E nergy costs are the largest percentage of a hydrocarbon plant’s operating expenditures. This is especially true of the distillation process, which requires substantial energy consumption. Concerns over recent high costs and economic pressures continually emphasise the need for efficient distillation design and operation without a loss of performance. This article illustrates how energy-effici...

We experimentally demonstrate the two-step distillation of entanglement. The output of a first distillation stage underwent a second distillation step and was made available for subsequent steps. Our experiment displays the realization of the building blocks required for an entanglement distillation scheme that can fully overcome decoherence.

Cache hierarchies play a very important role in bridging the speed gap between processors and memory. As this gap increases, it becomes increasingly important to intelligently design and manage a cache system. The performance of current caches is reduced because more than half of the data that is brought into the cache is never referenced, resulting in very low utilization. We propose line dist...

Essential oils have increasing importance in flavour and fragrance industries. They are obtained by distillation techniques. In order to produce an oil with market potential its optimum production parameters have to be well known prior to its commercial production. Determination of the steam distillation parameters of commercially available Laurel leaves oil in pilot plant scale is described. T...

Crude oil distillation (atmospheric distillation column with furnace) consumes about 50% of the energy required in oil refinery plant. To achieve further reduction of the energy required in oil refinery plants, it is required to investigate the crude oil distillation and to retrofit it for energy saving process. Recently, authors developed an innovative process design technology, self-heat recu...

We introduce an efficient training framework for constructing machine learning-based emulators and demonstrate its capability by artificial neural network to predict the time evolution of quantum wave packets propagating through a potential landscape. This approach is based on idea knowledge distillation uses elements curriculum learning. It works set simple, but rich-in-physics examples (a cur...

Modeling distillation is one of those activities that distinguish chemical engineers from their peers. Modeling distillation is something that chemical engineers have been doing continuously (or in batches) for 113 years. Despite predictions of an earlier demise, distillation modeling is not dead. And, while such forecasts have played a role in the lessening of financial support available for d...

We construct new entanglement distillation protocols by interpolating between the recurrence and hashing protocols. This leads to asymptotic two-way distillation protocols, resulting in an improvement of the distillation rate for all mixed Bell diagonal entangled states, even for the ones with very high fidelity. We also present a method how entanglement-assisted distillation protocols can be c...

Distillation is an essential separation process in the chemical and petrochemical industry. The distillation process is a highly nonlinear, complex, interactive and non -stationary, therefore its control is difficult. In the present work an adaptive neuro-fuzzy controller is designed to control a binary distillation process. A conventional PID controller is also designed for comparison purpose....