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Andrés Carranza Abaíd
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Analysis and selection of optimal solvent-based technologies for biogas upgrading
A Carranza-Abaid, RR Wanderley, HK Knuutila, JP Jakobsen
Fuel 303, 121327, 2021
382021
Surrogate modelling of VLE: integrating machine learning with thermodynamic constraints
A Carranza-Abaid, HF Svendsen, JP Jakobsen
Chemical Engineering Science: X 8, 100080, 2020
142020
Thermodynamically consistent vapor-liquid equilibrium modelling with artificial neural networks
A Carranza-Abaid, HF Svendsen, JP Jakobsen
Fluid Phase Equilibria 564, 113597, 2023
102023
A Petlyuk distillation column dynamic analysis: Hysteresis and bifurcations
A Carranza-Abaíd, R González-García
Chemical Engineering and Processing-Process Intensification 149, 107843, 2020
52020
Neural network programming: Integrating first principles into machine learning models
A Carranza-Abaid, JP Jakobsen
Computers & Chemical Engineering 163, 107858, 2022
42022
A non-autonomous relativistic frame of reference for unit operation design
A Carranza-Abaid, JP Jakobsen
Computer Aided Chemical Engineering 48, 151-156, 2020
32020
A computationally efficient formulation of the governing equations for unit operation design
A Carranza-Abaid, JP Jakobsen
Computers & Chemical Engineering 154, 107500, 2021
12021
Neural Network Programming: Integrating First Principles into Machine Learning Models
AC Abaid
NTNU, 2022
2022
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