Computers & Chemical Engineering

Article	Citations
A review On reinforcement learning: Introduction and applications in industrial process control	265
Process systems engineering – The generation next?	134
A review on superstructure optimization approaches in process system engineering	117
Recent trends on hybrid modeling for Industry 4.0	115
Combining machine learning and process engineering physics towards enhanced accuracy and explainability of data-driven models	105
Using hydrogen and ammonia for renewable energy storage: A geographically comprehensive techno-economic study	96
A deep reinforcement learning approach for chemical production scheduling	95
Green hydrogen for industrial sector decarbonization: Costs and impacts on hydrogen economy in qatar	83
Crude oil price prediction: A comparison between AdaBoost-LSTM and AdaBoost-GRU for improving forecasting performance	83
An analysis of process fault diagnosis methods from safety perspectives	77
Recent developments on sewage sludge pyrolysis and its kinetics: Resources recovery, thermogravimetric platforms, and innovative prospects	75
A review on robust M-estimators for regression analysis	75
Stochastic data-driven model predictive control using gaussian processes	72
Fault detection and identification using Bayesian recurrent neural networks	69
Deep learning and knowledge-based methods for computer-aided molecular design—toward a unified approach: State-of-the-art and future directions	67
Reinforcement learning based optimal control of batch processes using Monte-Carlo deep deterministic policy gradient with phase segmentation	66
LDA-based deep transfer learning for fault diagnosis in industrial chemical processes	59
Considerations, challenges and opportunities when developing data-driven models for process manufacturing systems	58
Transfer learning for process fault diagnosis: Knowledge transfer from simulation to physical processes	58
Air catalytic biomass (PKS) gasification in a fixed-bed downdraft gasifier using waste bottom ash as catalyst with NARX neural network modelling	50
Molecular insights through computational modeling of methylene blue adsorption onto low-cost adsorbents derived from natural materials: A multi-model's approach	48
Real-time optimization using reinforcement learning	47
Hybrid Modeling in the Era of Smart Manufacturing	45
Performance prediction of trace metals and cod in wastewater treatment using artificial neural network	45
Reinforcement learning approach to autonomous PID tuning	43

Surrogate-based optimization for mixed-integer nonlinear problems	43
Feature engineering in big data analytics for IoT-enabled smart manufacturing – Comparison between deep learning and statistical learning	43
Self-adaptive deep learning for multimode process monitoring	42
Perspectives on the integration between first-principles and data-driven modeling	41
A tutorial review of neural network modeling approaches for model predictive control	40
Numerical simulation of natural convection and boil-off in a small size pressurized LNG storage tank	40
Power-to-X: A review and perspective	40
Dynamic latent variable regression for inferential sensor modeling and monitoring	39
Optimization-based approach for CO2 utilization in carbon capture, utilization and storage supply chain	38
Integrating deep learning models and multiparametric programming	38
On-line classification of coal combustion quality using nonlinear SVM for improved neural network NOx emission rate prediction	37
Risk-based fault prediction of chemical processes using operable adaptive sparse identification of systems (OASIS)	37
An extended Tennessee Eastman simulation dataset for fault-detection and decision support systems	37
Sustainable wastewater treatment plants design through multiobjective optimization	36
Fast approximate learning-based multistage nonlinear model predictive control using Gaussian processes and deep neural networks	36
Modeling and simulation for design and analysis of membrane-based separation processes	36
The water-energy-food-land nexus at the sugarcane-to-bioenergy supply chain: A sustainable network design model	35
Hybrid machine learning assisted modelling framework for particle processes	35
Biomass waste-to-energy supply chain optimization with mobile production modules	35
Quantum computing assisted deep learning for fault detection and diagnosis in industrial process systems	35
Managing uncertainty in data-driven simulation-based optimization	34
Multi objective optimization of MSF and MSF-TVC desalination systems with using the surplus low-pressure steam (an energy, exergy and economic analysis)	34
Dynamic assessment of control room operator's cognitive workload using Electroencephalography (EEG)	33
Blast furnace hot metal temperature and silicon content prediction using soft sensor based on fuzzy C-means and exogenous nonlinear autoregressive models	32
Design of a hybrid mechanistic/Gaussian process model to predict full-scale wastewater treatment plant effluent	31
Multiscale modeling and control of pulp digester under fiber-to-fiber heterogeneity	31
Operational safety assessment of offshore pipeline with multiple MIC defects	31
Novel approaches for geospatial risk analytics in the energy–water–food nexus using an EWF nexus node	31
