As the industry adopts in-line monitoring and analytics, integrated AI-linked sensors may soon enable model-based process controls.

Bioprocess monitoring and control have been around since the beginning of therapeutic biotechnology, borrowing methodologies from industrial biotech and chemical/pharmaceutical processing. During the ...

Polymers are organic materials that are characterized by unique properties, such as tensile strength and viscoelastic behavior under deformation. As a result, these materials are used extensively in ...

These models can be used either offline to provide the optimal process cycle, or online to provide optimal, real-time process control [3]. This is the target of the iREMO project (www.iremo.eu), an EC ...

Pharmaceutical companies and clinical research organizations (CROs) that adopt risk-based monitoring (RBM) in their clinical development programs often ask what a normal day or normal week will look ...

Chip designers working on advanced nodes typically include a fabric of sensors spread across the die for a number of very specific reasons. In this, the second of a three-part blog series, we explore ...

The semiconductor manufacturing process involves many steps, including, but not limited to, film deposition, photolithography, etching, and chemical mechanical polishing (CMP). Contamination can ...

Nimesh Khadka: Hot melt extrusion is widely used to improve drug solubility, bioavailability, and stability, but the process ...

With UNIX having many tasks running simultaneously, through the years developers have incorporated several command-line tools that allow for live process management ...

In the injection molding of plastics, in-mold sensors, as part of a variety of process control packages, have been around for decades. But comparatively recently, similar technology has begun to make ...