yusuke1997/dblp-id-title huggingface dataset:
Aromatization of propane: Techno-economic analysis by multiscale "kinetics-to-process" simulation
Modeling of a microreactor for propylene production by the catalytic dehydrogenation of propane
A comparative study of high resolution schemes for solving population balances in crystallization
Data compression and model reduction based approach for kinetic parameter estimation with multiple spectra
Integration of scheduling and control for batch process based on generalized Benders decomposition approach with genetic algorithm
Learning to control inexact Benders decomposition via reinforcement learning
Economic model predictive control for inventory management in supply chains
A leap forward in chemical process design: Introducing an automated framework for integrated AI and CFD simulations
Formulation and MIP-heuristics for the lot sizing and scheduling problem with temporal cleanings
Cost reduction of the wastewater treatment plant operation by MPC based on modified ASM1 with two-step nitrification/denitrification model
Methodology for hyperparameter tuning of deep neural networks for efficient and accurate molecular property prediction
Operational safety assessment of offshore pipeline with multiple MIC defects
Multi-objective Bayesian optimization of chemical reactor design using computational fluid dynamics
Non-stationary data reorganization for weighted wind turbine icing monitoring with Gaussian mixture model
Logic-Based Discrete-Steepest Descent: A solution method for process synthesis Generalized Disjunctive Programs
The Lambert function should be in the engineering mathematical toolbox
Implementation of the waste reduction (WAR) algorithm utilizing flowsheet monitoring
Simulation of the Sour-Compression Unit (SCU) process for CO 2 purification applied to flue gases coming from oxy-combustion cement industries
Optimization approaches to design water-energy-food nexus: A litterature review
Process modelling, simulation and technoeconomic evaluation of crystallisation antisolvents for the continuous pharmaceutical manufacturing of rufinamide
Nonlinear process modelling using echo state networks optimised by covariance matrix adaption evolutionary strategy
Designing a Total Site for an entire lifetime under fluctuating utility prices
A new algorithm for developing dynamic radial basis function neural network models based on genetic algorithms
Feasibility analysis of black-box processes using an adaptive sampling Kriging-based method
A simple method of tuning PID controllers for stable and unstable FOPTD systems
Refinery-wide planning operations under uncertainty via robust optimization approach coupled with global optimization
Combination of multiple neural networks using data fusion techniques for enhanced nonlinear process modelling
High-pressure versus low-pressure auxiliary condensers in distillation vapor recompression
Scientific machine learning for modeling industrial-scale Primary Separation Vessel
Solving crystallization/precipitation population balance models in CADET, part I: Nucleation growth and growth rate dispersion in batch and continuous modes on nonuniform grids
Uncertainty quantification and global sensitivity analysis of complex chemical process using a generalized polynomial chaos approach
Bifurcation analysis for MTBE synthesis in a suspension catalytic distillation column
Differential recurrent neural network based predictive control
Multiple model-based control of multi variable continuous microbial fuel cell (CMFC) using machine learning approaches
Mechanistic modelling of industrial-scale roller compactor 'Freund TF-MINI model'
Techno-economic analysis and process optimization of a PET chemical recycling process based on Bayesian optimization
Simulation-free estimation of reaction propensities in cellular reactions and gene signaling networks
A simple approach to improve the robustness of equation-oriented simulators: Multilinear look-up table interpolators
Data-driven individual and joint chance-constrained optimization via kernel smoothing
Modeling the commodity fluctuations of OPEX terms
Optimal demand response scheduling of an industrial air separation unit using data-driven dynamic models
Improved quadratic cuts for convex mixed-integer nonlinear programs
Scalable multi-objective optimization of industrial purified terephthalic acid (PTA) oxidation process
Modelling and simulation in chemical engineering: Tools for process innovation
Integrated production optimization of oil fields with pressure and routing constraints: The Urucu field
Tight, efficient bounds on the solutions of chemical kinetics models
Bond graphs for the diagnosis of chemical processes
Using mathematical knowledge management to support integrated decision-making in the enterprise
Computationally efficient battery model for microgrid applications using the Chebyshev spectral method
