Lianghao Cao

According to our database, Lianghao Cao authored at least 6 papers between 2022 and 2024.

Collaborative distances:

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

2024

Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport.

Ricardo Baptista, Lianghao Cao, Joshua Chen, Omar Ghattas, Fengyi Li, Youssef M. Marzouk, J. Tinsley Oden

J. Comput. Phys., 2024

Efficient geometric Markov chain Monte Carlo for nonlinear Bayesian inversion enabled by derivative-informed neural operators.

Lianghao Cao, Thomas O'Leary-Roseberry, 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

Residual-based error correction for neural operator accelerated infinite-dimensional Bayesian inverse problems.

Lianghao Cao, Thomas O'Leary-Roseberry, Prashant K. Jha, J. Tinsley Oden, Omar Ghattas

J. Comput. Phys., 2023

Bayesian model calibration for diblock copolymer thin film self-assembly using power spectrum of microscopy data.

Lianghao Cao, Keyi Wu, J. Tinsley Oden, Peng Chen, Omar Ghattas

CoRR, 2023

2022

A Globally Convergent Modified Newton Method for the Direct Minimization of the Ohta-Kawasaki Energy with Application to the Directed Self-Assembly of Diblock Copolymers.

Lianghao Cao, Omar Ghattas, J. Tinsley Oden

SIAM J. Sci. Comput., 2022