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 | 51 | 2020 |
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 | 20 | 2023 |
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 503, 112844, 2024 | 10 | 2024 |
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 | 9 | 2022 |
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 | 5 | 2023 |
Predictive modeling and uncertainty quantification for diblock copolymer self-assembly L Cao | 4 | 2022 |
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 | 3 | 2023 |
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 |