Performance analysis of waste-to-energy technologies for sustainable energy generation in integrated supply chains	30
Challenges and opportunities in carbon capture, utilization and storage: A process systems engineering perspective	30
A simplified math approach to predict ICU beds and mortality rate for hospital emergency planning under Covid-19 pandemic	30
Prediction of methane hydrate formation conditions in salt water using machine learning algorithms	30
One step forward for smart chemical process fault detection and diagnosis	30
Rigorous simulation, energy and environmental analysis of an actual baseload LNG supply chain	29
Environmental impacts of the future German energy system from integrated energy systems optimization and dynamic life cycle assessment	29
Multiscale modeling of dendrite formation in lithium-ion batteries	29
A hybrid modeling approach integrating first-principles knowledge with statistical methods for fault detection in HVAC systems	29
A framework for supply chain optimization for modular manufacturing with production feasibility analysis	28
Operation optimization of a cryogenic NGL recovery unit using deep learning based surrogate modeling	28
Stochastic optimization model for coordinated operation of natural gas and electricity networks	28
Modeling phosphorous dynamics in a wastewater treatment process using Bayesian optimized LSTM	28
Comparative analysis of conventional steam methane reforming and PdAu membrane reactor for the hydrogen production	27
Detection and root cause analysis of multiple plant-wide oscillations using multivariate nonlinear chirp mode decomposition and multivariate Granger causality	27
Optimization of a hydrogen supply chain network design under demand uncertainty by multi-objective genetic algorithms	27
Novel resilient-sustainable strategies for second-generation biofuel network design considering Neem and Eruca Sativa under hybrid stochastic fuzzy robust approach	27
Fouling control and modeling in reverse osmosis for seawater desalination: A review	27
HY-POP: Hyperparameter optimization of machine learning models through parametric programming	27
Model-based reinforcement learning and predictive control for two-stage optimal control of fed-batch bioreactor	27
Performance evaluation and boron rejection in a SWRO system under variable operating conditions	27
Machine-learning-based simulation and fed-batch control of cyanobacterial-phycocyanin production in Plectonema by artificial neural network and deep reinforcement learning	26

A just-in-time modeling approach for multimode soft sensor based on Gaussian mixture variational autoencoder	26
Multimode process monitoring based on fault dependent variable selection and moving window-negative log likelihood probability	26
Performance modeling of Allam cycle integrated with a cryogenic air separation process	26
Optimal design of a hybrid renewable energy system with grid connection and comparison of techno-economic performances with an off-grid system: A case study of West China	26
Topological data analysis: Concepts, computation, and applications in chemical engineering	26
Designing and planning the downstream oil supply chain under uncertainty using a fuzzy programming approach	26
Improved design of heat-pump extractive distillation based on the process optimization and multi-criteria sustainability analysis	26
Explainability: Relevance based dynamic deep learning algorithm for fault detection and diagnosis in chemical processes	26
A hybrid dynamic model for the prediction of molten iron and slag quality indices of a large-scale blast furnace	25
Deeppipe: a customized generative model for estimations of liquid pipeline leakage parameters	25
Bayesian optimization with reference models: A case study in MPC for HVAC central plants	25
Real-Time optimization as a feedback control problem – A review	25
Fault detection and diagnosis for reactive distillation based on convolutional neural network	25
Development of process safety knowledge graph: A Case study on delayed coking process	25
Design optimization of shell and tube heat exchangers sizing with heat transfer enhancement	25
Subsidised water symbiosis of eco-industrial parks: A multi-stage game theory approach	25
ENTMOOT: A framework for optimization over ensemble tree models	25
Energy and exergy analysis of poly-generation system of hydrogen and electricity via coal partial gasification	25
Water planning framework for alfalfa fields using treated wastewater fertigation in Qatar: An energy-water-food nexus approach	25
Sustainable energy-water-food nexus integration and optimisation in eco-industrial parks	24
Optimal operational strategy for a vanadium redox flow battery	24
Data-driven process monitoring and fault analysis of reformer units in hydrogen plants: Industrial application and perspectives	24
Importance of pressure-selection in pressure-swing distillation	24
Searching for optimal process routes: A reinforcement learning approach	24
Smart process analytics for predictive modeling	24
Immersive technologies for the training of operators in the process industry: A Systematic Literature Review	24
Optimization of CAR T-cell therapies supply chains	24
