil M Constantinescu, and Robert Jacob. Stability analysis of interface conditions for ocean-atmosphere coupling. Springer Journal of Scientific Computing, Vol. 84(44), 2020.
DOI arXiv PDF
2020

Shaohui Liu, Adrian Maldonado, and Emil M Constantinescu. Probabilistic analysis of masked loads with aggregated photovoltaic production. Electric Power Systems Research, Vol. 189; Pages 106670, 2020.
DOI arXiv
2020

Oana Marin, Emil M Constantinescu, and Barry Smith. A scalable matrix-free spectral element approach for unsteady PDE constrained optimization using PETSc/TAO. Vol. 47; Pages 101207, 2020.
DOI arXiv
2020

Emil M Constantinescu, Noemi Petra, Julie Bessac, and Cosmin G. Petra. Statistical treatment of inverse problems constrained by differential equations-based models with stochastic terms. SIAM Journal on Uncertainty Quantification, Vol. 8(1); Pages 170-197, 2020.
DOI arXiv
2019

Daniel S. Abdi, Francis X. Giraldo, Emil M. Constantinescu, Lester E. Carr III, Lucas C. Wilcox, and Timothy Warburton. Acceleration of an implicit-explicit non-hydrostatic unified model of the atmospheric (NUMA) on manycore processors. International Journal of High Performance Computing Applications, Vol. 33(2); Pages 242-267, 2019.
DOI arXiv PDF
2019

Joseph Hart, Julie Bessac, and Emil M Constantinescu. Global sensitivity analysis for statistical model parameters. SIAM/ASA Journal on Uncertainty Quantification, Vol. 7(1); Pages 67–92, 2019.
DOI arXiv PDF
2019

Hanqi Guo, Wenbin He, Sangmin Seo, Han-Wei Shen, Emil M Constantinescu, Chunhui Liu, and Tom Peterka. Extreme-scale stochastic particle tracing for uncertain unsteady flow visualization and analysis. IEEE Transactions on Visualization and Computer Graphics, Vol. 25(9); Pages 2710-2724, 2019.
DOI
2018

Valeria Mele, Emil M Constantinescu, Luisa Carracciuolo, and Luisa D'Amore. A PETSc parallel-in-time solver based on MGRIT algorithm. {"Concurrency and Computation"=>"Practice and Experience"}, Vol. 30(24); Pages e4928, 2018.
DOI
2018

Simone Marras, Michal A. Kopera, Emil M Constantinescu, Jenny Suckale, and Francis X. Giraldo. A residual-based shock capturing scheme for the continuous/discontinuous spectral element solution of the 2D shallow water equations. Advances in Water Resources, Vol. 114; Pages 45-63, 2018.
DOI arXiv
2018

Shrirang Abhyankar, Jed Brown, Emil M Constantinescu, Debojyoti Ghosh, Barry F. Smith and Hong Zhang. PETSc/TS: A modern scalable ODE/DAE solver library. 2018.
arXiv
2018

Julie Bessac, Emil M Constantinescu, and Mihai Anitescu. Stochastic simulation of predictive space-time scenarios of wind speed using observations and physical models. Annals of Applied Statistics, Vol. 12(1); Pages 432-458, 2018.
DOI arXiv
2018

Jiali Wang, Julie Bessac, Rao Kotamarthi, Emil M Constantinescu, and Beth Drewniak. Internal variability, regional climate model, spectral nudging, high spatial resolution, climate change. Climate Dynamics, Vol. 50; Pages 4539-4559, 2018.
DOI
2018

Emil M Constantinescu. Generalizing global error estimation for ordinary differential equations by using coupled time-stepping methods. Journal of Computational and Applied Mathematics, Vol. 332(C); Pages 140-158, 2018.
DOI arXiv
2017

Shrirang Abhyankar, Emil M Constantinescu, Barry Smith, Alexander J. Flueck, and Daniel A. Maldonado. Parallel dynamics simulation using a Krylov-Schwarz linear solution scheme. IEEE Transactions on Smart Grid Special Issue on High Performance Computing (HPC) Applications for a More Resilient and Efficient Power Grid, Vol. 8(3); Pages 1378-1386, 2017.
DOI
2017

