K. Li

TIP-INN: A thermodynamics-informed machine learning framework for the mechanical behavior of rocks

Abstract Modeling the mechanical deformation of geological materials across relevant thermodynamic conditions and dynamic processes remains a fundamental challenge in Earth sciences. Conventional rheological models rely on isolated disciplinary approaches and hard-coded iterative...