In this paper we propose a MILP formulation for the automatic identification and training of hybrid models starting from mechanistic information and data
Download hereIn this paper we review the capabilities of hybrid modelling in process intensification domain
Download hereIn this paper we review the capabilities of AI in generating novel reactor designs employing CFD simulations
Download hereIn this paper we develop an hybrid model for CO₂ solubility prediction differentiating physical and chemical absorption
Download hereIn this paper we present an autoencoder-based methodology that simulates Raman spectra from process variables and predicts the concentrations of different chemicals.
Download hereIn this paper we propose the structure teaching machine learning application for Chemical Engineering Master’s students
Download hereIn this paper we investigate the application of hybrid modelling to predict activity coefficients
Download hereIn this paper we investigate the application of hybrid modelling to predict poorly specified reaction system. After the modelling effot, we propose a method to optimize the reaction system.
Download hereIn this paper we investigate the application of hybrid modelling technique to predict the solvent switch process behaviour.
Download hereIn this paper we apply reinforcement learning techniques to improve the efficiency of solvent switch process.
Download hereIn this paper we apply hybrid modeling to predict mass-transfer coefficients in spray columns for CO2 capture
Download hereIn this paper we investigate the effect of MEA concentration on the overall mass transfer coefficient in spray column on CO2 capture
Download hereIn this paper we apply machine learning technique to improve the accuracy of COSMO-RS model in predicting surface tension of liquids employing molecular descriptors
Download hereIn this paper we apply bayesian optimisation algorithm to analyse the effect of shapes and dimensions of monolith channels in photochemical reactor and including multiobjective optimisation to improve its design
Download hereIn this paper we apply evolutionary algorithm for the automatic generation of hybrid models for chemical processes starting from mechanistic model description
Download hereThis study proposes a hybrid model correlating the partitioning of organic molecules in octanol/water with the partitioning in ionic-liquid/water systems.
Download hereIn this paper we investigate the application of reinforcement learning techniques to improve the efficiency of continous reaction processes
Download hereIn this paper we investigate the effect of MEA concentration on the overall CO2 capture process efficiency
Download hereIn this paper we compare the performance of artificial neural networks and polynomial models optimized with warm intelligence in predicting process behaviours under different data scenario
Download hereIn this paper we apply bayesian optimization to identify the most efficient neural network structure to predict mass-transfer coefficients CO2 capture spray columns
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