New integration and patterning schemes used in 3D memory and logic devices have created manufacturing and yield challenges. Industrial focus has shifted from the scaling of predictable unit processes ...

To ensure success in semiconductor technology development, process engineers must set the allowed ranges for wafer process parameters. Variability must be controlled, so that final fabricated devices ...

The authors present three approaches that a contract development and manufacturing organization can consider when designing development and process-optimization studies that will provide useful data ...

For metallic alloys in aerospace, machine learning can make the development of additive manufacturing (AM) processes both faster and cheaper. In collaboration with the University of Sheffield Advanced ...

Machine learning-assisted metal additive manufacturing has been widely applied in performance optimization and control, such as process parameter optimization, structural optimization of formed parts, ...

In-silico design facilitates process optimization and evaluation of process control strategies. The pharmaceutical industry has recognized the value of implementing a systematic approach to drug ...

An Indian-Ethiopian research group developed a datasheet-based approach for PV system parameter estimations that offers the advantage of not requiring time-consuming and expensive extensive ...