The discovery of novel functional materials with targeted properties remains a fundamental challenge in materials science. In this work, we propose InvDesFlow-AL, an active learning-based generative framework for inverse materials design, which iteratively optimizes material generation towards desired properties.
☆35Dec 30, 2025Updated 10 months ago
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