Review

Accepted on 12 Nov 2024

Navigating Industry 4.0 and 5.0: The Role of Hybrid modelling in (Bio)chemical Engineering's Digital Transition

in Computational Methods in Chemical Engineering

Carina L. Gargalo
Alina Anamaria Malanca
Adem R N Aouichaoui
Jakob Huusom
Krist V. Gernaey

Frontiers in Chemical Engineering

doi 10.3389/fceng.2024.1494244

Original Research

Published on 25 Oct 2024

Bioprocess feeding optimization through in silico dynamic experiments and hybrid digital models—a proof of concept

in Computational Methods in Chemical Engineering

Gianmarco Barberi
Christian Giacopuzzi
Pierantonio Facco

Frontiers in Chemical Engineering

doi 10.3389/fceng.2024.1456402

715 views

Perspective

Published on 29 Aug 2024

Generative artificial intelligence in chemical engineering spans multiple scales

in Computational Methods in Chemical Engineering

Benjamin Decardi-Nelson
Abdulelah S. Alshehri
Fengqi You

Frontiers in Chemical Engineering

doi 10.3389/fceng.2024.1458156

1,646 views

Original Research

Published on 12 Jul 2024

A submerged draw down test calibration method for fully-coupled CFD-DEM modelling

in Computational Methods in Chemical Engineering

Jacob G. Wasserfall
Corné J. Coetzee
Chris J. Meyer

Frontiers in Chemical Engineering

doi 10.3389/fceng.2024.1376974

753 views

Brief Research Report

Published on 06 Jun 2024

Matchmaking for industrial symbiosis: a digital tool for the identification, quantification and optimisation of symbiotic potential in industrial ecosystems

in Computational Methods in Chemical Engineering

Christos Makropoulos
Nikolaos-Alexandros Kritikos
Christodoulos Pantazis

Frontiers in Chemical Engineering

doi 10.3389/fceng.2024.1363888

1,545 views

Original Research

Published on 21 May 2024

Systematic conceptual design strategies for the recovery of metals from E-waste

in Computational Methods in Chemical Engineering

Samarth D. Palav
Ana I. Torres
Lorenz T. Biegler

Frontiers in Chemical Engineering

doi 10.3389/fceng.2024.1388456

1,526 views

Editorial

Published on 31 Oct 2023

Editorial: Smart manufacturing: advances and applications of artificial intelligence, machine learning and industrial internet of things in the chemical and biochemical industry

in Computational Methods in Chemical Engineering

Jesus Flores-Cerrillo
Q. Peter He
Jin Wang
Huimin Yu

Frontiers in Chemical Engineering

doi 10.3389/fceng.2023.1309165

1,374 views

Original Research

Published on 16 Oct 2023

Data-driven structural synthesis of supercritical CO2 power cycles

in Computational Methods in Chemical Engineering

Tahar Nabil
Mohamed Noaman
Tatiana Morosuk

Frontiers in Chemical Engineering

doi 10.3389/fceng.2023.1144115

1,332 views

Methods

Published on 07 Aug 2023

Solubilization of inclusion bodies: insights from explainable machine learning approaches

in Computational Methods in Chemical Engineering

Cornelia Walther
Michael C. Martinetz
Anja Friedrich
Anne-Luise Tscheließnig
Martin Voigtmann
Alexander Jung
Cécile Brocard
Erich Bluhmki
Jens Smiatek

Frontiers in Chemical Engineering

doi 10.3389/fceng.2023.1227620

1,570 views
1 citation

Review

Published on 12 Jul 2023

Review of synergy between machine learning and first principles models for asset integrity management

in Computational Methods in Chemical Engineering

Tianxing Cai
Jian Fang
Sharath Daida
Helen H. Lou

Frontiers in Chemical Engineering

doi 10.3389/fceng.2023.1138283

1,838 views

Review

Published on 15 May 2023

Hybrid modeling for biopharmaceutical processes: advantages, opportunities, and implementation

in Computational Methods in Chemical Engineering

Harini Narayanan
Moritz von Stosch
Fabian Feidl
Michael Sokolov
Massimo Morbidelli
Alessandro Butté

