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 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, ...

As the grid evolves with electrification, distributed energy resources, and telecommunications, utilities face increasing ...

The transformer-based model is being developed to help organizations—most notably in the finance industry—dig deeper into ...