Column profile maps as a tool for synthesizing complex column configurations
A demand bidding model for multi-product industrial plants
A comparative study on the performance of three treatment chamber designs for radio frequency electric field processing
Production scheduling in a steelmaking-continuous casting plant
Control of nano and microchemical systems
A decision support platform for a bio-based supply chain: Application to the region of Lower Saxony and Bremen (Germany)
Metrics for evaluating the forest biorefinery supply chain performance
Robust control of fed-batch high-cell density cultures: a simulation-based assessment
Predictions of CO and NO x emissions from steam cracking furnaces using GRI2.11 detailed reaction mechanism - A CFD investigation
Constrained nonlinear state estimation based on the UKF approach
SePTA - A new numerical tool for simultaneous targeting and design of heat exchanger networks
An N -Enterprise investment game under risk of domino accidents in a chemical cluster: Nash and pareto equilibria
An upper ontology based on ISO 15926
A mathematical programming model for optimal layout considering quantitative risk analysis
A simplified math approach to predict ICU beds and mortality rate for hospital emergency planning under Covid-19 pandemic
Simultaneous solution of process and molecular design problems using an algebraic approach
Multi-model approach based on parametric sensitivities - A heuristic approximation for dynamic optimization of semi-batch processes with parametric uncertainties
Quantum computing based hybrid solution strategies for large-scale discrete-continuous optimization problems
Management of «Systematic Innovation»: A kind of quest for the Holy Grail!
Accelerating multi-dimensional population balance model simulations via a highly scalable framework using GPUs
Hybrid modeling supported development of an industrial small-molecule flow chemistry process
Optimizing spatial clustering for supply chain networks
Frequency-domain parameter estimation of general multi-rate systems
Capacity planning with uncertain endogenous technology learning
Investigation of bio-augmentation of overloaded activated sludge plant operation by computer simulation
A multi-period and multi-regional modeling and optimization approach to energy infrastructure planning at a transient stage: A case study of China
Rapid process refinement for the development of complex solution copolymers
Data predictive control of nonlinear process feature dynamics through latent variable behaviours
Recurrent neural network-based prediction of O-GlcNAcylation sites in mammalian proteins
Strengthening discrete-time scheduling formulations by introducing the concept of campaigns
Source-based discrete and continuous-time formulations for the crude oil pooling problem
Formulating large-scale quantity-quality bilinear data reconciliation problems
Investigation of the factors affecting reverse osmosis membrane performance using machine-learning techniques
Large scale optimization strategies for zone configuration of simulated moving beds
Estimation of parameters of under-damped second order plus dead time processes using relay feedback
Modeling the effect of pigment morphology on the dynamic compression of coating layers using DEM
Kinetic Monte Carlo modeling of multivalent binding of CTB proteins with GM1 receptors
A two-layer optimization method for maintenance task scheduling considering multiple priorities
A novel disjunctive model for the simultaneous optimization and heat integration
Immersive virtual crude distillation unit learning experience: The EYE4EDU project
Optimization of cellulose hydrolysis in a non-ideally mixed reactors
Automated solution for control recipe generation of chemical batch plants
Modeling and simulation of mixing in water-in-oil emulsion flow through a valve-like element using a population balance model
A simultaneous optimization approach for efficiency measures regarding design and operation of industrial energy systems
Computer-aided mixture design using molecule superstructures
Optimizing the design and operation of water networks: Two decomposition approaches
Sparse Bayesian long short-term memory networks for computationally efficient stochastic modeling of plasma etch processes
Framework in PYOMO for the assessment and implementation of (as)NMPC controllers
A comparative study of different CFD-codes for numerical simulation of gas-solid fluidized bed hydrodynamics
Modeling and simulation of unloading operations in petroleum product storage terminals
Effect of feed composition on cryogenic distillation precooling configurations
Subspace-based model identification of a hydrogen plant startup dynamics
Control of batch pulping process using data-driven constrained iterative learning control
A hybrid neural approach to model batch fermentation of "ricotta cheese whey" to ethanol
