yusuke1997/dblp-id-title huggingface dataset:
Surrogate modeling based uncertainties analysis for the determination of safe and optimal operating conditions in batch reactors
Optimal operation of integrated electricity and gas networks with risk analysis using downside risk constraints method
Synthesis of industrial park water reuse networks considering treatment systems and merged connectivity options
Rigorous scheduling of mesh-structure refined petroleum pipeline networks
Optimal design of Carbon Capture, Utilization and Storage (CCUS) networks under uncertain geological storage volumes and CO2 price
Integrated design and control under uncertainty: Embedded control optimization for plantwide processes
Generation of batch operating procedures for multiple material-transfer tasks with Petri nets
A hybrid genetic algorithm for twice continuously differentiable NLP problems
A simple method of tuning PID controllers for integrator/dead-time processes
A systematic synthesis and design methodology to achieve process intensification in (bio) chemical processes
Time representations and mathematical models for process scheduling problems
Simultaneous scheduling of front-end crude transfer and refinery processing
A stabilized nodal spectral solver for liquid chromatography models
Mass transfer simulation of biodiesel synthesis in microreactors
Refrigerant selection for different cryogenic temperatures
Bridging net-zero, nature-positive, and people-positive goals: A case study in the polyester industry
On decoupling rate processes in chemical reaction systems - Methods and applications
Digital predictions of complex cylinder packed columns
The ALAMO approach to machine learning
Framework for margins-based planning: Forest biorefinery case study
Model for risk and reliability analysis of complex production systems: Application to FPSO/flow-Riser system
An integrated approach to the optimal design of sustainably efficient biorefinery supply chains
Multiperiod refinery optimization for mitigating the impact of process unit shutdowns
Modified differential evolution (MDE) for optimization of non-linear chemical processes
A mixed-integer programming approach to strategic planning of chemical centres: A case study in the UK
Data-Driven Process System Engineering-Contributions to its consolidation following the path laid down by George Stephanopoulos
A framework for modeling and optimizing dynamic systems under uncertainty
Interpretable online scheduling for chemical batch plants with attention augmented reinforcement learning agents
Rigorous-simulation pinch-technology refined approach for process synthesis of the water-gas shift reaction system in an IGCC process with carbon capture
Study on the number of decision variables in design and optimization of Varicol process
Fleet sizing in chemical supply chains using agent-based simulation
Estimation of the temporal coefficients for an empirical approximator. New approach based on the Proper Orthogonal Decomposition modes
Multi-phase particle-in-cell coupled with population balance equation (MP-PIC-PBE) method for multiscale computational fluid dynamics simulation
Reactive scheduling of crude oil using structure adapted genetic algorithm under multiple uncertainties
Parallel derivative-free optimization for simulation-based design of behind-the-meter energy systems
Convex Envelope Method for determining liquid multi-phase equilibria in systems with arbitrary number of components
Numerical analysis of mass transfer in double-pass parallel-plate dialyzers with external recycle
Dynamics and control of integrated microchemical systems with application to micro-scale fuel processing
A fast and accurate solver for the general rate model of column liquid chromatography
A nonequilibrium model for three-phase distillation in a packed column: modelling and experiments
Heterogeneous parallel method for mixed integer nonlinear programming
Managing uncertainty in data-driven simulation-based optimization
Dynamic Real-Time Optimization of a solar thermal plant during daytime
Analysis of transient data in test designs for active fault detection and identification
An adaptive remeshing strategy for shear-thinning fluid flow simulations
Support vector machine approach for model-plant mismatch detection
Supersaturation controlled morphology and aspect ratio changes of benzoic acid crystals
Dynamic hybrid modeling: Incremental identification and model predictive control
Combinatorial Order Pre-processing Search (COPS): A new pre-processing strategy for large-scale interpretable data analysis in process analytical technologies
Offline reinforcement learning based feeding strategy of ethylene cracking furnace
Multi-timescale, multi-period decision-making model development by combining reinforcement learning and mathematical programming
Design of heat integrated distillation column by using H-xy and T-xy diagrams
Optimization of a simple LNG process using sequential quadratic programming
Scheduling custom printed napkin manufacturing by P-graphs
A hybrid deep Q-learning approach to online planning and rescheduling of single-stage multi-product continuous processes
Sustainable retrofit of petrochemical energy systems under multiple uncertainties using the stochastic optimization method
An automatic initialization procedure in parameter estimation problems with parameter-affine dynamic models
Physics-informed graph transformer fusion for leakage detection and grading in water distribution networks
Genetic programming-based development of thermal runaway criteria
