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 ...

Compared to the conventional high-order staggered-grid finite-difference method (C-SFD), the time–space domain dispersion-relation-based high-order staggered-grid finite-difference method (TS-SFD) can ...

ALIGNING THE CHILDHOOD VACCINE SCHEDULE WITH INTERNATIONAL BEST PRACTICES: Today, President Donald J. Trump signed a Presidential Memorandum to begin the process to align U.S. core childhood vaccine ...

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 ...