Chemical Process

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

11 shown of 11 papers with code (58 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• On the Implementation of a Bayesian Optimization Framework for Interconnected Systems
  1 Jan 2025 1 repository listed
  Grey-box modeling, wherein the performance function is treated as a composition of known and unknown intermediate functions f(x, y(x)) (where y(x) is a GP model) offers a solution to this limitation; however, generating…
• PC-Gym: Benchmark Environments For Process Control Problems
  29 Oct 2024 1 repository listed
  PC-Gym is an open-source tool for developing and evaluating reinforcement learning (RL) algorithms in chemical process control.
• Towards Foundation Model for Chemical Reactor Modeling: Meta-Learning with Physics-Informed Adaptation
  20 May 2024 1 repository listed
  By combining meta-learning with physics-informed adaptation, this work lays the foundation for a generalizable modeling framework, advancing the development of foundation models for chemical engineering applications.
• 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 Strategies
  20 Feb 2024 1 repository listed
  These findings are particularly relevant when predicting the overall performance of the individual participant and their capacity to successfully handle a plant upset and the alarms connected to it using process and…
• Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering Tasks
  15 Jan 2024 1 repository listed
  Computational efficiency and robustness are essential in process modeling, optimization, and control for real-world engineering applications.
• Real-Time Machine-Learning-Based Optimization Using Input Convex Long Short-Term Memory Network
  13 Nov 2023 1 repository listed
  Neural network-based optimization and control methods, often referred to as black-box approaches, are increasingly gaining attention in energy and manufacturing systems, particularly in situations where first-principles…
• SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical Processes
  17 Aug 2022 1 repository listed
  However, manual annotation of large amounts of data can be difficult in industrial settings.
• Latent Variable Method Demonstrator -- Software for Understanding Multivariate Data Analytics Algorithms
  17 May 2022 1 repository listed
  The ever-increasing quantity of multivariate process data is driving a need for skilled engineers to analyze, interpret, and build models from such data.
• Emergent simulation of cell-like shapes satisfying the conditions of life using lattice-type multiset chemical model
  21 Apr 2022 1 repository listed
  In this study, a 'multiset chemical lattice model', which allows virtual molecules of multiple types to be placed in each cell on a two-dimensional space, was considered.
• Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded
  2 Mar 2018 1 repository listed
  Decision trees usefully represent sparse, high dimensional and noisy data.
• Neural Component Analysis for Fault Detection
  12 Dec 2017 1 repository listed
  Since PCA-based methods assume that the monitored process is linear, nonlinear PCA models, such as autoencoder models and kernel principal component analysis (KPCA), has been proposed and applied to nonlinear process…