Estimating technical efficiency of petroleum refineries using DEA and tobit model: An India perspective	24
Cyber-attack detection and resilient operation of nonlinear processes under economic model predictive control	24
Industrial, large-scale model predictive control with structured neural networks	24
Synergising stoichiometric modelling with artificial neural networks to predict antibody glycosylation patterns in Chinese hamster ovary cells	23
Integrating dynamic slow feature analysis with neural networks for enhancing soft sensor performance	23
Optimal design of the water-energy-food nexus for rural communities	23
Multi-objective transient peak shaving optimization of a gas pipeline system under demand uncertainty	23
Integrated design of biopharmaceutical manufacturing processes: Operation modes and process configurations for monoclonal antibody production	23
Control and soft sensing strategies for a wastewater treatment plant using a neuro-genetic approach	23
Optimization approaches to design water-energy-food nexus: A litterature review	23
Modeling and multi-objective optimization of integrated MED–TVC desalination system and gas power plant for waste heat harvesting	23
Economic and environmental optimization for a biogas supply Chain: A CVaR approach applied to uncertainty of biomass and biogas demand	23
Hidden representations in deep neural networks: Part 2. Regression problems	23
The Euler characteristic: A general topological descriptor for complex data	23
Transfer learning for end-product quality prediction of batch processes using domain-adaption joint-Y PLS	23
Reducing chemical oxygen demand from low strength wastewater: A novel application of fuzzy logic based simulation in MATLAB	22
A novel fault detection and diagnosis approach based on orthogonal autoencoders	22
Investigation of the factors affecting reverse osmosis membrane performance using machine-learning techniques	22
Multiclass data classification using fault detection-based techniques	22
Using ATR-FTIR spectra and convolutional neural networks for characterizing mixed plastic waste	22
Development of a digital twin for a flexible air separation unit using a pressure-driven simulation approach	22
Real-time optimization meets Bayesian optimization and derivative-free optimization: A tale of modifier adaptation	22
Analysis of an industrial adsorption process based on ammonia chemisorption: Modeling and simulation	22
Decentralized Decision System for Closed-Loop Supply Chain: A Bi-Level Multi-Objective Risk-Based Robust Optimization Approach	22
A two-phase sequential approach to design bioenergy supply chains under uncertainty and social concerns	21
Data-driven fault diagnosis for chemical processes using transfer entropy and graphical lasso	21
A novel unsupervised approach for batch process monitoring using deep learning	21
Forecasting heterogeneous municipal solid waste generation via Bayesian-optimised neural network with ensemble learning for improved generalisation	21
An integrated framework for plant data-driven process modeling using deep-learning with Monte-Carlo simulations	21
Design of control framework based on deep reinforcement learning and Monte-Carlo sampling in downstream separation	21
Twin actor twin delayed deep deterministic policy gradient (TATD3) learning for batch process control	21
Data-driven robust optimization for crude oil blending under uncertainty	20
ALVEN: Algebraic learning via elastic net for static and dynamic nonlinear model identification	20
Retrospective comparison of several typical linear dynamic latent variable models for industrial process monitoring	20
Data-driven optimization of mixed-integer bi-level multi-follower integrated planning and scheduling problems under demand uncertainty	20
Modular modeling of electrochemical reactors: Comparison of CO2-electolyzers	20
Multi-scale integration for enhanced resilience of sustainable energy supply chains: Perspectives and challenges	20
Modeling biogas production from anaerobic wastewater treatment plants using radial basis function networks and differential evolution	20
Cost-optimal pathways towards net-zero chemicals and plastics based on a circular carbon economy	20
Learning from major accidents: A machine learning approach	20
Algorithms with state estimation in linear and nonlinear model predictive control	20
Linking reaction mechanisms and quantum chemistry: An ontological approach	20
Optimal utilization of natural gas pipeline storage capacity under future supply uncertainty	20
Deep reinforcement learning control of hydraulic fracturing	19
CrystalGPT: Enhancing system-to-system transferability in crystallization prediction and control using time-series-transformers	19
Adaptive system identification of industrial ethylene splitter: A comparison of subspace identification and artificial neural networks	19
Constrained model-free reinforcement learning for process optimization	19
Dynamic control analysis of eco-efficient double side-stream ternary extractive distillation process	19
Multiperiod optimization of heat exchanger networks with integrated thermodynamic cycles and thermal storages	19
Performance-oriented model learning for control via multi-objective Bayesian optimization	19
Sustainable planning in sugar-bioethanol supply chain under deep uncertainty: A case study of South African sugarcane industry	19
