Recent breakthroughs in Earth sciences are increasingly driven by advances in seismology—particularly in numerical simulation, forward and inverse modeling, and rapidly evolving computational capabilities. This session provides a forum for presenting cutting-edge theoretical and computational developments that are pushing the boundaries of modern seismology, with an emphasis on global collaboration and open exchange of ideas.

We invite contributions on innovative strategies for improving forward modeling accuracy and efficiency, developing robust solutions to nonlinear inverse problems, scaling methods for growing data complexity, methods for combining multiple datasets including emerging data with computational theory. Topics of interest include, but are not limited to: integration of fiber-optic (DAS) data; multi-scale and multi-parameter tomography; advances in effective medium theory; uncertainty quantification in data and model space; physics-informed machine learning and deep learning approaches for forward and inverse problems; emerging concepts in seismic interferometry; and the use of novel hardware architectures and programming paradigms.

• DI - Study of the Earth's Deep Interior
• P - Planetary Sciences