Go, Jinwoo, and Chen, Peng. Sequential infinite-dimensional Bayesian optimal experimental design with derivative-informed latent attention neural operator. Retrieved from https://par.nsf.gov/biblio/10628357. Journal of Computational Physics 532.C Web. doi:10.1016/j.jcp.2025.113976.

Go, Jinwoo, & Chen, Peng. Sequential infinite-dimensional Bayesian optimal experimental design with derivative-informed latent attention neural operator. Journal of Computational Physics, 532 (C). Retrieved from https://par.nsf.gov/biblio/10628357. https://doi.org/10.1016/j.jcp.2025.113976

Go, Jinwoo, and Chen, Peng. "Sequential infinite-dimensional Bayesian optimal experimental design with derivative-informed latent attention neural operator". Journal of Computational Physics 532 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.jcp.2025.113976. https://par.nsf.gov/biblio/10628357.

@article{osti_10628357,
place = {Country unknown/Code not available}, title = {Sequential infinite-dimensional Bayesian optimal experimental design with derivative-informed latent attention neural operator}, url = {https://par.nsf.gov/biblio/10628357}, DOI = {10.1016/j.jcp.2025.113976}, abstractNote = {}, journal = {Journal of Computational Physics}, volume = {532}, number = {C}, publisher = {Elsevier}, author = {Go, Jinwoo and Chen, Peng}, }