Noemi Petra, Cosmin G. Petra, Zheng Zhang, Emil M Constantinescu, and Mihai Anitescu. A Bayesian approach for parameter estimation with uncertainty for dynamic power systems. IEEE Transactions on Power Systems, Vol. 32(4); Pages 2735-2743, 2017.
DOI arXiv
2017

Hong Zhang, Shrirang S. Abhyankar, Emil M Constantinescu, and Mihai Anitescu. Discrete adjoint sensitivity analysis of power system dynamics. {"IEEE Transactions on Circuits and Systems--I"=>"Regular Papers"}, Vol. 64(5); Pages 1247-1259, 2017.
DOI
2016

Debojyoti Ghosh and Emil M Constantinescu. A well-balanced conservative finite-difference algorithm for atmospheric flows. AAIA Journal, Vol. 54(4); Pages 1370-1385, 2016.
DOI PDF
2016

Nan Li, Canan Uckun, Emil M Constantinescu, John Birge, Kory W. Hedman, and Audun Botterud. Flexible operation of batteries in power system scheduling with renewable energy. IEEE Transactions on Sustainable Energy, Vol. 7(2); Pages 685-696, 2016.
DOI
2016

Debojyoti Ghosh and Emil M Constantinescu. Semi-implicit time integration of atmospheric flows with characteristic-based flux partitioning. SIAM Journal on Scientific Computing (SISC), Vol. 38(3); Pages A1848-A1875, 2016.
DOI arXiv PDF
2015

Peng Wang, David Barajas-Solano, Emil M Constantinescu, Shrirang S. Abhyankar, Debojyoti Ghosh, Barry Smith, Zhenyu Huang, and Alexandre Tartakovsky. Probabilistic density function method for stochastic ODEs of power systems with uncertain power input. SIAM/ASA Journal on Uncertainty Quantification (JUQ), Vol. 3(1); Pages 873-896, 2015.
DOI
2015

Ilias Bilionis, Beth A. Drewniak, and Emil M Constantinescu. Crop physiology calibration in the CLM. Geoscientific Model Development, Vol. 8(4); Pages 1071-1083, 2015.
DOI PDF
2015

Debojyoti Ghosh, Emil M Constantinescu, and Jed Brown. Efficient implementation of non-linear compact schemes on massively-parallel platforms. SIAM Journal on Scientific Computing (SISC), Vol. 37(3); Pages C354-C383, 2015.
DOI
2014

Ilias Bilionis, Emil M Constantinescu, and Mihai Anitescu. Data-driven model for solar irradiation based on satellite observations. Solar Energy, Vol. 110; Pages 22-38, 2014.
DOI
2014

Mihai Anitescu, Xiaoyan Zeng, and Emil M Constantinescu. A low-memory approach for best-state estimation of hidden Markov models with model error. SIAM Journal on Numerical Analysis (SINUM), Vol. 52(1); Pages 468-495, 2014.
DOI
2013

Xiaoyan Zeng, Beth A. Drewniak, and Emil M Constantinescu. Calibration of the crop model in the Community Land Model. Geoscientific Model Development, Vol. 6(1); Pages 379-398, 2013.
DOI
2013

Juan M. Salazar, Urmila Diwekar, Emil M Constantinescu, and Victor Zavala. Stochastic optimization approach to water management in cooling-constrained power plants. Applied Energy, Vol. 112; Pages 12-22, 2013.
DOI
2013

Francis X Giraldo, James F. Kelly, and Emil M Constantinescu. Implicit-explicit formulations of a three-dimensional nonhydrostatic unified model of the atmosphere (NUMA). SIAM Journal on Scientific Computing (SISC), Vol. 35(5); Pages B1162-B1194, 2013.
DOI
2013

Emil M Constantinescu and Mihai Anitescu. Physics-based covariance models for Gaussian processes with multiple outputs. International Journal for Uncertainty Quantification, Vol. 3(1); Pages 47-71, 2013.
DOI
2013