A hybrid optimization approach to analyze the risk-constrained operation of a residential hybrid energy system incorporating responsive loads	19
A Novel Matheuristic based on bi-level optimization for the multi-Objective design of hydrogen supply chains	19

COMANDO: A Next-Generation Open-Source Framework for Energy Systems Optimization	19
Dynamic analysis and linear model predictive control for operational flexibility of post-combustion CO2 capture processes	19
Safe chance constrained reinforcement learning for batch process control	19
Robust data reconciliation in chemical reactors	18
Multi-objective optimization and comparison of the entrainer-assisted pressure-swing distillation and extractive distillation separation sequences for separating a pressure-insensitive binary azeotrop	18
Deterministic global superstructure-based optimization of an organic Rankine cycle	18
Retrosynthesis prediction using grammar-based neural machine translation: An information-theoretic approach	18
PharmaPy: An object-oriented tool for the development of hybrid pharmaceutical flowsheets	18
Integration of crude-oil scheduling and refinery planning by Lagrangean Decomposition	18
COBALT: COnstrained Bayesian optimizAtion of computationaLly expensive grey-box models exploiting derivaTive information	18
Attention-based recurrent neural network for multistep-ahead prediction of process performance	18
Two-stage distributionally robust optimization for maritime inventory routing	18
Kinetic Monte Carlo modeling of the equilibrium-based size control of CsPbBr3 perovskite quantum dots in strongly confined regime	18
Optimal design and operation of refinery hydrogen systems under multi-scale uncertainties	17
A comparative study of multi-objective optimization methodologies for molecular and process design	17
Graph neural networks for temperature-dependent activity coefficient prediction of solutes in ionic liquids	17
Actor-critic reinforcement learning to estimate the optimal operating conditions of the hydrocracking process	17
Approximate moving horizon estimation and robust nonlinear model predictive control via deep learning	17
A data-driven optimization model for coagulant dosage decision in industrial wastewater treatment	17
Feature selection-based machine learning modeling for distributed model predictive control of nonlinear processes	17
AI-ML applications in bioprocessing: ML as an enabler of real time quality prediction in continuous manufacturing of mAbs	17
Optimal renewable energy integration into the process industry using multi-energy hub approach with economic and environmental considerations: Refinery-wide case study	17
A Smart Contract-based agent marketplace for the J-Park Simulator - a knowledge graph for the process industry	17
Architecture model proposal of innovative intelligent manufacturing in the chemical industry based on multi-scale integration and key technologies	17
Semi-supervised process fault classification based on convolutional ladder network with local and global feature fusion	17
Optimal design of a cooperated energy storage system to balance intermittent renewable energy and fluctuating demands of hydrogen and oxygen in refineries	17
A general deep hybrid model for bioreactor systems: Combining first principles with deep neural networks	17
Design and comparison of conventional and side-stream extractive distillation sequences for separating the methanol-toluene binary azeotrope with intermediate boiling entrainer	17
Forty years of computers & chemical engineering: A bibliometric analysis	17
A multi-objective optimization of the integrated copper-chlorine cycle for hydrogen production	17
CFD analysis and scale up of a baffled membrane reactor for hydrogen production by steam methane reforming	17
Machine learning aided multi-objective optimization and multi-criteria decision making: Framework and two applications in chemical engineering	17
Sparse-identification-based model predictive control of nonlinear two-time-scale processes	17
Optimal control in chemical engineering: Past, present and future	17
A comparative study on Aspen Hysys interconnection methodologies	17
A robust optimization model for tactical planning of the forest-based biomass supply chain for syngas production	17
Deep learning for full-feature X-ray microcomputed tomography segmentation of proton electron membrane fuel cells	17
Development of a machine learning-based soft sensor for an oil refinery’s distillation column	17
eMoM: Exact method of moments—Nucleation and size dependent growth of nanoparticles	16
A hierarchical constrained reinforcement learning for optimization of bitumen recovery rate in a primary separation vessel	16
Large-scale selective maintenance optimization using bathtub-shaped failure rates	16
Understanding chemical production processes by using PLS path model parameters as soft sensors	16
Power-to-X processes based on PEM water electrolyzers: A review of process integration and flexible operation	16
An indirect approach for singular optimal control problems	16
Multiple model-based control of multi variable continuous microbial fuel cell (CMFC) using machine learning approaches	16
