High-temperature proton exchange membrane fuel cells (HT-PEMFCs) are highly promising for next-generation aviation, as they can operate above 160 °C ...

A new study published in Engineering by Xin Wang, Jian Yao, Jin Zhang and their colleagues proposes a machine-learning-guided strategy that combines ...

A finished device: Optical microscope image of the transistor (left) and an ultra-scaled vertical nanowire (right). (Courtesy: Y Shao) A new transistor made from semiconducting vertical nanowires of ...

Abstract: Most researchers employed common functional models when managing scheduling problems with controllable processing times. However, in many complicated manufacturing systems with a high ...

The study of the Fermi-Dirac integral has notable implications ranging from the determination of the electronic concentration in AlGaN/GaN heterostructures to the calculation of the AlGaN/GaN current ...

Thanks for your good job! In your paper you mentioned,"we assume the distribution is a Boltzmann distribution related to the returns of trajectories." why you use Boltzmann distribution describe the ...

Restricted Boltzmann machines are common machine learning models that can utilize quantum annealing devices in their training processes as quantum samplers. While this approach has shown promise as an ...

In multi-component flow and/or thermal flows, when the diffusion coefficient of the advection–diffusion equation is relatively small, the relaxation coefficient in the lattice Boltzmann method will be ...