Primary Convener:
Carene Larmat, Los Alamos National Laboratory

Convener:
Monica Maceira, Oak Ridge National Laboratory
Andreas Fichtner, ETH Zurich
Bryant Chow, University of Alaska Fairbanks

Early Career Convener:
Bryant Chow, University of Alaska Fairbanks

Chair:
Carene Larmat, Los Alamos National Laboratory
Andreas Fichtner, ETH Zurich
Bryant Chow, University of Alaska Fairbanks
David Guenaga, Oak Ridge National Laboratory

Recent breakthroughs in Earth sciences are increasingly driven by the rapid evolution of computational capabilities and developments in seismology and in numerical simulations. This session offers a forum for presenting cutting-edge theoretical and computational developments, with a strong emphasis on global collaboration and the open exchange of knowledge. We invite innovative contributions that explore strategies for achieving more accurate and efficient forward modeling, robust solutions to (nonlinear) inverse problems, and scalable methods for handling the ever-growing volume of seismic data. Topics of particular interest include, but are not limited to, fiber-optic seismology, multi-scale and multi-parameter tomography, advances in effective medium theory, uncertainty analysis in both data and model space, machine learning approaches to data mining and modeling, seismic interferometry, and leveraging emerging hardware architectures and programming languages.By bringing together diverse perspectives and approaches, this session aims to foster discussions that will shape the future of theoretical and computational seismology.

Index Terms
7260 Theory
7270 Tomography
7290 Computational seismology

Neighborhoods:
2. Earth Interior