Daniel Livescu

26 papers A 1Journal 24Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Trajectory-Optimized Time Reparameterization for Learning-Compatible Reduced-Order Modeling of Stiff Dynamical Systems. CoRR Joe Standridge, Daniel Livescu, Paul Cizmas
2025	J	`jnl`	Is memory all you need? Data-driven Mori-Zwanzig modeling of Lagrangian particle dynamics in turbulent flows. CoRR Xander M. de Wit, Alessandro Gabbana, Michael Woodward, Yen Ting Lin, Federico Toschi, Daniel Livescu
2025	J	`jnl`	Physics-constrained coupled neural differential equations for one dimensional blood flow modeling. Comput. Biol. Medicine Hunor Csala, Arvind T. Mohan, Daniel Livescu, Amirhossein Arzani
2025	J	`jnl`	Skeletal Reaction Models for Gasoline Surrogate Combustion. CoRR Yinmin Liu, Hessam Babaee, Peyman Givi, Daniel Livescu, Arash G. Nouri
2024	J	`jnl`	Physics-constrained coupled neural differential equations for one dimensional blood flow modeling. CoRR Hunor Csala, Arvind T. Mohan, Daniel Livescu, Amirhossein Arzani
2024	J	`jnl`	Probabilistic Flux Limiters. CoRR Nga T. T. Nguyen-Fotiadis, Robert Chiodi, Michael M. McKerns, Daniel Livescu, Andrew Sornborger
2023	J	`jnl`	An adaptive wavelet method for nonlinear partial differential equations with applications to dynamic damage modeling. J. Comput. Phys. Cale Harnish, Luke Dalessandro, Karel Matous, Daniel Livescu
2023	J	`jnl`	Regression-Based Projection for Learning Mori-Zwanzig Operators. SIAM J. Appl. Dyn. Syst. Yen Ting Lin, Yifeng Tian, Danny Perez, Daniel Livescu
2022	J	`jnl`	An adaptive wavelet method for nonlinear partial differential equations with applications to dynamic damage modeling. CoRR Cale Harnish, Luke Dalessandro, Karel Matous, Daniel Livescu
2022	J	`jnl`	Automated identification of dominant physical processes. Eng. Appl. Artif. Intell. Bryan E. Kaiser, Juan A. Saenz, Maike Sonnewald, Daniel Livescu
2022	J	`jnl`	GLUE Code: A framework handling communication and interfaces between scales. J. Open Source Softw. Aleksandra Pachalieva, Robert S. Pavel, Javier E. Santos, Abdourahmane Diaw, Nicholas Lubbers, Mohammed Mehana, Jeffrey R. Haack, Hari S. Viswanathan, Daniel Livescu, Timothy C. Germann, Christoph Junghans
2022	J	`jnl`	High-order dimensionally-split Cartesian embedded boundary method for non-dissipative schemes. J. Comput. Phys. Nek Sharan, Peter T. Brady, Daniel Livescu
2022	J	`jnl`	Physics-Constrained Generative Adversarial Networks for 3D Turbulence. CoRR Dima Tretiak, Arvind T. Mohan, Daniel Livescu
2022	J	`jnl`	Predictive Scale-Bridging Simulations through Active Learning. CoRR Satish Karra, Mohammed Mehana, Nicholas Lubbers, Yu Chen, Abdourahmane Diaw, Javier E. Santos, Aleksandra Pachalieva, Robert S. Pavel, Jeffrey R. Haack, Michael M. McKerns, Christoph Junghans, Qinjun Kang, Daniel Livescu, Timothy C. Germann, Hari S. Viswanathan
2022	J	`jnl`	Time Stability of Strong Boundary Conditions in Finite-Difference Schemes for Hyperbolic Systems. SIAM J. Numer. Anal. Nek Sharan, Peter T. Brady, Daniel Livescu
2021	J	`jnl`	A multiresolution adaptive wavelet method for nonlinear partial differential equations. CoRR Cale Harnish, Luke Dalessandro, Karel Matous, Daniel Livescu
2021	J	`jnl`	Data-Driven Learning for the Mori-Zwanzig Formalism: A Generalization of the Koopman Learning Framework. SIAM J. Appl. Dyn. Syst. Yen Ting Lin, Yifeng Tian, Daniel Livescu, Marian Anghel
2021	J	`jnl`	Foundations for high-order, conservative cut-cell methods: Stable discretizations on degenerate meshes. J. Comput. Phys. Peter T. Brady, Daniel Livescu
2021	J	`jnl`	Objective discovery of dominant dynamical processes with intelligible machine learning. CoRR Bryan E. Kaiser, Juan A. Saenz, Maike Sonnewald, Daniel Livescu
2021	J	`jnl`	Physics Informed Machine Learning of SPH: Machine Learning Lagrangian Turbulence. CoRR Michael Woodward, Yifeng Tian, Criston Hyett, Chris Fryer, Daniel Livescu, Mikhail G. Stepanov, Michael Chertkov
2020	A	`conf`	Foresight: analysis that matters for data reduction. SC Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Arvind T. Mohan, Ayan Biswas, John Patchett, Terece L. Turton, David H. Rogers, Daniel Livescu, James P. Ahrens
2019	J	`jnl`	Leveraging Bayesian analysis to improve accuracy of approximate models. J. Comput. Phys. Balasubramanya T. Nadiga, Chiyu Jiang, Daniel Livescu
2018	J	`jnl`	Remote visual analysis of large turbulence databases at multiple scales. J. Parallel Distributed Comput. Jesus Pulido, Daniel Livescu, Kalin Kanov, Randal C. Burns, Curtis Canada, James P. Ahrens, Bernd Hamann
2016	J	`jnl`	Comprehensive numerical methodology for direct numerical simulations of compressible Rayleigh-Taylor instability. J. Comput. Phys. Scott J. Reckinger, Daniel Livescu, Oleg V. Vasilyev
2004	J	`jnl`	Parallel operation of CartaBlanca on shared and distributed memory computers. Concurr. Comput. Pract. Exp. N. T. Padial-Collins, W. B. VanderHeyden, Duan Z. Zhang, Edward D. Dendy, Daniel Livescu
2002	—	`conf`	Parallel operation of cartablanca on shared and distributed memory computers ©. Java Grande N. T. Padial-Collins, W. B. VanderHeyden, Duan Z. Zhang, Edward D. Dendy, Daniel Livescu