• Issue

    The Canadian Journal of Chemical Engineering: Volume 103, Issue 3

    981-1460
    March 2025
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ISSUE INFORMATION

Free Access

Issue Information

  • Pages: 981-982
  • First Published: 03 February 2025

ISSUE HIGHLIGHTS

Issue Highlights

  • Pages: 983
  • First Published: 03 February 2025

ARTIFICIAL INTELLIGENCE + MACHINE LEARNING APPLICATIONS IN CHEMICAL ENGINEERING SPECIAL ISSUE SECTION

Editor's Choice

Free to Read

Preface to the special issue section: Artificial intelligence and machine learning applications in chemical engineering

Simant Upreti, 
  • Pages: 984-985
  • First Published: 09 December 2024

Reliable modelling of the sulphur properties to calculate the process parameters of the Claus sulphur recovery plant

Mohammad M. Ghiasi,  Sohrab Zendehboudi,  Amir H. Mohammadi,  Mahdi Nikkhahi,  Ali Lohi,  Ioannis Chatzis, 
  • Pages: 986-1003
  • First Published: 17 December 2024
Open Access

Artificial intelligence and machine learning at various stages and scales of process systems engineering

Karthik Srinivasan,  Anjana Puliyanda,  Devavrat Thosar,  Abhijit Bhakte,  Kuldeep Singh,  Prince Addo,  Rajagopalan Srinivasan,  Vinay Prasad, 
  • Pages: 1004-1035
  • First Published: 06 November 2024
Open Access

Assuring optimality in surrogate-based optimization: A novel theorem and its practical implementation in pressure swing adsorption optimization

Carine Menezes Rebello,  Erbet Almeida Costa,  Antonio Santos Sánchez,  Fredy Vides,  Idelfonso B. R. Nogueira, 
  • Pages: 1036-1059
  • First Published: 24 September 2024
Open Access

The use of artificial intelligence in liquid crystal applications: A review

Sarah Chattha,  Philip K. Chan,  Simant R. Upreti, 
  • Pages: 1060-1082
  • First Published: 14 August 2024

Molecular simulations and deep neural networks-based interpretable machine learning modelling of reverse adsorptive MOFs for ethane/ethylene separation

Khushboo Yadava,  Shrey Srivastava,  Ashutosh Yadav, 
  • Pages: 1083-1098
  • First Published: 20 August 2024
Open Access

Integrating autoencoder with Koopman operator to design a linear data-driven model predictive controller

Xiaonian Wang,  Sheel Ayachi,  Brandon Corbett,  Prashant Mhaskar, 
  • Pages: 1099-1111
  • First Published: 07 August 2024
Integrating autoencoder with Koopman operator to design a linear data-driven model predictive controller

In this work we develop a data-driven modelling approach which integrates an autoencoder-like neural network and dynamic mode decomposition (DMD) methods, to result in a nonlinear modelling technique. In addition, we develop a quadratic programming based model predictive controller (MPC) for the proposed model and implement an observer using autoencoder to separate and utilize linear part of model.

Robust optimization of cascaded MSMPR crystallization unit using unsupervised machine learning

Ravi Kiran Inapakurthi,  Kishalay Mitra, 
  • Pages: 1112-1121
  • First Published: 29 July 2024
Open Access

Data-driven nonlinear state observation for controlled systems: A kernel method and its analysis

Moritz Woelk,  Wentao Tang, 
  • Pages: 1122-1138
  • First Published: 08 July 2024

All-nonlinear static-dynamic neural networks versus Bayesian machine learning for data-driven modelling of chemical processes

Angan Mukherjee,  Samuel Adeyemo,  Debangsu Bhattacharyya, 
  • Pages: 1139-1154
  • First Published: 24 June 2024

Effective approach to assess higher heating value of biomass from ultimate and proximate analysis

Mohammad M. Ghiasi,  Omid Mohammadzadeh,  Sohrab Zendehboudi,  Hedia Fgaier, 
  • Pages: 1155-1168
  • First Published: 21 May 2024
Effective approach to assess higher heating value of biomass from ultimate and proximate analysis

Application of artificial neural networks and Langmuir and Freundlich isotherm models to the removal of textile dye using biosorbents: A comparative study among methodologies

Gustavo Petroli,  Vitória Brocardo de Leon,  Michele Di Domenico,  Fernanda Batista de Souza,  Claiton Zanini Brusamarello, 
  • Pages: 1169-1182
  • First Published: 14 April 2024
Application of artificial neural networks and Langmuir and Freundlich isotherm models to the removal of textile dye using biosorbents: A comparative study among methodologies

ANN models displayed good potential to successfully describe the interaction between adsorbate and adsorbent and assess the efficiency of the analyzed biosorbent.

A machine learning approach for modelling and optimization of complex systems: Application to condensate stabilizer plants

Mohammed Alkatheri,  Farzad Hourfar,  Ladan Khoshnevisan,  Hedia Fgaier,  Ali Almansoori,  Ali Elkamel, 
  • Pages: 1183-1212
  • First Published: 18 January 2024

Reconstruction error-based fault detection of time series process data using generative adversarial auto-encoders

Jyoti Rani,  Umang Goswami,  Hariprasad Kodamana,  Prakash Kumar Tamboli, 
  • Pages: 1213-1228
  • First Published: 20 December 2023
Open Access

A new intelligent prediction model using machine learning linked to grey wolf optimizer algorithm for O2/N2 adsorption

Hossein Mashhadimoslem,  Vahid Kermani,  Kourosh Zanganeh,  Ahmed Shafeen,  Ali Elkamel, 
  • Pages: 1229-1245
  • First Published: 10 August 2023
A new intelligent prediction model using machine learning linked to grey wolf optimizer algorithm for O2/N2 adsorption

The schema of the grey wolf optimizer algorithm–multi-layer perceptron algorithm structure for prediction of the O2/N2 adsorption values via different carbon-based adsorbents.