Emil M Constantinescu and Adrian Sandu. Extrapolated multirate methods for differential equations with multiple time scales. Journal of Scientific Computing, Vol. 56(1); Pages 28-44, 2013.
DOI
2013

David E. Keyes, Lois Curfman McInnes, Carol Woodward, William Gropp, Eric Myra, Michael Pernice, John Bell, Jed Brown, Alain Clo, Jeffrey Connors, Emil M Constantinescu, Don Estep, Kate Evans, Charbel Farhat, Ammar Hakim, Glenn Hammond, Glen Hansen, Judith Hill, Tobin Isaac, Xiaomin Jiao, Kirk Jordan, Dinesh Kaushik, Efthimios Kaxiras, Alice Koniges, Kihwan Lee, Aaron Lott, Qiming Lu, John Magerlein, Reed Maxwell, Michael McCourt, Miriam Mehl, Roger Pawlowski, Amanda Peters Randles, Daniel Reynolds, Beatrice Rivière, Ulrich Rüde, Tim Scheibe, John Shadid, Brendan Sheehan, Mark Shephard, Andrew Siegel, Barry Smith, Xianzhu Tang, Cian Wilson, and Barbara Wohlmuth. Multiphysics simulations: Challenges and opportunities. International Journal of High Performance Computing Applications, Vol. 27(1); Pages 4-83, 2013.
DOI
2012

Ricardo J. Bessa, Vladimiro Miranda, Audun Botterud, Jianhui Wang, and Emil M Constantinescu. Time adaptive conditional kernel density estimation for wind power forecasting. IEEE Transactions on Sustainable Energy (Special Wind Energy issue), Vol. 3(4); Pages 660-669, 2012.
DOI
2011

Emil M Constantinescu,Victor Zavala, Matthew Rocklin, Sangmin Lee, and Mihai Anitescu. A computational framework for uncertainty quantification and stochastic optimization in unit commitment with wind power generation. IEEE Transactions on Power Systems, Vol. 26(1); Pages 431-441, 2011.
DOI
2011

Adrian Sandu, Emil M Constantinescu, Gregory R. Carmichael, Tianfeng Chai, Dacian Daescu and John Seinfeld. Ensemble methods for dynamic data assimilation of chemical observations in atmospheric models. Journal of Algorithms & Computational Technology, Vol. 5(4); Pages 667-692, 2011.
2010

Emil M Constantinescu and Adrian Sandu. Optimal strong-stability-preserving general linear methods. SIAM Journal on Scientific Computing (SISC), Vol. 32(5); Pages 3130-3150, 2010.
DOI
2010

Emil M Constantinescu and Adrian Sandu. Extrapolated implicit-explicit time stepping. SIAM Journal on Scientific Computing (SISC), Vol. 31(6); Pages 4452-4477, 2010.
DOI
2009

Emil M Constantinescu. On the order of general linear methods. Applied Mathematics Letters, Vol. 22(9); Pages 1425-1428, 2009.
DOI
2009

Victor Zavala, Emil M Constantinescu, Theodore Krause, and Mihai Anitescu. On-line economic optimization of energy systems using weather forecast information. Journal of Process Control, Vol. 19(10); Pages 1725-1736, 2009.
DOI
2009

Adrian Sandu and Emil M Constantinescu. Multirate explicit Adams methods for time integration of conservation laws. Journal of Scientific Computing, Vol. 38(2); Pages 229-249, 2009.
DOI PDF
2008

Lin Zhang, Emil M Constantinescu, Adrian Sandu, Youhua Tang, Tianfeng Chai, Gregory R. Carmichael, Daewon Byun, and Eduardo Olaguer. An adjoint sensitivity analysis and 4D-Var data assimilation study of Texas air quality,. Atmospheric Environment (special ACM issue), Vol. 42(23); Pages 5787 - 5804, 2008.
DOI
2008

Emil M Constantinescu, Adrian Sandu, and Gregory R. Carmichael. Modeling atmospheric chemistry and transport with dynamic adaptive resolution. Computational Geosciences, Vol. 12(2); Pages 133-151, 2008.
DOI
2007

