Dynamic optimisation and model predictive control (MPC) are at the forefront of modern process systems engineering, offering robust methodologies to address the challenges posed by time-varying ...

The semiconductor industry has always faced challenges caused by device scaling, architecture evolution, and process complexity and integration. These challenges are coupled with a need to provide new ...

Learn how asset level intelligence maintenance and disciplined data architecture transform oil and gas reliability in this ...

The oil and gas industry involves capital intensive processes with continuous output. Raw materials, such as crude oil, are converted to petroleum products on a very large-scale, making process ...

Predictive modeling and atomic-scale control are reducing development time for advanced materials, also increasing precision, functionality, and efficiency.

Here, we present new biophysical models of gene expression that enable engineers to rationally design and optimize genetic systems with desired functionalities, using statistical thermodynamics, ...