Optimization of metabolic pathways under stability considerations
Control and soft sensing strategies for a wastewater treatment plant using a neuro-genetic approach
Discerning in vitro pharmacodynamics from OD measurements: A model-based approach
Overcoming modeling and computational complexity challenges in food-energy-water nexus optimization
A Deep Learning-based Framework Towards inverse Green Solvent Design for Extractive Distillation with Multi-index Constraints
Stackelberg-game-based modeling and optimization for supply chain design and operations: A mixed integer bilevel programming framework
PharmaPy: An object-oriented tool for the development of hybrid pharmaceutical flowsheets
Optimization of Petlyuk sequences using a multi objective genetic algorithm with constraints
Data-driven strategies for extractive distillation unit optimization
The effect of model fidelity on real-time optimization performance
Data-driven globalized distributionally robust multi-period location-routing-scheduling model for waste-to-energy supply chain under emissions ambiguity
Reprint of: Optimal decomposition for distributed optimization in nonlinear model predictive control through community detection
Practical application of roller compaction process modeling
Optimal production and maintenance scheduling for a multiproduct batch plant considering degradation
A novel factorial design search to determine realizable constant sets for a multi-mechanism model of mixing sensitive precipitation
Design of bioethanol green supply chain: Comparison between first and second generation biomass concerning economic, environmental and social criteria
Multiscale computational fluid dynamics modeling and reactor design of plasma-enhanced atomic layer deposition
Quality prediction for multi-grade batch process using sparse flexible clustered multi-task learning
Optimal operation and control of heat to power cycles: A new perspective from a systematic plantwide control approach
An adjustable robust optimization approach to scheduling of continuous industrial processes providing interruptible load
Pseudo-transient models for multiscale, multiresolution simulation and optimization of intensified reaction/separation/recycle processes: Framework and a dimethyl ether production case study
Phase behavior of mixtures involving glassy materials
Federated learning based atmospheric source term estimation in urban environments
Fault detection and diagnosis for reactive distillation based on convolutional neural network
Dynamic programming in a heuristically confined state space: a stochastic resource-constrained project scheduling application
Homotopy parameter bounding in increasing the robustness of homotopy continuation methods in multiplicity studies
Dynamic modelling and nonlinear model predictive control of a Fluid Catalytic Cracking Unit
Recent advances on the modeling and optimization of CO 2 capture processes
An integrated approach for modeling and identification of perfusion bioreactors via basis flux modes
Optimal cyclic scheduling of ethylene plants in backup furnace mode with separation capacity constraints
Optimising chromatography strategies of antibody purification processes by mixed integer fractional programming techniques
Towards an efficient integrated CSP production network: sustainability, storage and power-to-X selection, based on social metrics
A software environment for simultaneous dynamic optimization
On anti-aliasing filtering and over-sampling scheme in system identification
Mathematical programming model for the optimal management of carbon intensity indicators in global supply chains
Deep convolutional neural network model based chemical process fault diagnosis
A stochastic programming approach for gas detector placement using CFD-based dispersion simulations
Sensor placement for classifier-based leak localization in water distribution networks using hybrid feature selection
A targeting algorithm for segregated heat integrated water allocation network
Comparison of Eulerian-Lagrangian and Eulerian-Eulerian method for dilute gas-solid flow with side inlet
Bifurcation analysis of nonlinear reaction-diffusion problems using wavelet-based reduction techniques
Immersive technologies for the training of operators in the process industry: A Systematic Literature Review
Digital design of crystalline solids
A unifying framework for optimization-based design of integrated reaction-separation processes
Multimodal hazardous materials risk graph completion: a joint optimization approach with dual channel embedding and generative adversarial network
Data reconciliation of an industrial petrochemical plant case study: Olefin plant (Hot section)
Shift-based methodology for production planning in steel industry
Determining the number of segments for piece-wise linear representation of discrete-time signals