Gregory R. Carmichael, Adrian Sandu, Tianfeng Chai, Dacian N. Daescu, Emil M Constantinescu, and Youhua Tang. Predicting air quality: Improvements through advanced methods to integrate models and measurements. Journal of Computational Physics Review, Vol. 227(7); Pages 3540-3571, 2007.
DOI
2007

Emil M Constantinescu, Tianfeng Chai, Adrian Sandu, and Gregory R. Carmichael. Autoregressive models of background errors for chemical data assimilation. Journal of Geophysical Research, Vol. 112; Pages D12309, 2007.
DOI
2007

Emil M Constantinescu, Adrian Sandu, Tianfeng Chai, and Gregory R. Carmichael. Ensemble-based chemical data assimilation II: Covariance localization. Quarterly Journal of the Royal Meteorological Society, Vol. 133(626); Pages 1245-1256, 2007.
DOI
2007

Emil M Constantinescu, Adrian Sandu, Tianfeng Chai, and Gregory R. Carmichael. Ensemble-based chemical data assimilation I: General approach. Quarterly Journal of the Royal Meteorological Society, Vol. 133(626); Pages 1229-1243, 2007.
DOI
2007

Emil M Constantinescu, Adrian Sandu, Tianfeng Chai, and Gregory R. Carmichael. Assessment of ensemble-based chemical data assimilation in an idealized setting. Atmospheric Environment, Vol. 41(1); Pages 18-36, 2007.
DOI
2007

Emil M Constantinescu and Adrian Sandu. Multirate timestepping methods for hyperbolic conservation laws. Journal of Scientific Computing, Vol. 33(3); Pages 239-278, 2007.
DOI PDF

Conference / workshops / presentations

2026

Junoh Jung and Emil M Constantinescu. Learning differentiable weak-form corrections to accelerate finite element simulations. To appear, 2026.
arXiv PDF
2026

Junoh Jung, Emil M Constantinescu, Riccardo Balin, and Bethany Lusch. A hybrid physics-machine-learning framework for enhancing coarse-grid spectral element simulations for large-scale computing. AIAA AVIATION 2026 Forum, 2026.
DOI PDF
2025

Arkaprabha Ganguli, Anirban Samaddar, Florian Kéruzoré, Nesar Ramachandra, Julie Bessac, Sandeep Madireddy, and Emil M Constantinescu. Uncovering physical drivers of dark matter halo structures with auxiliary-variable-guided generative models. Machine Learning and the Physical Sciences, part of the 38th Conference on Neural Information Processing Systems (NeurIPS), 2025.
arXiv PDF
2024

Pi-Yueh Chuang, Niteya Shah, Patrick Barry, Ian Cloët, Emil M Constantinescu, Nobuo Sato, Jian-Wei Qiu, and Wu-chun Feng. Characterization and optimization of the fitting of quantum correlation functions. IEEE High-Performance Extreme Computing (HPEC), 2024.
DOI
2023

Piyush Garg, Emil M Constantinescu, Bethany Lusch, Troy Arcomano, Jiali Wang, and Rao Kotamarthi. Physics-informed domain-aware atmospheric radiative transfer emulator for all sky conditions. 2023 Tackling Climate Change with Machine Learning Workshop, part of the 37th Conference on Neural Information Processing Systems (NeurIPS), 2023.
2023

Haoyuan Chen, Emil M Constantinescu, Vishwas Rao, and Cristiana Stan. Uncertainty quantification of the Madden-Julian oscillation with Gaussian processes. 2023 Tackling Climate Change with Machine Learning Workshop, part of the 37th Conference on Neural Information Processing Systems (NeurIPS), 2023.
2022

Sungho Shin, François Pacaud, Emil M Constantinescu, and Mihai Anitescu. Constrained policy optimization for stochastic optimal control under nonstationary uncertainties. Advances in Automotive Control, Pages 634-639, 2022.
DOI arXiv
2022

Sheng Lei, Adrian Maldonado, Emil M Constantinescu, Junbo Zhao, Someya Yarahmadi, Lamine Mili, and Mihai Anitescu. A novel continuum approximation to power system electromechanical dynamics. IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Pages 1-5, 2022.
DOI
2022

