Investigating amplitude amplification in optimization-based control for a continuous stirred tank reactor

2024-9-1

Evaluation of carbon capture technologies in the oil and gas industry using a socio-technical systems perspective-based decision support system under interval type-2 trapezoidal fuzzy set

2024-9-1

Machine learning-based predictive control of an electrically-heated steam methane reforming process

2024-9-1

Model-based catalyst screening and optimal experimental design for the oxidative coupling of methane

2024-9-1

Rheological behavior predictions of non-Newtonian nanofluids via correlations and artificial neural network for thermal applications

2024-9-1

Modeling of CI engine performance and emission parameters using artificial neural network powered by catalytic co-pyrolytic renewable fuel

2024-9-1

CFD modeling of spray drying of fresh whey: influence of inlet air temperature on drying, fluid dynamics, and performance indicators

2024-9-1

BibMon: An open source Python package for process monitoring, soft sensing, and fault diagnosis

2024-9-1

Application of Multi-Objective Neural Network Algorithm in Industrial Polymerization Reactors for Reducing Energy Cost and Maximising Productivity

2024-9-1

Equilibrium Modelling of Steam Gasification of PKS System and CO2 Sorption Using CaO: A Digitalized Parametric and Techno-Economic Analysis

2024-9-1

Optimized structure design for binary particle mixing in rotating drums using a combined DEM and gaussian process-based model

2024-9-1

Computational Fluid Dynamics (CFD)- Deep Neural Network (DNN) Model to Predict Hydrodynamic Parameters in Rectangular and Cylindrical Bubble Columns

2024-9-1

Machine learning-enhanced optimal catalyst selection for water-gas shift reaction

2024-9-1

Flow regime transition maps and pressure loss prediction of gas, oil and water three-phase flow in the vertical riser downstream 90° bend using data driven approach

2024-9-1

Efficient Chemical Equilibria Calculation by Artificial Neural Networks for Ammonia Cracking and Synthesis

2024-9-1

Predicting soot formation in fossil fuels: A comparative study of regression and machine learning models

2024-8-24

Parallelizing process model integration for model predictive control through oracle design and analysis for a Grover’s algorithm-inspired optimization strategy

2024-8-1

Modelling and verification of the nickel electroforming process of a mechanical vane fit for Industry 4.0

2024-8-1

Comparative studies of machine learning models for predicting higher heating values of biomass

2024-6-29

The enabling technologies for digitalization in the chemical process industry

2024-6-5

Fault detection using Machine Learning based Dynamic ICA-Distributed CCA: Application to Industrial Chemical Process

2024-6-1

OpenCrystalData: An open-access particle image database to facilitate learning, experimentation, and development of image analysis models for crystallization processes.

2024-6-1

Responsible Research and Innovation and Tertiary Education in Chemistry and Chemical Engineering

2024-6-1

Improved Fault Detection and Diagnosis Using Graph Auto Encoder and Attention-based Graph Convolution Networks

2024-6-1

Editorial: Special issue on emerging stars in digital chemical engineering

2024-6-1

Traveling of Multiple Salesmen to Dynamically Changing Locations for Satisfying Multiple Goals

2024-6-1

Introducing process simulation as an alternative to laboratory session in undergraduate Chemical Engineering Thermodynamics course: A case study from Sunway University Malaysia

2024-6-1

The importance of process intensification in undergraduate chemical engineering education

2024-6-1

Responsible use of Generative AI in chemical engineering

2024-6-1

Comparison of autoencoder architectures for fault detection in industrial processes

2024-5-31

Teaching classical machine learning as a graduate-level course in chemical engineering: An algorithmic approach

2024-5-31

Salicylic acid solubility prediction in different solvents based on machine learning algorithms

2024-5-27

Artificial Intelligence – Human Intelligence Conflict and its Impact on Process System Safety

2024-4-5

Modeling and Evaluation of the Permeate volume in membrane desalination processes using machine-learning techniques

2024-4-1

Estimation-based model predictive control of an electrically-heated steam methane reforming process

2024-4-1

Graph Neural Network for domain segmentation to predict regions of non-ideal mixing in two-dimensional baffle flow systems

2024-4-1

Virtual reality-based bioreactor digital twin for operator training

2024-3-26

Design of microfluidic chromatographs through reinforcement learning

2024-3-1

Investigating an amplitude amplification-based optimization algorithm for model predictive control

2024-3-1

Model predictive control of an electrically-heated steam methane reformer

2024-3-1

A review and perspective on hybrid modeling methodologies

2024-3-1

Predictive models for upstream mammalian cell culture development - A review

2024-3-1

Multiscale computational fluid dynamics modeling of an area-selective atomic layer deposition process using a discrete feed method

2024-3-1

-30°C cold start optimization of PEMFC based on a data-driven surrogate model and multi-objective optimization algorithm

2024-3-1

Corrigendum to ‘Ammonia-based green corridors for sustainable maritime transportation’ [Digital Chemical Engineering 6 (2023) 100082]

2024-3-1

Experiences With Enhancing Data Sharing In A Large Disciplinary Engineering Journal

2024-3-1

A graph embedding based fault detection framework for process systems with multi-variate time-series datasets

2024-3-1

Robust reduced-order machine learning modeling of high-dimensional nonlinear processes using noisy data

2024-2-1

Integrating transfer learning within data-driven soft sensor design to accelerate product quality control

2024-1-26

Adaptive digital twins for energy-intensive industries and their local communities

2024-1-6