Frontiers in Chemical Engineering

doi 10.3389/fceng.2023.1157889

5,180 views
17 citations

Review

Published on 22 Feb 2023

Game theoretic optimisation in process and energy systems engineering: A review

in Computational Methods in Chemical Engineering

Asimina Marousi
Vassilis M. Charitopoulos

Frontiers in Chemical Engineering

doi 10.3389/fceng.2023.1130568

3,189 views
8 citations

Original Research

Published on 10 Jan 2023

Artificial intelligence models for yield efficiency optimization, prediction, and production scalability of essential oil extraction processes from citrus fruit exocarps

in Computational Methods in Chemical Engineering

Sandra E. Fajardo Muñoz
Anthony J. Freire Castro
Michael I. Mejía Garzón
Galo J. Páez Fajardo
Galo J. Páez Gracia

Frontiers in Chemical Engineering

doi 10.3389/fceng.2022.1055744

1,917 views
2 citations

Original Research

Published on 06 Jan 2023

Computational design of quinone electrolytes for redox flow batteries using high-throughput machine learning and theoretical calculations

in Computational Methods in Chemical Engineering

Fei Wang
Jipeng Li
Zheng Liu
Tong Qiu
Jianzhong Wu
Diannan Lu

Frontiers in Chemical Engineering

doi 10.3389/fceng.2022.1086412

2,030 views
2 citations

Original Research

Published on 05 Jan 2023

Assessment of environmental sustainability of nickel required for mobility transition

in Computational Methods in Chemical Engineering

Saeed Rahimpour Golroudbary
Andrzej Kraslawski
Benjamin P. Wilson
Mari Lundström

Frontiers in Chemical Engineering

doi 10.3389/fceng.2022.978842

4,881 views
12 citations

Original Research

Published on 04 Jan 2023

Boost dynamic protocols for producing mammalian biopharmaceuticals with intensified DoE—a practical guide to analyses with OLS and hybrid modeling

in Computational Methods in Chemical Engineering

V. Nold
L. Junghans
B. Bayer
L. Bisgen
M. Duerkop
R. Drerup
B. Presser
T. Schwab
E. Bluhmki
S. Wieschalka

Frontiers in Chemical Engineering

doi 10.3389/fceng.2022.1044245

2,441 views
5 citations

Navigation group

Articles

Navigating Industry 4.0 and 5.0: The Role of Hybrid modelling in (Bio)chemical Engineering's Digital Transition

Bioprocess feeding optimization through in silico dynamic experiments and hybrid digital models—a proof of concept

Generative artificial intelligence in chemical engineering spans multiple scales

A submerged draw down test calibration method for fully-coupled CFD-DEM modelling

Matchmaking for industrial symbiosis: a digital tool for the identification, quantification and optimisation of symbiotic potential in industrial ecosystems

Systematic conceptual design strategies for the recovery of metals from E-waste

Editorial: Smart manufacturing: advances and applications of artificial intelligence, machine learning and industrial internet of things in the chemical and biochemical industry

Data-driven structural synthesis of supercritical CO2 power cycles

Solubilization of inclusion bodies: insights from explainable machine learning approaches

Review of synergy between machine learning and first principles models for asset integrity management

Hybrid modeling for biopharmaceutical processes: advantages, opportunities, and implementation

Game theoretic optimisation in process and energy systems engineering: A review

Artificial intelligence models for yield efficiency optimization, prediction, and production scalability of essential oil extraction processes from citrus fruit exocarps

Computational design of quinone electrolytes for redox flow batteries using high-throughput machine learning and theoretical calculations

Assessment of environmental sustainability of nickel required for mobility transition

Boost dynamic protocols for producing mammalian biopharmaceuticals with intensified DoE—a practical guide to analyses with OLS and hybrid modeling