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Machine Learning in Seismicity: A new published paper

We are pleased to announce that our research paper titled “A data-driven artificial neural network model for the prediction of ground motion from induced seismicity: The case of The Geysers geothermal field” has been published on Frontiers in Earth Science.

We are proud of the work done by our team and hope that this research will contribute to the field of ground-motion modeling and seismic hazard assessment.

If you’re interested in learning more about our research, you can read the full paper by clicking the following link:

https://www.frontiersin.org/articles/10.3389/feart.2022.917608/full

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