Dingcheng Luo

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Shape Derivative-Informed Neural Operators with Application to Risk-Averse Shape Optimization.
CoRR
Xindi Gong, Dingcheng Luo, Thomas O'Leary-Roseberry, Ruanui Nicholson, Omar Ghattas
2025 J jnl
A Cascaded Vernier Sensing Structure Combined With Ensemble Learning for High-Sensitivity and Large-Range Bovine Serum Albumin Detection.
IEEE Trans. Instrum. Meas.
Yong Zhao, Chaofan Li, Li-Ming Zhou, Fucheng Xiang, Dingcheng Luo, Rui-Jie Tong, Mao-Qing Chen
2025 J jnl
Derivative-Informed Fourier Neural Operator: Universal Approximation and Applications to PDE-Constrained Optimization.
CoRR
Boyuan Yao, Dingcheng Luo, Lianghao Cao, Nikola B. Kovachki, Thomas O'Leary-Roseberry, Omar Ghattas
2025 J jnl
Dimension reduction for derivative-informed operator learning: An analysis of approximation errors.
CoRR
Dingcheng Luo, Thomas O'Leary-Roseberry, Peng Chen, Omar Ghattas
2025 J jnl
Efficient PDE-Constrained Optimization Under High-Dimensional Uncertainty Using Derivative-Informed Neural Operators.
SIAM J. Sci. Comput.
Dingcheng Luo, Thomas O'Leary-Roseberry, Peng Chen, Omar Ghattas
2024 J jnl
Gaussian mixture Taylor approximations of risk measures constrained by PDEs with Gaussian random field inputs.
CoRR
Dingcheng Luo, Joshua Chen, Peng Chen, Omar Ghattas
2024 J jnl
Inference of Heterogeneous Material Properties via Infinite-Dimensional Integrated DIC.
CoRR
Joseph Kirchhoff, Dingcheng Luo, Thomas O'Leary-Roseberry, Omar Ghattas
2024 J jnl
SOUPy: Stochastic PDE-constrained optimization under high-dimensional uncertainty in Python.
J. Open Source Softw.
Dingcheng Luo, Peng Chen, Thomas O'Leary-Roseberry, Umberto Villa, Omar Ghattas
2023 J jnl
Efficient PDE-Constrained optimization under high-dimensional uncertainty using derivative-informed neural operators.
CoRR
Dingcheng Luo, Thomas O'Leary-Roseberry, Peng Chen, Omar Ghattas
2023 J jnl
Optimal design of chemoepitaxial guideposts for the directed self-assembly of block copolymer systems using an inexact Newton algorithm.
J. Comput. Phys.
Dingcheng Luo, Lianghao Cao, Peng Chen, Omar Ghattas, J. Tinsley Oden
2022 J jnl
Optimal design of chemoepitaxial guideposts for directed self-assembly of block copolymer systems using an inexact-Newton algorithm.
CoRR
Dingcheng Luo, Lianghao Cao, Peng Chen, Omar Ghattas, J. Tinsley Oden