Using scientific machine learning to develop universal differential equation for multicomponent adsorption separation systems

Global Approach for Simulated Moving Bed Model Identification: Design of Experiments, Uncertainty Evaluation, and Optimization Strategy Assessment

(2021) Rodrigo V. A. Santos et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Hybrid Models for the simulation and prediction of chromatographic processes for protein capture

(2021) Harini Narayanan et al.   JOURNAL OF CHROMATOGRAPHY A

Hybrid Models Based on Machine Learning and an Increasing Degree of Process Knowledge: Application to Capture Chromatographic Step

(2021) Harini Narayanan et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Machine Learning in Chemical Engineering: Strengths, Weaknesses, Opportunities, and Threats

(2021) Maarten R. Dobbelaere et al.   Engineering

Data-centric Engineering: integrating simulation, machine learning and statistics. Challenges and opportunities

(2021) Indranil Pan et al.   CHEMICAL ENGINEERING SCIENCE

Machine Learning in Chemical Engineering: A Perspective

(2021) Artur M. Schweidtmann et al.   CHEMIE INGENIEUR TECHNIK

Chromatographic studies of n-Propyl Propionate, Part II: Synthesis in a fixed bed adsorptive reactor, modelling and uncertainties determination

(2019) Idelfonso B.R. Nogueira et al.   COMPUTERS & CHEMICAL ENGINEERING

Chromatographic studies of n-Propyl Propionate: adsorption equilibrium, modelling and uncertainties determination

(2018) Idelfonso B.R. Nogueira et al.   COMPUTERS & CHEMICAL ENGINEERING

Synthesis of the Biofuel Additive 1,1-Diethoxybutane in a Fixed-Bed Column with Amberlyst-15 Wet

(2016) Maria João Regufe et al.   CHEMICAL ENGINEERING & TECHNOLOGY

Synthesis of butyl acrylate in a fixed-bed adsorptive reactor over Amberlyst 15

(2014) Dânia S. M. Constantino et al.   AICHE JOURNAL

Sorption enhanced reactive process for the synthesis of glycerol ethyl acetal

(2014) Rui P.V. Faria et al.   CHEMICAL ENGINEERING JOURNAL