Abstract: This paper proposes a data-driven self-triggered model predictive control (MPC) scheme for constrained linear time-invariant (LTI) systems that are unknown and affected by bounded process ...

Artificial intelligence (AI) is no longer a research concept — it is the economic engine driving infrastructure investment worldwide. The growth of AI data centers, powered by high-performance CPUs, ...

A novel parallel computing framework for chemical process simulation has been proposed by researchers from the East China University of Science and Technology and the University of Sheffield. This ...

Producing modern semiconductor devices is an immensely challenging process. Successful execution entails advanced process nodes, novel device architectures, new materials, and many fabrication steps.

Advanced process simulation (APS) is transforming how chemical companies operate by decreasing the time it takes to test and scale new chemical formulations and empowering them to optimise operations, ...

School of Chemical Engineering and Technology, State Key Laboratory of Chemical Engineering, Tianjin University, Tianjin 300072, People’s Republic of China Haihe Laboratory of Sustainable Chemical ...

The materials have been made available under an MIT license. The materials are as-is with no liability for the author. Please provide credit if you reuse the code in your own work. All dependencies ...

In response to pressure from rivals including Chinese AI company DeepSeek, OpenAI is changing the way its newest AI model, o3-mini, communicates its step-by-step “thought” process. On Thursday, OpenAI ...

The product development process can be improved with single-physics simulation, multiphysics simulation and simulation apps. This article looks at three real-world examples that show how integrating ...