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[HTML][HTML] Harnessing the advances of MEDA to optimize multi-PUF for enhancing IP security of biochips
Digital microfluidic biochips (DMFBs) have a significant stride in the applications of medicine
and the biochemistry in recent years. DMFBs based on micro-electrode-dot-array (MEDA) …
and the biochemistry in recent years. DMFBs based on micro-electrode-dot-array (MEDA) …
GNN-based concentration prediction with variable input flow rates for microfluidic mixers
Recent years have witnessed significant advances brought by microfluidic biochips in
automating biochemical protocols. Accurate preparation of fluid samples is an essential …
automating biochemical protocols. Accurate preparation of fluid samples is an essential …
Towards Data-centric Machine Learning on Directed Graphs: a Survey
In recent years, Graph Neural Networks (GNNs) have made significant advances in
processing structured data. However, most of them primarily adopted a model-centric …
processing structured data. However, most of them primarily adopted a model-centric …
ARMM: Adaptive reliability quantification model of microfluidic designs and its graph-transformer-based implementation
After decades of development, flow-based microfluidic biochips have become a
revolutionary platform for biochemical experiments. To meet the increasingly complex …
revolutionary platform for biochemical experiments. To meet the increasingly complex …
GAT-based Concentration Prediction for Random Microfluidic Mixers with Multiple Input Flow Rates
Microfluidic biochips have emerged with significant promise and versatility in automating a
variety of biochemical protocols. Accurate preparation of fluid samples with microfluidic …
variety of biochemical protocols. Accurate preparation of fluid samples with microfluidic …