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Chemical Process

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Showing 1–50 of 58 papers

TitleStatusHype
PC-Gym: Benchmark Environments For Process Control ProblemsCode2
Towards Foundation Model for Chemical Reactor Modeling: Meta-Learning with Physics-Informed AdaptationCode1
Latent Variable Method Demonstrator -- Software for Understanding Multivariate Data Analytics AlgorithmsCode1
SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical ProcessesCode1
On the Implementation of a Bayesian Optimization Framework for Interconnected SystemsCode1
Real-Time Machine-Learning-Based Optimization Using Input Convex Long Short-Term Memory NetworkCode1
Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees EmbeddedCode0
Neural Component Analysis for Fault DetectionCode0
Analyzing Operator States and the Impact of AI-Enhanced Decision Support in Control Rooms: A Human-in-the-Loop Specialized Reinforcement Learning Framework for Intervention StrategiesCode0
Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering TasksCode0
Emergent simulation of cell-like shapes satisfying the conditions of life using lattice-type multiset chemical modelCode0
AutoChemSchematic AI: A Closed-Loop, Physics-Aware Agentic Framework for Auto-Generating Chemical Process and Instrumentation Diagrams—0
BOIS: Bayesian Optimization of Interconnected Systems—0
Chance Constrained Policy Optimization for Process Control and Optimization—0
Control Contraction Metric Synthesis for Discrete-time Nonlinear Systems—0
Data augmentation for machine learning of chemical process flowsheets—0
Data-driven parallel Koopman subsystem modeling and distributed moving horizon state estimation for large-scale nonlinear processes—0
Data-driven surrogate modelling and benchmarking for process equipment—0
Deep Anomaly Detection on Tennessee Eastman Process Data—0
Economic data-enabled predictive control using machine learning—0
Flowsheet synthesis through hierarchical reinforcement learning and graph neural networks—0
Fuzzy Model Identification and Self Learning with Smooth Compositions—0
Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-based Input-Output Decoupled Network—0
Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data—0
Graph-to-SFILES: Control structure prediction from process topologies using generative artificial intelligence—0
Hybrid fuzzy logic and pid controller based ph neutralization pilot plant—0
Integrating knowledge bases to improve coreference and bridging resolution for the chemical domain—0
LLM-guided Chemical Process Optimization with a Multi-Agent Approach—0
Lyapunov-based reinforcement learning for distributed control with stability guarantee—0
Machine learning-based input-augmented Koopman modeling and predictive control of nonlinear processes—0
Machine Learning-Based Soft Sensors for Vacuum Distillation Unit—0
Manyopt: An Extensible Tool for Mixed, Non-Linear Optimization Through SMT Solving—0
Nonlinear Model Order Reduction of Dynamical Systems in Process Engineering: Review and Comparison—0
Online Fault Detection and Classification of Chemical Process Systems Leveraging Statistical Process Control and Riemannian Geometric Analysis—0
Optimized data exploration applied to the simulation of a chemical process—0
Partition-based distributed extended Kalman filter for large-scale nonlinear processes with application to chemical and wastewater treatment processes—0
Quantifying constraints determining independent activation on NMDA receptors mediated currents from evoked and spontaneous synaptic transmission at an individual synapse—0
Reduced-order Koopman modeling and predictive control of nonlinear processes—0
Robust Machine Learning Modeling for Predictive Control Using Lipschitz-Constrained Neural Networks—0
Rule-based autocorrection of Piping and Instrumentation Diagrams (P&IDs) on graphs—0
Self-tuning moving horizon estimation of nonlinear systems via physics-informed machine learning Koopman modeling—0
SFILES 2.0: An extended text-based flowsheet representation—0
Spatial-temporal associations representation and application for process monitoring using graph convolution neural network—0
Structured Pruning of Neural Networks for Constraints Learning—0
Subsystem decomposition and state estimation of nonlinear processes with implicit time-scale multiplicity—0
Toward autocorrection of chemical process flowsheets using large language models—0
A comprehensive spatial-temporal infection model—0
Twin Transformer using Gated Dynamic Learnable Attention mechanism for Fault Detection and Diagnosis in the Tennessee Eastman Process—0
Adaptive Contraction-based Control of Uncertain Nonlinear Processes using Neural Networks—0
A Feature Importance Analysis for Soft-Sensing-Based Predictions in a Chemical Sulphonation Process—0
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