Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that threaten both lives and critical infrastructure. In 2022, a slope failure ...

Machine learning has emerged as a transformative approach for enhancing the forecasting of seismic events, offering the ability to discern subtle patterns within vast geophysical datasets. Traditional ...

Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...

Rapid and accurate simulations of fluid dynamics around complicated geometric bodies are critical in a variety of engineering and scientific applications. While scientific machine learning (SciML) has ...

The Committee on Solid Earth Geophysics serves as the focal point for community discussion and community-agency interaction on issues related to the structure, dynamics, and evolution of the Earth.

Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...