Implementation of Galerkin and moments methods by Gaussian quadrature in advection-diffusion problems with chemical reactions
Sizing of pipeline capacities in processing systems under stochastic operation conditions
Dynamic prediction of interface level using spatial temporal markov random field
Iterative modeling and optimization of biomass production using experimental feedback
Adjoint-based estimation and optimization for column liquid chromatography models
Scheduling optimization under uncertainty - an alternative approach
Research on natural gas pipeline corrosion prediction by integrating extreme gradient boosting and generative adversarial network
Optimal waste reduction and investment planning under uncertainty
A rolling horizon approach for scheduling of multiproduct batch production and maintenance using generalized disjunctive programming models
Centralized and hierarchical scheduling frameworks for copper smelting process
A stochastic approach for the prediction of PSD in crystallization processes: Analytical solution for the asymptotic behavior and parameter estimation
Machine learning in process systems engineering: Challenges and opportunities
Wind farm power optimization using system identification
Optimization with uncertainty - A case study for controller recalibration
A cost-effective retrofit of conventional distillation sequence to dividing-wall prefractionator configuration
Design of plastic waste chemical recycling process considering uncertainty
An interior-point method for efficient solution of block-structured NLP problems using an implicit Schur-complement decomposition
Kinetic modelling of the CO2 capture and utilisation on NiRu-Ca/Al dual function material via parameter estimation
Influence of compressor degradation on optimal operation of a compressor station
Resilience-based explainable reinforcement learning in chemical process safety
Analysis of the stability and controllability of chemical processes
Integrating dynamic slow feature analysis with neural networks for enhancing soft sensor performance
On speeding-up modifier-adaptation schemes for real-time optimization
Solving linear and quadratic programs with an analog circuit
MPC strategies based on the equivalent hydraulic model for the fast charge of commercial Li-ion batteries
Solving least-squares problems in directed networks: A distributed approach
Combining the advantages of discrete- and continuous-time scheduling models: Part 1. Framework and mathematical formulations
Smart manufacturing and energy systems
New batch-centric model for detailed scheduling and inventory management of mesh pipeline networks
Biomass-based integrated gasification combined cycle with post-combustion CO 2 recovery by potassium carbonate: Techno-economic and environmental analysis
A novel framework for flexibility assessment in design spaces defined by a set of affine bounds
Optimal design and scheduling for offshore oil-field development
Multi-operational planning of shale gas pad development
Regional sustainability of food-energy-water nexus considering water stress using multi-objective modeling and optimization
Efficient online model-based design of experiments via parameter subset selection for batch dynamical systems
Reprint of: Big data approach to batch process monitoring: Simultaneous fault detection and diagnosis using nonlinear support vector machine-based feature selection
An inverse method to estimate adsorption kinetics of light hydrocarbons on activated carbon
Smart manufacturing, manufacturing intelligence and demand-dynamic performance
Optimal sensor placement for contamination detection and identification in water distribution networks under demand uncertainty
Linear programming-based scenario reduction using transportation distance
Physics-informed neural networks for state reconstruction of hydrogen energy transportation systems
A reactive-iterative optimization algorithm for scheduling of air separation units under uncertainty in electricity prices
Stochastic optimal control model for natural gas networks
Live and let die - A systems biology view on cell death
A new method of cyclic hoist scheduling for multi-recipe and multi-stage material handling processes
Numerical and computational strategy for pressure-driven steady-state simulation of oilfield production
Reinforcement learning for online adaptation of model predictive controllers: Application to a selective catalytic reduction unit
Integrating quantum and classical computing for multi-energy system optimization using Benders decomposition
Multi-objective inverse design of finned heat sink system with physics-informed neural networks
Dynamic hybrid neural network model of an industrial fed-batch fermentation process to produce foreign protein
Performance assessment of a novel fault diagnosis system based on support vector machines
