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Dingcheng Luo
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2020 – today
- 2024
- [j2]Dingcheng Luo, Peng Chen, Thomas O'Leary-Roseberry, Umberto Villa, Omar Ghattas:
SOUPy: Stochastic PDE-constrained optimization under high-dimensional uncertainty in Python. J. Open Source Softw. 9(99): 6101 (2024) - [i4]Dingcheng Luo, Joshua Chen, Peng Chen, Omar Ghattas:
Gaussian mixture Taylor approximations of risk measures constrained by PDEs with Gaussian random field inputs. CoRR abs/2408.06615 (2024) - [i3]Joseph Kirchhoff, Dingcheng Luo, Thomas O'Leary-Roseberry, Omar Ghattas:
Inference of Heterogeneous Material Properties via Infinite-Dimensional Integrated DIC. CoRR abs/2408.10217 (2024) - 2023
- [j1]Dingcheng Luo
, Lianghao Cao, Peng Chen, Omar Ghattas, J. Tinsley Oden:
Optimal design of chemoepitaxial guideposts for the directed self-assembly of block copolymer systems using an inexact Newton algorithm. J. Comput. Phys. 485: 112101 (2023) - [i2]Dingcheng Luo, Thomas O'Leary-Roseberry, Peng Chen, Omar Ghattas:
Efficient PDE-Constrained optimization under high-dimensional uncertainty using derivative-informed neural operators. CoRR abs/2305.20053 (2023) - 2022
- [i1]Dingcheng Luo, Lianghao Cao, Peng Chen, Omar Ghattas, J. Tinsley Oden:
Optimal design of chemoepitaxial guideposts for directed self-assembly of block copolymer systems using an inexact-Newton algorithm. CoRR abs/2208.01193 (2022)
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