The data and code for the paper L. Lu, R. Pestourie, S. G. Johnson, & G. Romano. Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport. Physical Review Research, 4(2), 023210, 2022.
If you use this data or code for academic research, you are encouraged to cite the following paper:
@article{PhysRevResearch.4.023210,
title = {Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport},
author = {Lu, Lu and Pestourie, Rapha\"el and Johnson, Steven G. and Romano, Giuseppe},
journal = {Phys. Rev. Research},
volume = {4},
issue = {2},
pages = {023210},
year = {2022},
doi = {10.1103/PhysRevResearch.4.023210}
}
To get help on how to use the data or code, simply open an issue in the GitHub "Issues" section.