Julia for Geoscience
| Title | Julia for Geoscience |
| Publication Type | Presentation |
| Year of Publication | 2022 |
| Authors | Ziyi Yin, Mathias Louboutin, Philipp A. Witte, Ali Siahkoohi, Gabrio Rizzuti, Rafael Orozco, Henryk Modzelewski, Felix J. Herrmann |
| Keywords | JOLI, JUDI, Julia, machine learning, SLIM, software, TRANSFORM |
| Abstract | In this tutorial, we will introduce the Julia programming language to the geoscience community, covering topics such as I/O, data processing, inversion, and machine learning. We will begin by installing Julia and relevant packages. Through a series of tutorials, we will demonstrate Julia's abstraction power and show how to load and plot data, write your own functions/operators, form and solve a geophysical inverse problem, and demonstrate how to integrate wave-equation solvers in Julia with machine learning frameworks. The intent of this presentation is to provide an introductory level tutorial that will be useful to members of the geoscience community. |
| URL | https://transform.softwareunderground.org/2022-julia-for-geoscience |
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| Citation Key | yin2022TRANSFORMjulia |