Parallel operation of cartablanca on shared and distributed memory computers ©. - N. T. Padial-Collins; W. B. VanderHeyden; Duan Z. Zhang; Edward D. Dendy; Daniel Livescu (Java Grande, 2002)

Parallel operation of CartaBlanca on shared and distributed memory computers. - N. T. Padial-Collins; W. B. VanderHeyden; Duan Z. Zhang; Edward D. Dendy; Daniel Livescu (Concurr. Comput. Pract. Exp., 2004)

Comprehensive numerical methodology for direct numerical simulations of compressible Rayleigh-Taylor instability. - Scott J. Reckinger; Daniel Livescu; Oleg V. Vasilyev 002 (J. Comput. Phys., 2016)

Remote visual analysis of large turbulence databases at multiple scales. - Jesus Pulido; Daniel Livescu; Kalin Kanov; Randal C. Burns; Curtis Canada; James P. Ahrens; Bernd Hamann (J. Parallel Distributed Comput., 2018)

Leveraging Bayesian analysis to improve accuracy of approximate models. - Balasubramanya T. Nadiga; Chiyu Jiang 001; Daniel Livescu (J. Comput. Phys., 2019)

Foresight: analysis that matters for data reduction. - Pascal Grosset; Christopher M. Biwer; Jesus Pulido; Arvind T. Mohan; Ayan Biswas; John Patchett; Terece L. Turton; David H. Rogers 001; Daniel Livescu; James P. Ahrens (SC, 2020)

A multiresolution adaptive wavelet method for nonlinear partial differential equations. - Cale Harnish; Luke Dalessandro; Karel Matous; Daniel Livescu (CoRR, 2021)

Objective discovery of dominant dynamical processes with intelligible machine learning. - Bryan E. Kaiser; Juan A. Saenz; Maike Sonnewald; Daniel Livescu (CoRR, 2021)

Physics Informed Machine Learning of SPH: Machine Learning Lagrangian Turbulence. - Michael Woodward; Yifeng Tian; Criston Hyett; Chris Fryer; Daniel Livescu; Mikhail G. Stepanov; Michael Chertkov (CoRR, 2021)

Foundations for high-order, conservative cut-cell methods: Stable discretizations on degenerate meshes. - Peter T. Brady; Daniel Livescu (J. Comput. Phys., 2021)

Data-Driven Learning for the Mori-Zwanzig Formalism: A Generalization of the Koopman Learning Framework. - Yen Ting Lin; Yifeng Tian; Daniel Livescu; Marian Anghel (SIAM J. Appl. Dyn. Syst., 2021)

Predictive Scale-Bridging Simulations through Active Learning. - 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; et al. (CoRR, 2022)

Physics-Constrained Generative Adversarial Networks for 3D Turbulence. - Dima Tretiak; Arvind T. Mohan; Daniel Livescu (CoRR, 2022)

Automated identification of dominant physical processes. - Bryan E. Kaiser; Juan A. Saenz; Maike Sonnewald; Daniel Livescu (Eng. Appl. Artif. Intell., 2022)

High-order dimensionally-split Cartesian embedded boundary method for non-dissipative schemes. - Nek Sharan; Peter T. Brady; Daniel Livescu (J. Comput. Phys., 2022)

Time Stability of Strong Boundary Conditions in Finite-Difference Schemes for Hyperbolic Systems. - Nek Sharan; Peter T. Brady; Daniel Livescu (SIAM J. Numer. Anal., 2022)

GLUE Code: A framework handling communication and interfaces between scales. - 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 (J. Open Source Softw., 2022)

An adaptive wavelet method for nonlinear partial differential equations with applications to dynamic damage modeling. - Cale Harnish; Luke Dalessandro; Karel Matous; Daniel Livescu (J. Comput. Phys., 2023)

Regression-Based Projection for Learning Mori-Zwanzig Operators. - Yen Ting Lin; Yifeng Tian; Danny Perez; Daniel Livescu (SIAM J. Appl. Dyn. Syst., 2023)

Probabilistic Flux Limiters. - Nga T. T. Nguyen-Fotiadis; Robert Chiodi; Michael M. McKerns; Daniel Livescu; Andrew Sornborger (CoRR, 2024)

Physics-constrained coupled neural differential equations for one dimensional blood flow modeling. - Hunor Csala; Arvind T. Mohan; Daniel Livescu; Amirhossein Arzani (Comput. Biol. Medicine, 2025)

Skeletal Reaction Models for Gasoline Surrogate Combustion. - Yinmin Liu; Hessam Babaee; Peyman Givi; Daniel Livescu; Arash G. Nouri (CoRR, 2025)

Is memory all you need? Data-driven Mori-Zwanzig modeling of Lagrangian particle dynamics in turbulent flows. - Xander M. de Wit; Alessandro Gabbana; Michael Woodward; Yen Ting Lin; Federico Toschi; Daniel Livescu (CoRR, 2025)