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20212024
most citedLearning from learning machines: a new generation of AI technology to meet the needs of science

3 citations · 5 across the 5 of their papers we have counts for

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cs.CE2023

Efficient Inverse Design Optimization through Multi-fidelity Simulations, Machine Learning, and Search Space Reduction Strategies

Luka Grbcic, Juliane Müller, Wibe Albert de Jong

This paper introduces a methodology designed to augment the inverse design optimization process in scenarios constrained by limited compute, through the strategic synergy of multi-…