We develop new empirical scaling laws for rupture width W⁠, rupture length L⁠, rupture
area A⁠, and average slip D⁠, based on a large database of rupture models. The database …

Two sets of predictive models are developed based on the machine learning (ML) and
general orthogonal regression (GOR) approaches for predicting the seismic source …

Here, I present a database of> 160 finite fault models for all earthquakes of M 7.5 and above
since 1990, created using a consistent modeling approach. The use of a common approach …

New scaling relationships of key earthquake source parameters are developed by uniformly
and systematically analyzing 226 finite-fault rupture models from the SRCMOD database …

This article introduces a strong‐motion dataset of near‐source broadband earthquake
ground motions from 3D physics‐based numerical simulations—named BB‐SPEEDset …

Scaling of earthquake faults is important not only for earthquake physics but also seismic
hazard assessment. There have been many studies about this topic. It is significant to …

In this paper, we have conducted a probabilistic tsunami hazard assessment (PTHA) for
Hong Kong (China) and Kao Hsiung (Taiwan), considering earthquakes generated in the …

Estimates of spectral stress drop are fundamental to understanding the factors controlling
earthquake rupture and high frequency ground motion, but are known to include large …

Earthquake ground surface ruptures provide insights into faulting mechanics and inform
seismic hazard analyses. We analyze surface ruptures for 11 historical (1968–2018) …

Here, we revisit the issue of slip distributions modeled as spatially random fields. For each
earthquake in the US Geological Survey's database of finite‐fault models (M 7–9), we …