Adrian Maldonado and Emil M Constantinescu. Analysis of the growth of small perturbations in power system dynamics. IEEE PSCC 2022, 2022.
2021

Hong Zhang and Emil M Constantinescu. Revolve-based adjoint checkpointing for multistage time integration. ICCS 2021 (International Conference on Computational Science 2021), Pages 451-464, 2021.
2020

Vishwas Hebbur Venkata Subba Rao, Romit Maulik, Emil M Constantinescu, and Mihai Anitescu. A machine learning method for computing rare event probabilities. ICCS 2020 (International Conference on Computational Science 2020), Vol. LNCS 12142; Pages 169–182, 2020.
DOI arXiv
2018

Valeria Mele, Diego Romano, Emil M Constantinescu, Luisa Carracciuolo, and Luisa D'Amore. Performance evaluation for a PETSc parallel-in-time solver based on the MGRIT algorithm. Euro-Par 2018; 24th International European Conference on Parallel and Distributed Computing, Turin, Italy, August 27-31, 2018, 2018.
2017

Shrirang Abhyankar, Emil M Constantinescu, and Alexander Flueck. Variable-step multi-stage integration methods for fast and accurate power system dynamics simulation. Proceedings of IREP 2017 Symposium on X Bulk Power Systems Dynamics and Control Symposium, Espinho, August 27 - September 1, 2017, 2017.
2017

Pierre-Louis Guhur, Emil M Constantinescu, Debojyoti Ghosh, Tom Peterka, and Franck Cappello. Detection of silent data corruption in adaptive numerical integration solvers. IEEE Cluster 2017, September 5-8, 2017, Hawaii, USA, Pages 592-602, 2017.
2017

Ian Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M Constantinescu, Philip E. Davis, Sheng Di, Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese Van Dam, Tahsin Kurc, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd Munson, George Ostouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo. Computing just what you need: Online data analysis and reduction at extreme scales. Euro-Par 2017; 23rd International European Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28 - September 1, 2017, 2017.
2016

Pierre-Louis Guhur, Hong Zhang, Tom Peterka, Emil M Constantinescu, and Franck Cappello. Lightweight and accurate silent data corruption detection in ordinary differential equation solvers. Euro-Par 2016; 22nd International European Conference on Parallel and Distributed Computing, Grenoble, France, August 22-26, 2016; Proceedings: Springer Euro-Par 2016 Parallel Processing, Theoretical Computer Science and General Issues, Pages 644-656, 2016.
DOI
2016

Simone Marras, Jenny Suckale, Francis X. Giraldo, and Emil M Constantinescu. An SGS-based stabilization for the high-order approximation of the shallow water equations. Springer's Lecture Notes in Computational Science and Engineering (LNCSE) Series, ICOSAHOM 2016, 2016.
2015

Debojyoti Ghosh and Emil M Constantinescu. Nonlinear compact finite-difference schemes with semi-implicit time stepping. Springer's Lecture Notes in Computational Science and Engineering (LNCSE) Series, ICOSAHOM 2014, Vol. 106; Pages 237-245, 2015.
DOI
2015

Debojyoti Ghosh and Emil M Constantinescu. Well-balanced formulation of gravitational source terms for conservative finite-difference atmospheric flow solvers. 7th AIAA Atmospheric and Space Environments Conference (Aviation Forum), June 22-26, 2015, Dallas, TX, 2015.
2013

Shrirang Abhyankar, Barry Smith, and Emil M Constantinescu. Evaluation of overlapping restricted additive Schwarz preconditioning for parallel solution of very large power flow problems. Proceedings of the 3rd International Workshop on High Performance ComputingNetworking and Analytics for the Power Grid, Pages 5:1-5:8, 2013.
DOI
2012

Barry Smith, Lois Curfman McInnes, Emil M Constantinescu, Mark Adams, Satish Balay, Jed Brown, Matthew Knepley, and Hong Zhang. PETSc's software strategy for the design space of composable extreme-scale solvers. DOE Exascale Research ConferencePortlandORApril 16-18, 2012.
2011