Optimal model-based aeration control policies in a sequencing batch reactor
Study of the interfacial forces and turbulence models in a bubble column
Process synthesis, design and analysis using a process-group contribution method
A new heuristic for plant-wide schedule coordination problems: The intersection coordination heuristic
Municipal solid waste to liquid transportation fuels - Part I: Mathematical modeling of a municipal solid waste gasifier
An automatic distillation sequence synthesis framework based on a preorder traversal algorithm
Online model-based redesign of experiments with erratic models: A disturbance estimation approach
A domain-specific compiler theory based framework for automated reaction network generation
Modelling and integration of process networks for C4 hydrocarbons
Identification of regulatory mechanisms of the hepatic response to thermal injury
Scheduling of flexible manufacturing plants with redesign options: A MILP-based decomposition algorithm and case studies
Coordinated dual-hormone artificial pancreas with parallel control structure
Sunlight harvesting
Steady-state optimization of biochemical systems by bi-level programming
Process analysis and optimization of continuous pharmaceutical manufacturing using flowsheet models
Using a novel parallel genetic hybrid algorithm to generate and determine new zeolite frameworks
Mathematical simulations of the performance of trickle bed and slurry reactors for methanol synthesis
Centralized-decentralized optimization for refinery scheduling
Integration of a cryogenic ASU within an IGCC process with simultaneous optimization and energy targeting
Modeling and simulation of lithium-ion batteries
A multi-objective robust optimization model to sustainable closed-loop lithium-ion battery supply chain network design under uncertainties
Cluster analysis of crude oils with k-means based on their physicochemical properties
Attention-based recurrent neural network for multistep-ahead prediction of process performance
A Hessian-Free Gradient Flow (HFGF) method for the optimisation of deep learning neural networks
Numerical study of the separation characteristics in a cyclone of different inlet particle concentrations
Managing the trade-offs between financial performance and credit solvency in the optimal design of supply chain networks under economic uncertainty
Towards a sustainable hydrogen economy: Optimisation-based framework for hydrogen infrastructure development
Sensitivity identification enhanced control strategy for nonlinear process systems
A comparative study of a direct discretization and an operator-splitting solver for population balance systems
A partial Granger causality based method for analysis of parameter interactions in bioreactors
Challenges of strategic supply chain planning and modeling
Leaking source localization approach in multi-obstacle scenarios based on CNN and attention mechanism
Fast algorithms for hp-discretized univariate population balance aggregation integrals
Thermodynamics based stability analysis and its use for nonlinear stabilization of the CSTR
Modelling, simulation and control of an industrial, semi-batch, emulsion-polymerization reactor
Efficient numerical schemes for population balance models
Minimum membrane area of an emulsion pertraction process for Cr(VI) removal and recovery
Numerical investigation of erosion of tube sheet and tubes of a shell and tube heat exchanger
Dynamics of sessile droplet evaporation: A comparison of the spine and the elliptic mesh generation methods
First principles pharmacokinetic modeling: A quantitative study on Cyclosporin
Scalable modeling and solution of stochastic multiobjective optimization problems
A model of a rotary kiln incinerator including processes occurring within the solid and the gaseous phases
A feasible path-based approach for Dividing Wall Column design procedure
A new approach for shell targeting of a heat exchanger network
Resilient pharmaceutical supply chains: Assessment of stochastic optimization strategies for process uncertainty integration in network design problems
Disaggregation-aggregation based model reduction for refinery-wide optimization
Practical optimization for cost reduction of a liquefier in an industrial air separation plant
MINLP optimization of a heterogeneous azeotropic distillation process: Separation of ethanol and water with cyclohexane as an entrainer
Multi-objective optimization of sulfur recovery units using a detailed reaction mechanism to reduce energy consumption and destruct feed contaminants
GRU-Auto-Encoder neural network based methods for diagnosing abnormal operating conditions of steam drums in coal gasification plants
Development of an empirical force field CRACK for n-alkanes that allows for classical molecular dynamics simulations investigating the pyrolysis reactions
A semi-supervised approach to fault diagnosis for chemical processes