Quantum computer research is advancing at a rapid pace. Today's devices, however, still have significant limitations: For example, the length of a quantum computation is severely limited—that is, the ...

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 ...

Digital engineering and modeling and simulation (M&S) are transformative approaches that enable precision, efficiency and ...

Abstract: The radial basis function neural network (RBFNN) is a learning model with better generalization ability, which attracts much attention in nonlinear system identification. Compared with the ...

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 ...

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 relentless pace of semiconductor development continues unabated. Despite the slowdown in Moore’s law, feature sizes continue to shrink as new geometries come online. Constant innovations in both ...

School of Economics and Management, Zhejiang Shuren University, Hangzhou, China This study explores the multiple mediation effects of impulse buying and a self-control failure on the relationship ...

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 ...

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 ...