Chemical Process Systems

Momentum

2 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28

Latest papers 15

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CardsList
  1. Atoms to Processes: The Role of Artificial Intelligence and Machine Learning in Chemical Engineering

    Oct 1, 2026Michael Baldea, Linda J. Broadbelt, Marianthi G. Ierapetritou +17Chemical Process SystemsFirst-Principles Calculation

  2. Reduced-Space Multi-Fidelity Bayesian Optimization of Process Simulation Models

    Sep 15, 2026Niki Triantafyllou, Andrea Bernardi, Maria M. PapathanasiouMulti-FidelityMulti-Objective Bayesian Optimization Algorithms

  3. Differentiable Hybrid Modelling for Learning and Optimising Chemical Transport Processes from Experimental Data

    Sep 3, 2026Arthur Jessop, Mohammed Alsubeihi, Ben Moseley +1Chemical Process SystemsLatent Transport

  4. DASyR-LLM: Domain-Aware Symbolic Regression with LLMs for Kinetic Model Discovery

    Aug 5, 2026Roberto Aliaga Medina, Paulina Quintanilla, Antonio del Rio ChanonaSymbolic RegressionChemical Process Systems

  5. CRAFTS: Collaborative Role-Adaptive Fine-Tuning of LLM Agents for Chemical Process Simulation

    Aug 2, 2026Ziyun Zhang, Yuxin Lin, Eldin Wee Chuan Lim +1Chemical Process SystemsEngineering

  6. Shared Symbolic Backbones for Physically Consistent Multi-Output Symbolic Regression

    Jul 29, 2026Manuel RodriguezSymbolic RegressionMultiple-Input Multiple-Output

  7. Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery

    Jun 22, 2026Runzhe Liu, Zihao Wang, Wenbo Yang +1Chemical Process SystemsGaussian Process

  8. Embedding Linear Equality Constraints in Probabilistic Neural Networks for Dynamic Modelling

    Jun 19, 2026Matthew Marsh, Benoit Chachuat, Antonio del Rio ChanonaInequality ConstraintsChemical Process Systems

  9. Structure from Reasoning, Numbers from Search: On-Premise Open LLMs as Structural Priors for Coupled MIMO Controller Tuning

    Jun 9, 2026Jiaxuan Chen, Haonan Li, Yang ShuTuningRobust Control

  10. Bayesian Optimization of a Multi-Product Chemical Reactor Using Composite Models and Partial Physics Knowledge

    Jun 7, 2026Liqiu Dong, Marta Zagórowska, Mehmet MercangözChemical Process SystemsBayesian Optimization

  11. Machine Learning-Driven Chemical Reactor Network Modeling of the Sandia-D Flame

    Jun 1, 2026Nicolas J. Tricard, Benjamin C. Koenig, Sili DengCombustion ControlChemical Process Systems

  12. Physics-Informed Deep Learning for Entropy Prediction in Heterogeneous Systems: Thermodynamic and Information-Theoretic Case Studies

    May 31, 2026Biswajeet Sahoo, Debadutta PatraParametric Physics-Informed Neural NetworkPhysics-Informed Learning

  13. Reinforcement Learning-based Control via Y-wise Affine Neural Networks: Comparative Case Studies for Chemical Processes

    May 20, 2026Austin Braniff, Yuhe TianChemical Process SystemsModel Predictive Control

  14. Meta-learning for sample-efficient Bayesian optimisation of fed-batch processes

    May 6, 2026Becky Langdon, Gabriel D. Patrón, Chrysoula D. Kappatou +6Bayesian OptimizationChemical Process Systems

  15. Privacy-Preserving Federated Learning Framework for Distributed Chemical Process Optimization

    Apr 28, 2026Teetat Pipattaratonchai, Aueaphum AueawatthanaphisutChemical Process SystemsFederated Learning