Artificial intelligence is accelerating the design of microfluidic devices, replacing months of manual iteration with rapid, data-driven optimization. Techniques like Bayesian optimization and machine ...

Abstract: Semiconductor process modeling in early stages of process development is challenging due to limited availability of the data, high dimensionality of inputs and outputs, and ...

In International Journal of Extreme Manufacturing, researchers at the University of Science and Technology Beijing developed ...

Abstract: This paper introduces a cross-process Bayesian multi-objective collaborative optimization framework to address challenges in semiconductor technology migration. We leverage transfer learning ...