The present paper provides a comprehensive review of heat recovery opportunities for proton exchange membrane fuel cells. A significant amount of heat is generated by these fuel …
Big Data and Cloud Computing as two mainstream technologies, are at the center of concern in the IT field. Every day a huge amount of data is produced from different sources. This …
This paper aims to investigate the electrical, thermal and exergy efficiencies of a photovoltaic/ thermal (PV/T) system cooled by Ag/water nanofluid. The utilized nanofluid was prepared …
The performance of time series forecasting has recently been greatly improved by the introduction of transformers. In this paper, we propose a general multi-scale framework that can be …
We aimed to assess different methods for evaluating performance accuracy in species distribution models based on the application of five types of bioclimatic models under three …
Quantum tunnelling is a phenomenon in which a quantum state traverses energy barriers higher than the energy of the state itself. Quantum tunnelling has been hypothesized as an …
Recently a Lagrangian formulation for Rastall Gravity (RG) has been proposed in the framework of f(R, T) gravity. In the present work we obtain Lagrangian formulation for the standard …
Battery energy storage systems are increasingly important for market-driven applications such as price arbitrage, yet their long-term profitability and durability depend strongly on how …
We develop an efficient and robust approach for quantum measurement of nearly sparse many-body quantum Hamiltonians based on the method of compressive sensing. This work …
Gas diffusion layer (GDL) has a critical role in determining the performance of proton exchange membrane (PEM) fuel cells and electrolysers by facilitating uninterrupted and smooth …