The unique physicochemical properties, flexible structural tunability, and giant chemical
space of ionic liquids (ILs) provide them a great opportunity to match different target …

Innovation in digitalization and low-carbon technologies are leading the way for the
production sector. In the context of the bioeconomy, a path is opening up for the integration …

Prediction of agricultural energy output and environmental impacts play important role in
energy management and conservation of environment as it can help us to evaluate …

The emergence of new sites for wind energy exploration in South Africa requires an
accurate prediction of the potential power output of a typical utility-scale wind turbine in such …

Adaptive neuro-fuzzy inference system (ANFIS) is efficient estimation model not only among
neuro-fuzzy systems but also various other machine learning techniques. Despite …

Comprehensive experimental investigation and accurate predictive models are required to
understand the dynamics in Ionic liquid (IL) properties. Examples of these predictive models …

The adaptive neuro-fuzzy inference system (ANFIS) is employed in a vast range of
applications because of its smoothness (by Fuzzy Control (FC)) and adaptability (by Neural …

A new group contribution (GC) quantitative structure-property relationship (QSPR) for
estimating density (ρ) of pure ionic liquids (ILs) as a function of temperature (T) and pressure …

Carbon dioxide (CO 2) capture from natural gas is integral towards meeting pipeline sales
gas specifications and avoiding operational problems during natural gas liquefaction …

Ionic liquids (ILs), because of the advantages of low volatility, good thermal stability, high
gas solubility and easy recovery, can be regarded as the green substitute for traditional …