<ul><li>Homogenization is a fundamental tool for studying multiscale physical phenomena.</li><li>A novel numerical homogenization framework called PreFine-Homo is proposed, consisting of pretraining and fine-tuning phases.</li><li>PreFine-Homo delivers homogenization results up to 1000 times faster than conventional methods in the pretraining phase.</li><li>The fine-tuning phase of PreFine-Homo enables continuous learning, improvement, and strong extrapolation ability for multiscale homogenization tasks.</li></ul>

A Pretraining-Finetuning Computational Framework for Material Homogenization

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