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Lianghao Cao
Lianghao Cao
Postdoctoral Scholar Research Associate, California Institute of Technology
Verified email at caltech.edu - Homepage
Title
Cited by
Cited by
Year
Bayesian-based predictions of COVID-19 evolution in Texas using multispecies mixture-theoretic continuum models
PK Jha, L Cao, JT Oden
Computational mechanics 66 (5), 1055-1068, 2020
512020
Residual-based error correction for neural operator accelerated infinite-dimensional Bayesian inverse problems
L Cao, T O'Leary-Roseberry, PK Jha, JT Oden, O Ghattas
Journal of Computational Physics 486, 112104, 2023
172023
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
L Cao, O Ghattas, JT Oden
SIAM Journal on Scientific Computing 44 (1), B51-B79, 2022
102022
Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport
R Baptista, L Cao, J Chen, O Ghattas, F Li, YM Marzouk, JT Oden
Journal of Computational Physics, 112844, 2024
7*2024
Optimal design of chemoepitaxial guideposts for the directed self-assembly of block copolymer systems using an inexact Newton algorithm
D Luo, L Cao, P Chen, O Ghattas, JT Oden
Journal of Computational Physics 485, 112101, 2023
62023
Predictive modeling and uncertainty quantification for diblock copolymer self-assembly
L Cao
52022
A nonlocal theory of heat transfer and micro-phase separation of nanostructured copolymers
PK Singh, L Cao, J Tan, D Faghihi
International Journal of Heat and Mass Transfer 215, 124474, 2023
42023
Bayesian model calibration for diblock copolymer thin film self-assembly using power spectrum of microscopy data and machine learning surrogate
L Cao, K Wu, JT Oden, P Chen, O Ghattas
Computer Methods in Applied Mechanics and Engineering, 116349, 2023
3*2023
Efficient geometric Markov chain Monte Carlo for nonlinear Bayesian inversion enabled by derivative-informed neural operators
L Cao, T O'Leary-Roseberry, O Ghattas
arXiv preprint arXiv:2403.08220, 2024
2024
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