Answers are grounded in this paper and cite their sources.
Shows neural networks predict microring dimensions, indicating enhanced process control.
Precise control of geometry and material properties is crucial for repeatable microcombs. We demonstrate that neural networks can predict microring dimensions from dispersion data with nanometer-scale accuracy, enabling fast, non-destructive characterization for establishing process control.
No takes yet. Share an insight, caveat, or question.
Simsek et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: