<ul><li>Solving partial differential equations (PDEs) with machine learning has gained popularity recently as PDEs are essential for modeling various real-world systems.</li><li>Most machine learning studies focused on solving single-field problems, neglecting the importance of multiphysics problems, common in real-world systems.</li><li>Researchers introduced the Multiphysics Bench dataset, the most extensive PDE dataset, and investigated the performance of various PDE solvers on multiphysics problems.</li><li>The study reported insights and tricks for solving multiphysics problems with machine learning, paving the way for future research in simulating complex physical systems.</li></ul>

Multiphysics Bench: Benchmarking and Investigating Scientific Machine Learning for Multiphysics PDEs

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