MetaNOR: A meta-learnt nonlocal operator regression approach for metamaterial modeling
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DOI: 10.1557/s43579-022-00250-0
Abstract: We propose MetaNOR, a meta-learnt approach for transfer-learning operators based on the nonlocal operator regression. The overall goal is to efficiently provide surrogate models for new and unknown material-learning tasks with different microstructures. The algorithm… read more here.
Keywords: meta learnt; operator regression; nonlocal operator; metanor meta ... See more keywords