Efficient numerical simulation of simulated moving bed chromatography with a single-column solver
Safety and risks informed economic process synthesis
Scheduling and control decision-making under an integrated information environment
Selecting control configurations for performance with independent design
Enhancing the value of detailed kinetic models through the development of interrogative software applications
Continuous learning of the value function utilizing deep reinforcement learning to be used as the objective in model predictive control
A widely applicable tool for modeling precipitation processes
Scheduling of gasoline blending and distribution using graphical genetic algorithm
Modeling of discrete/continuous optimization problems: characterization and formulation of disjunctions and their relaxations
Parameter estimation in batch process using EM algorithm with particle filter
Time (energy) requirements in closed batch distillation arrangements
A comparison of strategies to embed physics-informed neural networks in nonlinear model predictive control formulations solved via direct transcription
Modeling-on-demand-based multivariable control performance monitoring
Stochastic model predictive control - how does it work?
Methodology for inferring kinetic parameters of diesel oil HDS reactions based on scarce experimental data
European supply chains for carbon capture, transport and sequestration, with uncertainties in geological storage capacity: Insights from economic optimisation
Graph attention network with Granger causality map for fault detection and root cause diagnosis
OpenHENS: An open-source tool for heat exchanger network synthesis
Quality-targeting dynamic optimization of monoclonal antibody production
ECO-optimization of pre-treatment processes in metal finishing
Multi-bucket optimization for integrated planning and scheduling in the perishable dairy supply chain
Critical evaluation of image processing approaches for real-time crystal size measurements
Plant-wide control strategy applied to the Tennessee Eastman process at two operating points
A perspective on process synthesis: Challenges and prospects
Adaptive genetic programming for steady-state process modeling
Robust optimization for decision-making under endogenous uncertainty
Study on explosion characteristics of premixed gas influenced by magnetic field based on product analysis
Bidirectional inventory control with optimal use of intermediate storage
Interpreting patterns and analysis of acute leukemia gene expression data by multivariate fuzzy statistical analysis
PI-controlled bioreactor as a generalized Liénard system
Oracle-based economic predictive control
Design of robust, reliable sensor networks using constraint programming
Subsidised water symbiosis of eco-industrial parks: A multi-stage game theory approach
Graph theory augmented math programming approach to identify minimal reaction sets in metabolic networks
One implementation variant of the finite difference method for solving ODEs/DAEs
Optimization of CO2 capture plants with surrogate model uncertainties
Selection of optimal feed flow sequence for a multiple effect evaporator system
An efficient multi criteria process optimization framework: Sustainable improvement of the Dimethyl Ether Process
Model-based design of optimal experiments for nonlinear systems in the context of guaranteed parameter estimation
Reducing carbon emissions in cement production through solarization of the calcination process and thermochemical energy storage
On the linear approximation of mixture internal energies of departure
Data-based design of multi-model inferential sensors
Modeling and control of battery systems. Part II: A model predictive controller for optimal charging
Model predictive control and moving horizon estimation for adaptive optimal bolus feeding in high-throughput cultivation of E. coli
Bilevel optimization techniques in computational strain design
Designing a Reliable Multi-Objective Queuing Model of a Petrochemical Supply Chain Network under Uncertainty: A Case Study
A finite element model of enzymatically catalyzed hydrolysis in an electrostatic spray reactor
Simulation of solute dispersion in particle packs by the volume averaging method
Symmetry breaking in MILP formulations for Unit Commitment problems
Shared and practical approach to conserve utilities in eco-industrial parks
Discrete-time contraction-based control of nonlinear systems with parametric uncertainties using neural networks
Control and optimization of a flexible green steel plant capable of responding to day-ahead electricity carbon emissions and prices
Multi-objective optimization of an industrial fluidized-bed catalytic cracking unit (FCCU) using genetic algorithm (GA) with the jumping genes operator
Design of a control system for rotating equipment
Multi-dimensional transient mathematical simulator of blast furnace process based on multi-fluid and kinetic theories
CFD analysis of mixing in thermal polymerization of styrene
Multicomponent and multi-dimensional modeling and simulation of adsorption-based carbon dioxide separation
A model-based approach to the assessment of physicochemical properties of drug delivery materials
An integrated output space partition and optimal control method of multiple-model for nonlinear systems
A graph theoretic representation and analysis of zeolite frameworks
Learning from flowsheets: A generative transformer model for autocompletion of flowsheets
Integration of scheduling and control - Theory or practice?
