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 ...

AI and machine learning play a critical role in unlocking the full potential of manufacturing operations. By combining vast datasets with sophisticated algorithms, manufacturers can gain unprecedented ...

The rise of AI adoption in manufacturing is real, but it's being driven by business outcomes, not technological complexity.

The latest study in Engineering reveals a groundbreaking approach to greener ethylene manufacturing using a novel physically consistent machine ...

Researchers at Lehigh University are developing a faster, more accurate way to predict how metals solidify during 3D printing and other additive manufacturing processes. Supported by a three-year, ...