The process control and instrumentation minor emphasizes developing skills and knowledge in theory, software and in the field. Students graduate ready to solve complex control problems in the chemical ...

Using artificial intelligence to control digital manufacturing Researchers train a machine-learning model to monitor and adjust the 3D printing process to correct errors in real-time Date: August 2, ...

Pharmaceutical manufacturing requires defining quality target product profiles and critical quality attributes (CQAs) to ensure desired product quality. Process development identifies critical process ...

Aim: To demonstrate the potential of in-line nanoparticle size measurements using the NanoFlowSizer (NFS) as a PAT method. To achieve real-time process control by establishing automated regulation of ...

Jon Herlocker, co-founder and CEO of Tignis, sat down with Semiconductor Engineering to talk about how AI in advanced process control reduces equipment variability and corrects for process drift. What ...

Additive manufacturing, also known as 3D printing, has had a major impact on the contemporary design and production process. First developed in 1988 with the aim of allowing for rapid prototyping, ...

With the continued need for shrinking pattern dimensions, semiconductor manufacturers continue to implement more complex patterning techniques, such as advanced multi-patterning, for the 10nm design ...

Historically, pharmaceutical products have been produced in a traditional ‘batch’ system, in which every operation is executed separately using a defined quantity of materials. In batch manufacturing ...