Accurate knowledge and control of thermal conductivities is central for the efficient design heat storage transfer devices working with deep eutectic solvents (DESs). The addition water a straightforward cost-efficient way tuning many properties DESs. In this work, aqueous solutions reline, ethaline, glyceline are reported first time. non-equilibrium molecular dynamics Müller-Plathe (MP) method...

Deep eutectic solvents (DESs) are a class of mixtures with melting points notably lower than those their raw constituent components. These liquids have found tremendously wide spectrum applications in the last two decades research, so contact and interaction technical metals alloys inevitable. Therefore, corrosivity DESs towards is an extremely important topic. This review summarizes research e...

Decentralized energy supply systems (DESS) are highly integrated and complex systems designed to meet time-varying energy demands, e.g., heating, cooling, and electricity. The synthesis problem of DESS addresses combining various types of energy conversion units, choosing their sizing and operations to maximize an objective function, e.g., the net present value. In practice, investment costs an...

In recent years, green solvents named deep eutectic solvents (DESs) have been found to possess significant properties and to be applicable in several technologies. Choline chloride (ChCl) mixed with urea at a ratio of 1:2 and 80 °C was the first discovered DES. In this article, chemical structure and combination mechanism of ChCl: urea based DES were investigated. Moreover, the implementation o...

In this paper, two neural network mechanisms for synthesis of solutions in non-connict cases in distributed expert systems (DESs) are proposed. The ideas are: inputs of the neural network are diierent solutions for the same problem from diierent expert systems in DESs; outputs of the neural network are the nal solutions for the problem after combining diierent solutions which should be the same...