Dingcheng Luo

According to our database, Dingcheng Luo authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Shape Derivative-Informed Neural Operators with Application to Risk-Averse Shape Optimization.

Xindi Gong, Dingcheng Luo, Thomas O'Leary-Roseberry, Ruanui Nicholson, Omar Ghattas

CoRR, March, 2026

2025

Derivative-Informed Fourier Neural Operator: Universal Approximation and Applications to PDE-Constrained Optimization.

Boyuan Yao, Dingcheng Luo, Lianghao Cao, Nikola B. Kovachki, Thomas O'Leary-Roseberry, Omar Ghattas

CoRR, December, 2025

Dimension reduction for derivative-informed operator learning: An analysis of approximation errors.

Dingcheng Luo, Thomas O'Leary-Roseberry, Peng Chen, Omar Ghattas

CoRR, April, 2025

A Cascaded Vernier Sensing Structure Combined With Ensemble Learning for High-Sensitivity and Large-Range Bovine Serum Albumin Detection.

Yong Zhao, Chaofan Li, Li-Ming Zhou, Fucheng Xiang, Dingcheng Luo, Rui-Jie Tong, Mao-Qing Chen

IEEE Trans. Instrum. Meas., 2025

Efficient PDE-Constrained Optimization Under High-Dimensional Uncertainty Using Derivative-Informed Neural Operators.

Dingcheng Luo, Thomas O'Leary-Roseberry, Peng Chen, Omar Ghattas

SIAM J. Sci. Comput., 2025

2024

SOUPy: Stochastic PDE-constrained optimization under high-dimensional uncertainty in Python.

Dingcheng Luo, Peng Chen, Thomas O'Leary-Roseberry, Umberto Villa, Omar Ghattas

J. Open Source Softw., 2024

Inference of Heterogeneous Material Properties via Infinite-Dimensional Integrated DIC.

Joseph Kirchhoff, Dingcheng Luo, Thomas O'Leary-Roseberry, Omar Ghattas

CoRR, 2024

Gaussian mixture Taylor approximations of risk measures constrained by PDEs with Gaussian random field inputs.

Dingcheng Luo, Joshua Chen, Peng Chen, Omar Ghattas

CoRR, 2024

2023

Optimal design of chemoepitaxial guideposts for the directed self-assembly of block copolymer systems using an inexact Newton algorithm.

Dingcheng Luo, Lianghao Cao, Peng Chen, Omar Ghattas, J. Tinsley Oden

J. Comput. Phys., 2023