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Thomas D. Economon

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2020 – today

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2020
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Filipe de Avila Belbute-Peres, Thomas D. Economon, J. Zico Kolter:
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction. ICML 2020: 2402-2411
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  - journals/corr/abs-2007-04439
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Filipe de Avila Belbute-Peres, Thomas D. Economon, J. Zico Kolter:
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction. CoRR abs/2007.04439 (2020)

2010 – 2019

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2019
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  - journals/aes/ThomasCBEADT19
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David Thomas, Marco Lucio Cerquaglia, Romain Boman, Thomas D. Economon, Juan J. Alonso, Grigorios Dimitriadis, Vincent E. Terrapon:
CUPyDO - An integrated Python environment for coupled fluid-structure simulations. Adv. Eng. Softw. 128: 69-85 (2019)
2018
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  - journals/jcphy/RubinoPCANEA18
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Antonio Rubino, Matteo Pini, Piero Colonna, Tim Albring, S. Nimmagadda, Thomas D. Economon, J. Alonso:
Adjoint-based fluid dynamic design optimization in quasi-periodic unsteady flow problems using a harmonic balance method. J. Comput. Phys. 372: 220-235 (2018)

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