ARMM: Adaptive Reliability Quantification Model of Microfluidic Designs and its Graph-Transformer-Based Implementation
Siyuan Liang,
Meng Lian,
Mengchu Li
et al.
Abstract:After decades of development, flow-based microfluidic biochips have become a revolutionary platform for biochemical experiments. To meet the increasingly complex experimental demands, the length and density of channels in these chips grow significantly, which brings about higher defect probabilities. Till now, several methods have been proposed to improve the yield of these increasingly complex chips. However, the effectiveness of these methods cannot be properly evaluated, since there has been no method that … Show more
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