Ricardo J. Bessa, J. Sumaili, Vladimiro Miranda, Audun Botterud, Jianhui Wang, and Emil M Constantinescu. Time-adaptive kernel density forecast: A new method for wind power uncertainty modeling. 17th Power Systems Computation Conference (PSCC'11), Stockholm, Sweden, August 22-26, 2011, 2011.
2011

Alexandru Cioaca, Victor Zavala, and Emil M Constantinescu. Adjoint sensitivity analysis for numerical weather prediction: Applications to power grid optimization. Proceedings of the first international workshop on high performance computingnetworking and analytics for the power gridSeattleWANovember 13, 2011.
2010

Emil M Constantinescu and Adrian Sandu. On multirate numerical integration methods. (invited) The European Consortium for Mathematics in Industry (ECMI-2008) in Progress in Industrial Mathematics at ECMI 2008, University College London, England, June 30 - July 4, 2008, Vol. 15(2); Pages 341-347, 2010.
DOI
2010

Victor Zavala, Emil M Constantinescu, and Mihai Anitescu. Economic impacts of advanced weather forecasting in energy system operations. IEEE PES Conference on Innovative Smart Grid Technologies, 2010.
2010

Victor M. Zavala, Jianhui Wang, Sven Leyffer, Emil M Constantinescu, Mihai Anitescu, and Guenter Conzelmann. Proactive energy management for next-generation building systems. SimBuild 2010, 2010.
2010

Victor M. Zavala, Audun Botterud, Emil M Constantinescu, and Jianhui Wang. Computational and economic limitations of dispatch operations in the next-generation power grid. IEEE Conference on Innovative Technologies for an Efficient and Reliable Energy Supply, 2010.
2010

Juan M. Salazar, Urmila Diwekar, Emil M Constantinescu, and Victor M. Zavala. Real-time water management in power plants and implications in electricity markets. AIChE meetingSalt Lake CityUT, 2010.
2009

Emil M Constantinescu and Adrian Sandu. Explicit time stepping methods with high stage order and monotonicity properties. Lecture Notes in Computer Science, International Conference on Computational Science (ICCS), Baton Rouge, Louisiana, May 25-27, 2009, 2009.
2009

Adrian Sandu and Emil M Constantinescu. Multirate time discretizations for hyperbolic partial differential equations. International Conference of Numerical Analysis and Applied Mathematics 2009 (ICNAAM 2009), Crete, Greece, September 18-22, 2009, Vol. 1168(1); Pages 1411-1414, 2009.
DOI
2007

Adrian Sandu, Emil M Constantinescu, Gregory R. Carmichael, Tianfeng Chai, John H. Seinfeld, and Dacian Daescu. Localized ensemble Kalman dynamic data assimilation for atmospheric chemistry. International Conference on Computational Science (ICCS), Pages 1018-1025, 2007.
2006

Dan Negrut, Mihai Anitescu, Anter El-Azab, Steve Benson, Emil M Constantinescu, Peter Zapol, and Toby Heyn. A real-space parallel optimization model reduction approach for electronic structure computation in large nanostructures using orbital-free density functional theory. IMECE 2006-15740, ASME International Mechanical Engineering Congress and Exposition, Chicago, IL, 2006.
2005

Emil M Constantinescu, Wenyuan Liao, and Adrian Sandu. Mesh refinement strategies in air quality modeling. High Performance Computing Symposium, San Diego, CA, April 2005, Pages 158-163, 2005.
2005

Emil M Constantinescu and Adrian Sandu. On adaptive mesh refinement for atmospheric pollution models. International Conference on Computational Science (ICCS), Atlanta, GA, May 22-25, 2005, Springer-Verlag in Lecture Notes in Computer Science, Pages 798-805, 2005.
2005

Adrian Sandu, Emil M Constantinescu, Wenyuan Liao, Gregory R. Carmichael, Tianfeng Chai, John H. Seinfeld, and Dacian Daescu. Ensemble-based filter data assimilation for atmospheric chemical transport models. International Conference on Computational Science (ICCS), Atlanta, GA, May 22-25, 2005, Springer-Verlag in Lecture Notes in Computer Science, Pages 648-655, 2005.
2004

Chaitaniya Belwal, Adrian Sandu, and Emil M Constantinescu. Adaptive resolution modeling of regional air quality. ACM Symposium on Applied Computing (SAC 2004), Nicosia, Cyprus, March 14-17, 2004, Pages 235-239, 2004.

