Distillation equilibrium data

Liquid - Vapor Equilibrium/Distillation

Background The volatility of a compound is its ability to change into a vapor, or to evaporate at a particular temperature and pressure. The normal boiling point of a liquid usually allows comparison of its volatility to other materials, with lower boiling points indicating greater volatility, but this may be affected somewhat by the presence of other materials. Comparison of the concentration ...

Topic Distillation using Support Vector Data Description

Data Distillation , Analytics , and Machine Learning

In this paper we first provide a brief overview on latent variables modeling methods for process data analytics and the related objectives to distill desirable components or features from a mixture of measured variables. These methods are then extended to modeling high dimensional time series data to extract the most dynamic latent variables one after another, which are referred to as principal...

Data Distillation: Towards Omni-Supervised Learning

We investigate omni-supervised learning, a special regime of semi-supervised learning in which the learner exploits all available labeled data plus internet-scale sources of unlabeled data. Omni-supervised learning is lowerbounded by performance on existing labeled datasets, offering the potential to surpass state-of-the-art fully supervised methods. To exploit the omni-supervised setting, we p...

Liquid-liquid equilibrium data prediction using large margin nearest neighbor

Guanidine hydrochloride has been widely used in the initial recovery steps of active protein from the inclusion bodies in aqueous two-phase system (ATPS). The knowledge of the guanidine hydrochloride effects on the liquid-liquid equilibrium (LLE) phase diagram behavior is still inadequate and no comprehensive theory exists for the prediction of the experimental trends. Therefore the effect the ...