Refinery production planning optimization under crude oil quality uncertainty
A computational modelling approach based on the 'Energy - Water - Food nexus node' to support decision-making for sustainable and resilient food security
An adaptive sampling approach for Kriging metamodeling by maximizing expected prediction error
An improved numerical method of calculating the striation thinning in static mixers
Fault diagnosis based on Fisher discriminant analysis and support vector machines
Model-based energy management systems: Weighting of multiobjective functions using the Volatile Energy Prices Scalarization (VEPS)
Heat integration between processes: Integrated structure and MINLP model
A bilevel optimization method for simultaneous synthesis of medium-scale heat exchanger networks based on grouping of process streams
Predictive analytics in the petrochemical industry: Research Octane Number (RON) forecasting and analysis in an industrial catalytic reforming unit
Supporting supply chain planning and scheduling decisions in the oil and chemical industry
Computers & Chemical Engineering: Best paper of 2009
Efficient numerical schemes for multidimensional population balance models
Improved on-line process fault diagnosis through information fusion in multiple neural networks
Dynamic Domino Effect Assessment (D2EA) in tank farms using a machine learning-based approach
ForeSee - A hierarchical dynamic modeling and simulation system of complex processes
A multi-scale framework for CO 2 capture, utilization, and sequestration: CCUS and CCU
Multiscale modeling of the microbial production of polyhydroxyalkanoates using two carbon sources
Event-based predictive control of pH in tubular photobioreactors
Solution of bivariate population balance equations with high-order moment-conserving method of classes
Production scheduling under demand uncertainty in the presence of feedback: Model comparisons, insights, and paradoxes
Genetic/quadratic search algorithm for plant economic optimizations using a process simulator
Automated Simulation Error based Reduction (ASER) of large chemical reaction mechanisms
A methodology for propellant composition optimization in aerosol consumer products, considering economic, safety, and environmental objectives
A MILP-based clustering strategy for integrating the operational management of crude oil supply
Tabu search for global optimization of continuous functions with application to phase equilibrium calculations
Optimal design and global sensitivity analysis of biomass supply chain networks for biofuels under uncertainty
Toward integrated production and distribution management in multi-echelon supply chains
Efficient modeling of distributions of polymer properties using probability generating functions and parallel computing
Data-centric process systems engineering: A push towards PSE 4.0
From clutter to clarity: Emergent neural operators via questionnaire metrics
A multitasking continuous time formulation for short-term scheduling of operations in multipurpose plants
Deep learning adaptive Model Predictive Control of Fed-Batch Cultivations
Sustainable synthesis of biogas processes using a novel concept of eco-profit
Direct computation of Hopf bifurcation points in differential-algebraic equations
Cognitive fault diagnosis in Tennessee Eastman Process using learning in the model space
A Systematic Literature review for the rig scheduling problem: Classification and state-of-the-art
A partial differential equation model predictive control strategy: application to autoclave composite processing
A hybrid dynamic model for the prediction of molten iron and slag quality indices of a large-scale blast furnace
Evaluating smart sampling for constructing multidimensional surrogate models
Data reconciliation for chemical reaction systems using vessel extents and shape constraints
New a priori and a posteriori probabilistic bounds for robust counterpart optimization: III. Exact and near-exact a posteriori expressions for known probability distributions
Privacy-preserving federated machine learning modeling and predictive control of heterogeneous nonlinear systems
Optimal molecular design towards an environmental friendly solvent recovery process
A novel Transformer-based model with large kernel temporal convolution for chemical process fault detection
Multiscale theory for linear dynamic processes: Part 2. Multiscale model predictive control (MS-MPC)
Logarithmic mean: Chen's approximation or explicit solution?
