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Abstract: Thermoelasticity of Geologically Relevant Silica Phases (SiO<sub>2</sub>) Using Machine Learning Potentials (AGU25)

Thermoelasticity of Geologically Relevant Silica Phases (SiO2) Using Machine Learning Potentials

Jessica Santos Rego1,2, Chenxing Luo3, Caetano Rodrigues Miranda2 and Renata Wentzcovitch4, (1)Columbia University of New York, Department of Earth and Environmental Sciences, Palisades, United States, (2)University of São Paulo, Department of Materials Physics and Mechanics, São Paulo, Brazil, (3)Princeton University, Department of Geosciences, Princeton, NJ, United States, (4)Columbia University in the City of New York, New York, United States
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