Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Majid Rasht-Behesht"'
Publikováno v:
Journal of Geophysical Research: Solid Earth. 127
We propose a new approach to the solution of the wave propagation and full waveform inversions (FWIs) based on a recent advance in deep learning called Physics-Informed Neural Networks (PINNs). In this study, we present an algorithm for PINNs applied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86e36f712178d2103d8ea8a7466c92be
https://doi.org/10.1029/2021jb023120
https://doi.org/10.1029/2021jb023120
Autor:
Sahand Hajimirza, Carolina Munoz-Saez, Majid Rasht-Behesht, Sin-Mei Wu, Marianne Karplus, A. Barth, Mara H. Reed, Társilo Girona, Erin White, Michael Manga, Shaul Hurwitz
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance Natural geysers episodically erupt liquid water and steam and, thus, provide a window into multiphase hydrothermal systems. The size of and interval between eruptions can shift over time due to changes in the hydrothermal system and due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9d86c5d8aafe90c9b776fc642d266ee
https://doi.org/10.1073/pnas.2020943118
https://doi.org/10.1073/pnas.2020943118
Publikováno v:
Journal of Geophysical Research: Solid Earth. 125
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17df4d711d52736d85f8df2f8e754f1c
https://doi.org/10.1029/2020jb020264
https://doi.org/10.1029/2020jb020264
Publikováno v:
Physical Review E. 96
The macroscopic description of buoyancy-driven thermal convection in porous media is governed by advection-diffusion processes, which in the presence of thermophysical heterogeneities fail to predict the onset of thermal convection and the average ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9af584eec45a2ea59aaf6ebcc6de6ffc
https://doi.org/10.1103/physreve.96.063105
https://doi.org/10.1103/physreve.96.063105