Power-to-X: A review and perspective
A new Lagrangian decomposition approach applied to the integration of refinery planning and crude-oil scheduling
A simplified numerical method for the General Rate model
Data, models, algorithms, AI and the role of PSE - the generation next
Design of an embedded inverse-feedforward biomolecular tracking controller for enzymatic reaction processes
Identification of nonlinear kinetics of macroscopic bio-reactions using multilinear Gaussian processes
Forecasting sustainable power generation profiles to achieve net zero emissions using multi-objective techno-ecological framework: A study in the context of India
Estimation of LLX for PIONA families and its validation
An integrated framework for sustainable process design by hybrid and intensified equipment
Comparing models for lot-sizing and scheduling of single-stage continuous processes: Operations research and process systems engineering approaches
Module-oriented automatic differentiation in chemical process systems optimization
Dynamic data reconciliation based on node imbalance autocovariance functions
Synthesis and assessment of waste-to-resource routes for circular economy
Modeling and simulation of VMD desalination process by ANN
Assessment of a POD method for the dynamical analysis of a catalyst pellet with simultaneous chemical reaction, adsorption and diffusion: Uniform temperature case
Modeling of the mixing of monodisperse particles using a stationary DEM-based Markov process
An efficient methodology to select high-performance M-estimators for robust data reconciliation
Integrated design and operation of renewables-based fuels and power production networks
A novel and systematic approach to identify the design space of pharmaceutical processes
Predicting the cradle-to-gate environmental impact of chemicals from molecular descriptors and thermodynamic properties via mixed-integer programming
Multi-period scheduling of a multi-stage multi-product bio-pharmaceutical process
Modeling of hydraulic fracturing and designing of online pumping schedules to achieve uniform proppant concentration in conventional oil reservoirs
Sequentially scaling Jacobian matrices using row then column norm aggregation
An improved piecewise outer-approximation algorithm for the global optimization of MINLP models involving concave and bilinear terms
Optimization model for re-circulating cooling water systems
SINOPEC's reform and IT development
Strategic investments and portfolio management in interdependent low-carbon electricity and natural gas markets
Numerical simulation of stochastic gene circuits
Deterministic global process optimization: Accurate (single-species) properties via artificial neural networks
Decoupling the constraints for process simulation in large-scale flowsheet optimization
Performance modeling of Allam cycle integrated with a cryogenic air separation process
Corrigendum to Designing and planning the downstream oil supply chain under uncertainty using a fuzzy programming approach'[Computers and Chemical Engineering 151 (2021) 107373]
Data reconciliation-based simulation of thermal power plants for performance estimation and digital twin development
Optimal scheduling of a multiproduct batch chemical plant with preemptive changeover tasks
New methodology for parameter estimation of offshore slug models with Hopf bifurcation
Personalized medicine for GnRH antagonist protocol in in vitro fertilization procedure using modeling and optimal control
Making processes work
An optimization approach for improving the exergetic efficiency in mesoscale combustor
Process synthesis of biodiesel production plant using artificial neural networks as the surrogate models
Design of a self-tuning adaptive model predictive controller using recursive model parameter estimation for real-time plasma variable control
Global Search Metaheuristics for planning transportation of multiple petroleum products in a multi-pipeline system
Integrated scheduling of rolling sector in steel production with consideration of energy consumption under time-of-use electricity prices
Detailed steady-state simulation of tubular reactors for LDPE production: Influence of numerical integration accuracy
Integration of crude-oil scheduling and refinery planning by Lagrangean Decomposition
Designing biofuel supply chains while mitigating harmful algal blooms with treatment wetlands