Energy and exergy investigation of two modified single mixed refrigerant processes for natural gas liquefaction	16
Variants of slow feature analysis framework for automatic detection and isolation of multiple oscillations in coupled control loops	16
Autonomous pH control by reinforcement learning for electroplating industry wastewater	16
Dynamic optimization with complementarity constraints: Smoothing for direct shooting	16
Predicting chattering alarms: A machine Learning approach	16
A simulation study on the effect of CO2 injection on the performance of the GTL process	16
Machine learning-based modeling and operation of plasma-enhanced atomic layer deposition of hafnium oxide thin films	16
Decentralized learning of energy optimal production policies using PLC-informed reinforcement learning	16
A generic superstructure modeling and optimization framework on the example of bi-criteria Power-to-Methanol process design	16
Global optimization of large-scale MIQCQPs via cluster decomposition: Application to short-term planning of an integrated refinery-petrochemical complex	15
Stochastic simulation-based superstructure optimization framework for process synthesis and design under uncertainty	15
A review of recent development in numerical simulation of ultrasonic-assisted gas-liquid mass transfer process	15
Municipal solid waste supply chain management under an integrated optimization of sustainability targets	15
Data-driven early warning model for screenout scenarios in shale gas fracturing operation	15
Stochastic short-term integrated electricity procurement and production scheduling for a large consumer	15
Multiscale computational fluid dynamics modeling and reactor design of plasma-enhanced atomic layer deposition	15
A quantitative and holistic circular economy assessment framework at the micro level	15
Cybersecurity in process control, operations, and supply chain	15
Soft sensor design using transductive moving window learner	15
Techno-economic assessment of carbonate melt flue gas desulfurization process	15
Adaptive multi-model predictive control applied to continuous stirred tank reactor	15
A stochastic approach for integrated production and distribution planning in dairy supply chains	15
Finding the best operating condition in a novel process for explosive waste incineration using fluidized bed reactors	15
Water desalination by forward osmosis: Dynamic performance assessment and experimental validation using MgCl2 and NaCl as draw solutes	15
Predictive analytics in the petrochemical industry: Research Octane Number (RON) forecasting and analysis in an industrial catalytic reforming unit	15
Physics-informed recurrent neural networks and hyper-parameter optimization for dynamic process systems	15
Long-term hybrid prediction method based on multiscale decomposition and granular computing for oxygen supply network	15
Integration of design and control for industrial-scale applications under uncertainty: a trust region approach	15
A new graphical approach for simultaneous targeting and design of mass exchange networks	15
Adaptive disturbance rejection model predictive control and its application in a selective catalytic reduction denitrification system	15
Fault detection and diagnosis to enhance safety in digitalized process system	15
Optimal heat exchanger network synthesis by sequential splitting of process streams	14
Comparison of the performance of different metaheuristic methods for the optimization of shell-and-tube heat exchangers	14
Conceptualising multi-scale thermodynamics within the energy-water-food nexus: Progress towards resource and waste management	14
A unifying modeling abstraction for infinite-dimensional optimization	14
Surrogate modeling for fast uncertainty quantification: Application to 2D population balance models	14
Flexibility assessment of a biorefinery distillation train: Optimal design under uncertain conditions	14
Learning from flowsheets: A generative transformer model for autocompletion of flowsheets	14
Minimisation of energy consumption via optimisation of a simple hybrid system of multi effect distillation and permeate reprocessing reverse osmosis processes for seawater desalination	14
Reinforcement learning of adaptive online rescheduling timing and computing time allocation	14
Computationally efficient optimization models for preliminary distillation column design and separation energy targeting	14
Accounting for dynamics in flexible process design: A switchability index	14
Handling noisy data in sparse model identification using subsampling and co-teaching	14
Integration of process knowledge and statistical learning for the Dow data challenge problem	14
A reactive-iterative optimization algorithm for scheduling of air separation units under uncertainty in electricity prices	14
On the carbon cycle impact of combustion of harvested plant biomass vs. fossil carbon resources	14
Refinery-wide planning operations under uncertainty via robust optimization approach coupled with global optimization	14
Calculation of solid-vapor equilibria for cryogenic carbon capture	14
Computational fluid dynamics-based in-situ sensor analytics of direct metal laser solidification process using machine learning	14
Refinery production planning optimization under crude oil quality uncertainty	14