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Daniel Livescu
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2020 – today
- 2024
- [i7]Nga T. T. Nguyen-Fotiadis, Robert Chiodi, Michael M. McKerns, Daniel Livescu, Andrew Sornborger:
Probabilistic Flux Limiters. CoRR abs/2405.08185 (2024) - 2023
- [j12]Cale Harnish, Luke Dalessandro, Karel Matous
, Daniel Livescu
An adaptive wavelet method for nonlinear partial differential equations with applications to dynamic damage modeling. J. Comput. Phys. 479: 112002 (2023) - [j11]Yen Ting Lin
Regression-Based Projection for Learning Mori-Zwanzig Operators. SIAM J. Appl. Dyn. Syst. 22(4): 2890-2926 (2023) - 2022
- [j10]Bryan E. Kaiser
Automated identification of dominant physical processes. Eng. Appl. Artif. Intell. 116: 105496 (2022) - [j9]Nek Sharan
High-order dimensionally-split Cartesian embedded boundary method for non-dissipative schemes. J. Comput. Phys. 464: 111341 (2022) - [j8]Aleksandra Pachalieva
GLUE Code: A framework handling communication and interfaces between scales. J. Open Source Softw. 7(80): 4822 (2022) - [j7]Nek Sharan
Time Stability of Strong Boundary Conditions in Finite-Difference Schemes for Hyperbolic Systems. SIAM J. Numer. Anal. 60(3): 1331-1362 (2022) - [i6]Satish Karra, Mohammed Mehana, Nicholas Lubbers, Yu Chen, Abdourahmane Diaw, Javier E. Santos, Aleksandra Pachalieva
Predictive Scale-Bridging Simulations through Active Learning. CoRR abs/2209.09811 (2022) - [i5]Cale Harnish, Luke Dalessandro, Karel Matous
An adaptive wavelet method for nonlinear partial differential equations with applications to dynamic damage modeling. CoRR abs/2209.12380 (2022) - [i4]Dima Tretiak, Arvind T. Mohan, Daniel Livescu:
Physics-Constrained Generative Adversarial Networks for 3D Turbulence. CoRR abs/2212.00217 (2022) - 2021
- [j6]Peter T. Brady
Foundations for high-order, conservative cut-cell methods: Stable discretizations on degenerate meshes. J. Comput. Phys. 426: 109794 (2021) - [j5]Yen Ting Lin
Data-Driven Learning for the Mori-Zwanzig Formalism: A Generalization of the Koopman Learning Framework. SIAM J. Appl. Dyn. Syst. 20(4): 2558-2601 (2021) - [i3]Cale Harnish, Luke Dalessandro, Karel Matous, Daniel Livescu:
A multiresolution adaptive wavelet method for nonlinear partial differential equations. CoRR abs/2106.07628 (2021) - [i2]Bryan E. Kaiser, Juan A. Saenz, Maike Sonnewald, Daniel Livescu:
Objective discovery of dominant dynamical processes with intelligible machine learning. CoRR abs/2106.12963 (2021) - [i1]Michael Woodward, Yifeng Tian, Criston Hyett, Chris Fryer, Daniel Livescu, Mikhail G. Stepanov, Michael Chertkov:
Physics Informed Machine Learning of SPH: Machine Learning Lagrangian Turbulence. CoRR abs/2110.13311 (2021) - 2020
- [c2]Pascal Grosset
Foresight: analysis that matters for data reduction. SC 2020: 83
2010 – 2019
- 2019
- [j4]Balasubramanya T. Nadiga
Leveraging Bayesian analysis to improve accuracy of approximate models. J. Comput. Phys. 394: 280-297 (2019) - 2018
- [j3]Jesus Pulido, Daniel Livescu
Remote visual analysis of large turbulence databases at multiple scales. J. Parallel Distributed Comput. 120: 115-126 (2018) - 2016
- [j2]Scott J. Reckinger
Comprehensive numerical methodology for direct numerical simulations of compressible Rayleigh-Taylor instability. J. Comput. Phys. 313: 181-208 (2016)
2000 – 2009
- 2004
- [j1]N. T. Padial-Collins, W. B. VanderHeyden, Duan Z. Zhang, Edward D. Dendy, Daniel Livescu
Parallel operation of CartaBlanca on shared and distributed memory computers. Concurr. Comput. Pract. Exp. 16(1): 61-77 (2004) - 2002
- [c1]N. T. Padial-Collins, W. B. VanderHeyden, Duan Z. Zhang, Edward D. Dendy, Daniel Livescu:
Parallel operation of cartablanca on shared and distributed memory computers ©. Java Grande 2002: 235
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