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Machine Learning in Earthquake Dynamics by shivprabhakar4560 is a document available to read on EtoBox.
What is Machine Learning in Earthquake Dynamics about?
The manuscript presents a machine learning approach to predict earthquake rupture dynamics using two algorithms, achieving over 81% accuracy in predicting rupture propagation or arrest. It highlights the challenges of simulating dynamic rupture due to uncertainties in fault physics and the computational costs involved. The study utilizes a dataset from 2,000 dynamic rupture simulations to train models that can efficiently analyze complex fault geometries and conditions.
- Author
- shivprabhakar4560
- Language
- EN