More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

Researchers at Korea University have developed a machine learning model for predicting sheet resistance in phosphorus oxychloride (POCl3) doping processes in solar cell manufacturing. “Our study aims ...

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real-time process monitoring ...

Flex joins MIT's Initiative for New Manufacturing Consortium as a founding member MIT graduate and PhD students will use artificial intelligence (AI) and automation to address manufacturing and supply ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...