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View article: A large-scale solar-driven direct air capture and utilisation process to produce sustainable aviation fuel
A large-scale solar-driven direct air capture and utilisation process to produce sustainable aviation fuel Open
Renewable energy-powered direct air capture (DAC) combined with CO2 utilisation offers a sustainable decarbonisation strategy for a circular economy. However, current liquid-based DAC (L-DAC) technology relies on natural gas combustion for…
View article: Perspective on artificial intelligence for carbon capture utilization and storage (CCUS) in Petrochemical Industry
Perspective on artificial intelligence for carbon capture utilization and storage (CCUS) in Petrochemical Industry Open
The energy-intensive petrochemical industry contributes 14 % of global industrial emissions. In the face of climate change, there is an urgent need for the petrochemical industry transition to low carbon manufacturing. Deployment of carbon…
View article: A knowledge transfer-based co-evolutionary algorithm for dynamic large-scale crude oil scheduling
A knowledge transfer-based co-evolutionary algorithm for dynamic large-scale crude oil scheduling Open
View article: Digital intelligence enhancing scheduling optimization in process industries: overview and perspectives
Digital intelligence enhancing scheduling optimization in process industries: overview and perspectives Open
View article: A production planning benchmark for real-world refinery-petrochemical complexes
A production planning benchmark for real-world refinery-petrochemical complexes Open
To achieve digital intelligence transformation and carbon neutrality, effective production planning is crucial for integrated refinery-petrochemical complexes. Modern refinery planning relies on advanced optimization techniques, whose deve…
View article: An integrated solution to mitigate climate change through direct air capture and diabatic compressed air energy storage
An integrated solution to mitigate climate change through direct air capture and diabatic compressed air energy storage Open
Direct air capture (DAC) is a technology designed to capture CO2 directly from ambient air for carbon removal, while compressed air energy storage (CAES) involves compressing and storing air for later use in energy generation. However, dia…
View article: Construction of a knowledge graph for framework material enabled by large language models and its application
Construction of a knowledge graph for framework material enabled by large language models and its application Open
Framework materials (FMs) have been extensively investigated with a plethora of literature documenting their unique properties and potential applications. Despite this, a comprehensive knowledge graph for this emerging field has not yet be…
View article: Data-Driven Distributionally Robust Mixed-Integer Control through Lifted Control Policy
Data-Driven Distributionally Robust Mixed-Integer Control through Lifted Control Policy Open
This paper investigates the finite-horizon distributionally robust mixed-integer control (DRMIC) of uncertain linear systems. However, deriving an optimal causal feedback control policy to this DRMIC problem is computationally formidable f…
View article: Adversarial Semantic Augmentation for Training Generative Adversarial Networks under Limited Data
Adversarial Semantic Augmentation for Training Generative Adversarial Networks under Limited Data Open
Generative adversarial networks (GANs) have made remarkable achievements in synthesizing images in recent years. Typically, training GANs requires massive data, and the performance of GANs deteriorates significantly when training data is l…
View article: Towards fairness-aware multi-objective optimization
Towards fairness-aware multi-objective optimization Open
Recent years have seen the rapid development of fairness-aware machine learning in mitigating unfairness or discrimination in decision-making in a wide range of applications. However, much less attention has been paid to the fairness-aware…
View article: Experimental analysis of bionic rotary tillage broken stubble with universal blade
Experimental analysis of bionic rotary tillage broken stubble with universal blade Open
View article: Effects of simplicial centrality on robustness of higher-order multiplex world trade networks
Effects of simplicial centrality on robustness of higher-order multiplex world trade networks Open
World trade networks are exhaustively described by pairwise interactions, and overlook higher-order structure from the outcome of collective interactions at the level of groups of nodes like multilateral trade agreements. To address this l…
View article: Differentiable Distributionally Robust Optimization Layers
Differentiable Distributionally Robust Optimization Layers Open
In recent years, there has been a growing research interest in decision-focused learning, which embeds optimization problems as a layer in learning pipelines and demonstrates a superior performance than the prediction-focused approach. How…
View article: Semantic mask-based two-step approach: a general framework for X-ray diffraction peak search in high-throughput molecular sieve synthetic system
