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ORCIDDaniel A. White
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- affiliation: Lawrence Livermore National Laboratory, Livermore, CA, USA
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2020 – today
- 2024
[i4]Charles F. Jekel, Dane M. Sterbentz, Thomas M. Stitt, P. Mocz, Robert N. Rieben, Daniel A. White, Jonathan L. Belof:
Machine Learning Visualization Tool for Exploring Parameterized Hydrodynamics. CoRR abs/2406.15509 (2024)- 2022
- [i3]Charles F. Jekel, Kenneth E. Swartz, Daniel A. White, Daniel A. Tortorelli, Seth E. Watts:
Neural Network Layers for Prediction of Positive Definite Elastic Stiffness Tensors. CoRR abs/2203.13938 (2022) - [i2]Charles F. Jekel, Dane M. Sterbentz, Sylvie Aubry
, Youngsoo Choi, Daniel A. White, Jonathan L. Belof:
Using Conservation Laws to Infer Deep Learning Model Accuracy of Richtmyer-Meshkov Instabilities. CoRR abs/2208.11477 (2022)
2010 – 2019
- 2019
- [c2]Ian Karlin, Yoonho Park, Bronis R. de Supinski, Peng Wang, Bert Still, David Beckingsale, Robert Blake, Tong Chen, Guojing Cong, Carlos H. A. Costa, Johann Dahm, Giacomo Domeniconi, Thomas Epperly, Aaron Fisher, Sara Kokkila Schumacher, Steven H. Langer, Hai Le, Eun Kyung Lee, Naoya Maruyama, Xinyu Que, David F. Richards, Björn Sjögreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, Xiaohua Zhang, Bob Anderson, David Appelhans, Levi Barnes, Peter D. Barnes Jr., Sorin Bastea, David Böhme, Jamie A. Bramwell, James M. Brase, José R. Brunheroto, Barry Chen, Charway R. Cooper, Tony Degroot, Robert D. Falgout, Todd Gamblin, David J. Gardner, James N. Glosli, John A. Gunnels, Max P. Katz, Tzanio V. Kolev, I-Feng W. Kuo, Matthew P. LeGendre, Ruipeng Li, Pei-Hung Lin, Shelby Lockhart, Kathleen McCandless, Claudia Misale, Jaime H. Moreno, Rob Neely, Jarom Nelson, Rao Nimmakayala, Kathryn M. O'Brien, Kevin O'Brien, Ramesh Pankajakshan, Roger Pearce, Slaven Peles, Phil Regier, Steven C. Rennich, Martin Schulz, Howard Scott, James C. Sexton, Kathleen Shoga, Shiv Sundram, Guillaume Thomas-Collignon, Brian Van Essen, Alexey Voronin, Bob Walkup, Lu Wang, Chris Ward, Hui-Fang Wen, Daniel A. White, Christopher Young, Cyril Zeller, Edward Zywicz:
Preparation and optimization of a diverse workload for a large-scale heterogeneous system. SC 2019: 32:1-32:17 - [i1]Youngsoo Choi, Geoffrey Oxberry, Daniel A. White, Trenton Kirchdoerfer:
Accelerating design optimization using reduced order models. CoRR abs/1909.11320 (2019) - 2010
- [j5]Matthew I. Barham, Daniel A. White, David J. Steigmann:
Finite element modeling of the deformation of magnetoelastic film. J. Comput. Phys. 229(18): 6193-6207 (2010)
2000 – 2009
- 2007
- [j4]Aaron Fisher, Daniel A. White, Garry H. Rodrigue:
An efficient vector finite element method for nonlinear electromagnetic modeling. J. Comput. Phys. 225(2): 1331-1346 (2007) - [j3]Robert N. Rieben, Daniel A. White, Brad K. Wallin, Jerome Solberg:
An arbitrary Lagrangian-Eulerian discretization of MHD on 3D unstructured grids. J. Comput. Phys. 226(1): 534-570 (2007) - 2005
- [j2]Paul Castillo, Robert N. Rieben, Daniel A. White:
FEMSTER: An object-oriented class library of high-order discrete differential forms. ACM Trans. Math. Softw. 31(4): 425-457 (2005) - 2004
- [c1]Pavel V. Nikitin, Vikram Jandhyala, Daniel A. White, Nathan Champagne, John D. Rockway, Chuanjin Richard Shi, Chuanyi Yang, Yong Wang, Gong Ouyang, Rob Sharpe, John W. Rockway:
Modeling and Simulation of Circuit-Electromagnetic Effects in Electronic Design Flow. ISQED 2004: 244-249 - 2001
- [j1]Garry H. Rodrigue, Daniel A. White:
A Vector Finite Element Time-Domain Method for Solving Maxwell's Equations on Unstructured Hexahedral Grids. SIAM J. Sci. Comput. 23(3): 683-706 (2001)
Coauthor Index
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