Strategic optimisation of biomass-based energy supply chains for sustainable mobility
Lagrangean decomposition using an improved Nelder-Mead approach for Lagrangean multiplier update
COMANDO: A Next-Generation Open-Source Framework for Energy Systems Optimization
Distributionally robust optimization for planning and scheduling under uncertainty
Experimental and theoretical investigation of parametric sensitivity and dynamics of a continuous stirred tank reactor for acid catalyzed hydrolysis of acetic anhydride
Optimization of heat integration with variable stream data and non-linear process constraints
Municipal solid waste to liquid transportation fuels, olefins, and aromatics: Process synthesis and deterministic global optimization
Perspectives on chemical product and process design
Computer simulation to optimize roller screen settings providing higher efficiency in green pellets classification
Modelling, simulation and sensitivity analysis of naphtha catalytic reforming reactions
Families of similar surrogate forms based on predictive accuracy and model complexity
Data-driven model predictive control for closed-loop refracturing design and optimization in naturally fractured shale gas reservoir under geological uncertainty
Reinforcement learning for soft sensor design through autonomous cross-domain data selection
A quantile-based scenario analysis approach to biomass supply chain optimization under uncertainty
Designing and planning the downstream oil supply chain under uncertainty using a fuzzy programming approach
Design of switching multilinear model predictive control using gap metric
A multi-parametric optimization approach for bilevel mixed-integer linear and quadratic programming problems
Parameter and state estimation of an agro-hydrological system based on system observability analysis
Dynamic and stochastic optimization of algae cultivation process
Sequential synthesis of heat integrated water networks: A new approach and its application to small and medium sized examples
Optimization of deep learning models for forecasting performance in the water industry using genetic algorithms
Decision support framework for coordinated production and transport scheduling in SCM
Single-cell gene-switching networks and heterogeneous cell population phenotypes
A unified modeling framework for the optimal design and dynamic simulation of staged reactive separation processes
A perspective on PSE in pharmaceutical process development and innovation
Real time optimization (RTO) with model predictive control (MPC)
A multi-objective reactive distillation optimization model for Fischer-Tropsch synthesis
Manifold-aware stationary subspace and divergence analysis for nonstationary process monitoring
Security constrained unit commitment scheduling: A new MILP formulation for solving transmission constraints
Simultaneous regular and non-regular production scheduling of multipurpose batch plants: A real chemical-pharmaceutical case study
Shortcut assessment of alternative distillation sequence schemes for process intensification
Batch-centric scheduling formulation for treelike pipeline systems with forbidden product sequences
Performance analysis of a multi-plant specialty chemical manufacturing enterprise using an agent-based model
A graph theoretical approach to the elucidation of reaction mechanisms: Analysis of the chlorine electrode reaction
Investigation of the chemical vapor deposition of Cu from copper amidinate through data driven efficient CFD modelling
Synthesis of n-propyl propionate in a pilot-plant reactive distillation column: Experimental study and simulation
Optimization of crude oil hydrotreating process as a function of operating conditions: Application of response surface methodology
Optimal multi-scale capacity planning for power-intensive continuous processes under time-sensitive electricity prices and demand uncertainty. Part II: Enhanced hybrid bi-level decomposition
eMoM: Exact method of moments - Nucleation and size dependent growth of nanoparticles
Dynamic simulation of a pilot rotary kiln for charcoal activation
Project and capacity management: An application to drug development
Global optimization of large-scale MIQCQPs via cluster decomposition: Application to short-term planning of an integrated refinery-petrochemical complex
Dynamic conceptual design of industrial processes