Technical reports

2025

Satish Balay, S. Abhyankar, Mark F. Adams, Jed Brown, P. Brune, K. Buschelman, Emil M Constantinescu, Lisandro Dalcin, S. Benson, A. Dener, and others. PETSc/TAO users manual revision 3.24. Argonne National Laboratory (ANL), Argonne, IL (United States), 2025.
2017

Hong Zhang, Shrirang S. Abhyankar, Emil M Constantinescu, and Mihai Anitescu. Efficient adjoint computation of hybrid systems of differential algebraic equations with applications in power systems. 2017.
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2015

Franck Cappello, Emil M Constantinescu, Paul Hovland, Tom Peterka, Carolyn Phillips, Marc Snir, Stefan Wild. Improving the trust in results of numerical simulations and scientific data analytics. 2015.
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2014

Debojyoti Ghosh, Emil M Constantinescu, and Jed Brown. Scalable nonlinear compact schemes. 2014.
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2012

D.E. Keyes, L.C. McInnes, C. Woodward, W.D. Gropp, E. Myra, M. Pernice, J. Bell, J. Brown, A. Clo, J. Connors, E. Constantinescu, D. Estep, K. Evans, C. Farhat, A. Hakim, G. Hammond, G. Hansen, J. Hill, T. Isaac, X. Jiao, K. Jordan, D. Kaushik, E. Kaxiras, A. Koniges, K. Lee, A. Lott, Q. Lu, J. Magerlein, R. Maxwell, M. McCourt, M. Mehl, R. Pawlowski, A. Peters, D. Reynolds, B. Rivière, U. Rüde, T. Scheibe, J. Shadid, B. Sheehan, M. Shephard, A. Siegel, B. Smith, X. Tang, C. Wilson, B. Wohlmuth. Multiphysics simulations: challenges and opportunities. 2012.
2009

Victor Zavala, Emil M Constantinescu, Theodore Krause, and Mihai Anitescu. Exploiting weather forecast information in the operation of integrated energy systems. 2009.
2009

Emil M Constantinescu,Victor Zavala, Matthew Rocklin, Sangmin Lee, and Mihai Anitescu. Unit commitment with wind power generation: Integrating wind forecast uncertainty and stochastic programming. 2009.
2009

Emil M Constantinescu and Adrian Sandu. Optimal explicit strong-stability-preserving general linear methods: Complete results. 2009.
2009

Emil M Constantinescu and Adrian Sandu. Achieving very high order for implicit explicit time stepping: extrapolation methods. 2009.
2008

Emil M Constantinescu and Adrian Sandu. On extrapolated multirate methods. 2008.
2007

Emil M Constantinescu and Adrian Sandu. Update on multirate timestepping methods for hyperbolic conservation laws. 2007.
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2007

Adrian Sandu and Emil M Constantinescu. Multirate explicit Adams methods for time integration of conservation laws. 2007.
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2006

Emil M Constantinescu, Tianfeng Chai, Adrian Sandu, and Gregory R. Carmichael. Autoregressive models of background errors for chemical data assimilation. 2006.
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2006

Emil M Constantinescu, Adrian Sandu, Tianfeng Chai, and Gregory R. Carmichael. Ensemble-based chemical data assimilation III: Filter localization. 2006.
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2006

Emil M Constantinescu, Adrian Sandu, Tianfeng Chai, and Gregory R. Carmichael. Ensemble-based chemical data assimilation II: Real observations. 2006.
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2006

Emil M Constantinescu, Adrian Sandu, Tianfeng Chai, and Gregory R. Carmichael. Ensemble-based chemical data assimilation I: An idealized setting. 2006.
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2006

Emil M Constantinescu and Adrian Sandu. Multirate timestepping methods for hyperbolic conservation laws. 2006.
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