Cybersecurity and process safety synergy: An analytical exploration of cyberattack-induced incidents

He Wen,  Faisal Khan, 
  • Pages: 1246-1257
  • First Published: 24 October 2023

Exploiting the prediction of mass transfer performance in aerated coaxial mixers containing biopolymer solutions using empirical correlations and neural networks

Paloma L. Barros,  Farhad Ein-Mozaffari,  Ali Lohi,  Simant Upreti, 
  • Pages: 1258-1275
  • First Published: 25 October 2023

ARTICLE

BIOTECHNOLOGY, BIOCHEMICAL, AND BIOMEDICAL ENGINEERING

Open Access

Rapid determination of the antimicrobial properties of surfaces using an enzymatic activity surrogate

Shazia Tanvir,  Amandeep Kaur,  William A. Anderson, 
  • Pages: 1276-1284
  • First Published: 30 July 2024

ENVIRONMENT, RENEWABLE RESOURCES, GREEN PROCESSES

Effects of cellulose addition on sodium lignosulfonate pyrolysis: Product distribution and formation pathway

Lichao Ge,  Can Zhao,  Yang Wang,  Zhifu Qi,  Ruikun Wang,  Qianqian Yin,  Yuli Zhang,  Chang Xu, 
  • Pages: 1285-1294
  • First Published: 07 August 2024
Effects of cellulose addition on sodium lignosulfonate pyrolysis: Product distribution and formation pathway

This work proposes the formation mechanism of the main products during the co-pyrolysis process of sodium lignosulfonate and cellulose.

INDUSTRIAL APPLICATIONS OF CHEMICAL ENGINEERING PRINCIPLES

Fuzzy averaging level control for tight product quality control

Aayush Gupta,  Prakhar Srivastava,  Nitin Kaistha, 
  • Pages: 1295-1308
  • First Published: 27 August 2024

NEW MATERIALS, NANOMATERIALS, AND NANOTECHNOLOGY ENGINEERING

Open Access

Impact of raw material on thermo-physical properties of carbon foam

Mohammad Rajab Al-Majali,  Mingcong Zhang,  Yahya T. Al-Majali,  Jason P. Trembly, 
  • Pages: 1309-1318
  • First Published: 13 August 2024

PROCESS CONTROL, SYSTEMS ENGINEERING, AND STATISTICS

Physics-informed neural networks guided modelling and multiobjective optimization of a mAb production process

Md Nasre Alam,  Anurag Anurag,  Neelesh Gangwar,  Manojkumar Ramteke,  Hariprasad Kodamana,  Anurag S. Rathore, 
  • Pages: 1319-1334
  • First Published: 01 August 2024

Stacked dynamic target regularization enhanced autoencoder for soft sensor in industrial processes

Xiaoping Guo,  Xiaofeng Zhao,  Yuan Li, 
  • Pages: 1335-1348
  • First Published: 20 August 2024

A new design of double predictive proportional integral control strategy for first order plus dead time industrial processes

Chonggao Hu,  Yuqiao Hou,  Jianjun Bai,  Hongbo Zou, 
  • Pages: 1349-1362
  • First Published: 01 August 2024

SEPARATION PROCESSES

Open Access

Use of molecular simulation to design modification of a chromium-based MOF for adsorptive removal of inhalation anaesthetic agents

Masoud Haeri-Nejad,  Mladen Eic, 
  • Pages: 1363-1374
  • First Published: 30 August 2024
Open Access

A critical review of membranes made of nanofibres polymeric materials for application of treating oily wastewater

Thamer Diwan,  Mustafa H. Al-Furaiji,  Zaidun N. Abudi,  Mohammed Awad,  Qusay F. Alsalhy, 
  • Pages: 1375-1399
  • First Published: 14 August 2024

TRANSPORT PHENOMENA, FLUID DYNAMICS, AND THERMODYNAMICS

Machine learning and metaheuristics in microfluidic transport characterization and optimization: CFD and experimental study integrated with predictive modelling

Afshin Kouhkord,  Moheb Amirmahani,  Faridoddin Hassani,  Naser Naserifar, 
  • Pages: 1400-1418
  • First Published: 08 August 2024
Machine learning and metaheuristics in microfluidic transport characterization and optimization: CFD and experimental study integrated with predictive modelling

Schematics of the present study methodology: (A) Specified application of the proposed micromixer in infectious disease diagnosis; (B) Proposed framework overview: CFD analysis, database generation, data-driven modelling, and comparative multi-objective optimization; (C) Experimental investigation of the optimum micro-system configuration and validation of the proposed Framework.

Investigation of instability in the dynamic behaviour of a bubble

Qiang Li,  Shaobo Lu,  Jialin Liu,  Mao Lei,  Jiahan Gao,  Weiwei Xu, 
  • Pages: 1419-1432
  • First Published: 07 August 2024
Investigation of instability in the dynamic behaviour of a bubble

Instability in the path and deformation of bubbles.

Predicting three phase (hydrate–liquid–vapour) equilibria of mixed hydrates in guest gas swapping: AI-based approach versus physical modelling

Gauri Shankar Patel,  Amiya K. Jana, 
  • Pages: 1433-1449
  • First Published: 14 August 2024

A study on enhancing oil recovery efficiency through bubble displacement based on microfluidic technology

Fan Xu,  Yujie Jin,  Yiqiang Fan, 
  • Pages: 1450-1460
  • First Published: 14 August 2024