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Chemical Process

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Showing 1–25 of 58 papers

TitleStatusHype
PC-Gym: Benchmark Environments For Process Control ProblemsCode2
On the Implementation of a Bayesian Optimization Framework for Interconnected SystemsCode1
Towards Foundation Model for Chemical Reactor Modeling: Meta-Learning with Physics-Informed AdaptationCode1
Real-Time Machine-Learning-Based Optimization Using Input Convex Long Short-Term Memory NetworkCode1
SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical ProcessesCode1
Latent Variable Method Demonstrator -- Software for Understanding Multivariate Data Analytics AlgorithmsCode1
LLM-guided Chemical Process Optimization with a Multi-Agent Approach—0
Nonlinear Model Order Reduction of Dynamical Systems in Process Engineering: Review and Comparison—0
AutoChemSchematic AI: A Closed-Loop, Physics-Aware Agentic Framework for Auto-Generating Chemical Process and Instrumentation Diagrams—0
Economic data-enabled predictive control using machine learning—0
Online Fault Detection and Classification of Chemical Process Systems Leveraging Statistical Process Control and Riemannian Geometric Analysis—0
Rule-based autocorrection of Piping and Instrumentation Diagrams (P&IDs) on graphs—0
Fuzzy Model Identification and Self Learning with Smooth Compositions—0
Lyapunov-based reinforcement learning for distributed control with stability guarantee—0
Graph-to-SFILES: Control structure prediction from process topologies using generative artificial intelligence—0
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient—0
Self-tuning moving horizon estimation of nonlinear systems via physics-informed machine learning Koopman modeling—0
Machine learning-based input-augmented Koopman modeling and predictive control of nonlinear processes—0
Approximating arrival costs in distributed moving horizon estimation: A recursive method—0
Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-based Input-Output Decoupled Network—0
Integrating knowledge bases to improve coreference and bridging resolution for the chemical domain—0
Partition-based distributed extended Kalman filter for large-scale nonlinear processes with application to chemical and wastewater treatment processes—0
Data-driven parallel Koopman subsystem modeling and distributed moving horizon state estimation for large-scale nonlinear processes—0
Reduced-order Koopman modeling and predictive control of nonlinear processes—0
Twin Transformer using Gated Dynamic Learnable Attention mechanism for Fault Detection and Diagnosis in the Tennessee Eastman Process—0
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