We present a generic way to hybridize physical and data-driven methods for predicting
physicochemical properties. The approach 'distills' the physical method's predictions into a …

Nuclear magnetic resonance (NMR) spectroscopy is a powerful tool for qualitative and
quantitative analysis. However, for complex mixtures, determining the speciation from NMR …

Poorly specified mixtures, whose composition is unknown, are ubiquitous in chemical and
biochemical engineering. In the present work, we propose a rational method for defining and …

In many chemical engineering processes, mixtures occur whose composition is not well-
known. Simulations of processes with such poorly specified mixtures are basically …

Nuclear magnetic resonance (NMR) spectroscopy is a powerful tool for elucidating the
structure of unknown components and the composition of liquid mixtures. However, these …

Liquid-liquid extraction is often used in industry because of its advantages of low energy
consumption and low cost. In this study, ionic liquids were used to separate ethyl acetate/n …

Poorly specified mixtures are common in process engineering, especially in bioprocess
engineering. The properties of such mixtures of unknown composition cannot be described …

Poorly specified mixtures, ie, mixtures of unknown or incompletely known composition, are
common in many fields of process engineering. Dealing with such mixtures in process …

Poorly specified liquid mixtures comprised of specified and unknown components appear
regularly in process engineering. In the present work, a novel perturbation scheme is …