Prediction of CO2 solubility in ionic liquids using machine learning methods
A comprehensive database containing 10,116 CO 2 solubility data measured in various
ionic liquids (ILs) at different temperatures and pressures is established. Based on this …
ionic liquids (ILs) at different temperatures and pressures is established. Based on this …
[HTML][HTML] Perspectives on resource recovery from bio-based production processes: from concept to implementation
Recovering valuable compounds from waste streams of bio-based production processes is
in line with the circular economy paradigm, and is achievable by implementing “simple-to …
in line with the circular economy paradigm, and is achievable by implementing “simple-to …
Systematic optimization-based integrated chemical product–process design framework
An integrated optimization-based framework for product and process design is proposed.
The framework uses a set of methods and tools to obtain the optimal product–process …
The framework uses a set of methods and tools to obtain the optimal product–process …
Designing a surrogate fuel for gas-to-liquid derived diesel
Synthetic diesel fuel produced from natural gas via gas-to-liquid (GTL) technology is referred
to as ultraclean fuel but is still challenged for full certification as diesel fuel. GTL diesel lacks …
to as ultraclean fuel but is still challenged for full certification as diesel fuel. GTL diesel lacks …
Extensive data analysis and modelling of carbon dioxide solubility in ionic liquids using chemical structure-based ensemble learning approaches
R Nakhaei-Kohani, B Amiri-Ramsheh, M Pourmahdi… - Fluid Phase …, 2024 - Elsevier
The significant rise in carbon dioxide (CO 2) emission due to industrial growth is a major
global challenge. As a result, there is a need to implement various techniques to reduce and …
global challenge. As a result, there is a need to implement various techniques to reduce and …
A Methodology for Emulsion Design Based on Emulsion Science and Expert Knowledge. Part 1: Conceptual Approach
Formulated emulsions have a high commercial value due to their multiple applications in
several product sectors such as cosmetics, nutrition, medicine, and household products …
several product sectors such as cosmetics, nutrition, medicine, and household products …
Reverse engineering of working fluid selection for industrial heat pump based on Monte Carlo sampling and uncertainty analysis
This study presents a novel methodology for the identification of suitable pure component
working fluids for heat pumps. Two challenges are addressed: the difficulties in solving a …
working fluids for heat pumps. Two challenges are addressed: the difficulties in solving a …
Computer-Aided Refrigerant Design: New Developments
N Kuprasertwong, O Padungwatanaroj, A Robin… - Computer Aided …, 2021 - Elsevier
Refrigerants are chemical compounds with specific thermodynamic properties that affect the
performance of refrigeration processes. Consequently, the properties of refrigerants play a …
performance of refrigeration processes. Consequently, the properties of refrigerants play a …
Surrogate Modeling with Gradient Information and Symbolic Regression
MR Engle - 2021 - search.proquest.com
Data-driven modeling and optimization are the main components in modern process
systems engineering. Models can be either first-principle or empirical ones that act as …
systems engineering. Models can be either first-principle or empirical ones that act as …
Integrated computer-aided framework for chemical product and process application design and optimization for waste heat recovery
S Cignitti, JM Woodley, J Abildskov - Computer Aided Chemical …, 2017 - Elsevier
This contribution presents an integrated framework for product-process design. The
framework integrates the two design problems into one and finds the optimal solution …
framework integrates the two design problems into one and finds the optimal solution …