Semantic mask-based two-step approach: a general framework for X-ray diffraction peak search in high-throughput molecular sieve synthetic system Open
X-ray diffraction (XRD) is used for characterizing the crystal structure of molecular sieves after synthetic experiments. However, for a high-throughput molecular sieve synthetic system, the huge amount of data derived from large throughpu…
View article: Inside back cover
Inside back cover Open
View article: Enhancing generalized spectral clustering with embedding Laplacian graph regularization
Enhancing generalized spectral clustering with embedding Laplacian graph regularization Open
An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantl…
View article: Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling
Knowledge-Assisted Dual-Stage Evolutionary Optimization of Large-Scale Crude Oil Scheduling Open
With the scaling up of crude oil scheduling in modern refineries, large-scale crude oil scheduling problems (LSCOSPs) emerge with thousands of binary variables and non-linear constraints, which are challenging to be optimized by traditiona…
View article: Numerical Investigation of Reactive Cracking Flow in a Cracking Coil With 180° U-Bend Coil
Numerical Investigation of Reactive Cracking Flow in a Cracking Coil With 180° U-Bend Coil Open
View article: Data-Driven Source Term Estimation of Hazardous Gas Leakages Under Variable Meteorological Conditions
Data-Driven Source Term Estimation of Hazardous Gas Leakages Under Variable Meteorological Conditions Open
View article: Marangoni-Driven Regional Salt Crystallization for High Salinity Desalination
Marangoni-Driven Regional Salt Crystallization for High Salinity Desalination Open
View article: An Interpretable Data-Driven Approach for Process Flowsheet Convergence Troubleshooting
An Interpretable Data-Driven Approach for Process Flowsheet Convergence Troubleshooting Open
View article: Reinforcement Learning Based Gasoline Blending Optimization: Achieving More Efficient Nonlinear Online Blending of Fuels
Reinforcement Learning Based Gasoline Blending Optimization: Achieving More Efficient Nonlinear Online Blending of Fuels Open
The online optimization of gasoline blending benefits refinery economies. However, the nonlinear blending mechanism, the oil property fluctuations, and the blending model mismatch bring difficulties to the optimization. To solve the above …
View article: Large-Scale Material and Energy Coupling Systems Optimization for Industrial Refinery with Sustainable Energy Penetration Under Multiple Uncertainties Using Two-Stage Stochastic Programming
Large-Scale Material and Energy Coupling Systems Optimization for Industrial Refinery with Sustainable Energy Penetration Under Multiple Uncertainties Using Two-Stage Stochastic Programming Open
View article: Capturing the Difference between Former and Current Employees' Emotional Attitudes based on the Online Reviews
Capturing the Difference between Former and Current Employees' Emotional Attitudes based on the Online Reviews Open
We take current and former employees as research objects, and analyze the textual and numerical data according to 41,000 anonymous reviews of employees from Amazon, Apple, Microsoft, and Google employees, which is collected from a workplac…
View article: Numerical Investigation of Reactive Cracking Flow in a Cracking Coil with 180° U-Bend Coil
Numerical Investigation of Reactive Cracking Flow in a Cracking Coil with 180° U-Bend Coil Open
View article: Numerical Investigation of Reactive Cracking Flow in a Cracking Coil with 180° U-Bend Coil
Numerical Investigation of Reactive Cracking Flow in a Cracking Coil with 180° U-Bend Coil Open
View article: Chemical Engineering Solution for Carbon Neutrality in Cement Industry: Tailor a Pathway from Inevitable Co2 Emission into Syngas
Chemical Engineering Solution for Carbon Neutrality in Cement Industry: Tailor a Pathway from Inevitable Co2 Emission into Syngas Open
View article: Heat Integration, Simultaneous Structure and Parameter Optimisation, and Techno-Economic Evaluation of Waste Heat Recovery Systems for Petrochemical Industry
Heat Integration, Simultaneous Structure and Parameter Optimisation, and Techno-Economic Evaluation of Waste Heat Recovery Systems for Petrochemical Industry Open
View article: Mathematical Modeling and Robust Multi-Objective Optimization of the Two-Dimensional Benzene Alkylation Reactor with Dry Gas
Mathematical Modeling and Robust Multi-Objective Optimization of the Two-Dimensional Benzene Alkylation Reactor with Dry Gas Open
The benzene alkylation reactor using the dry gas is the most significant equipment in the ethylbenzene manufacturing process. In this paper, a two-dimensional homogeneous model is developed for steady state simulation of the industrial mul…
View article: A Novel Multi-Sensor Data-Driven Approach to Source Term Estimation of Hazardous Gas Leakages in the Chemical Industry
A Novel Multi-Sensor Data-Driven Approach to Source Term Estimation of Hazardous Gas Leakages in the Chemical Industry Open
Source term estimation (STE) is crucial for understanding and addressing hazardous gas leakages in the chemical industry. Most existing methods basically use an atmospheric transport and dispersion (ATD) model to predict the concentrations…