Modeling chemical processes using prior knowledge and neural networks

• Physics-informed neural networks for dynamic process operations with limited physical knowledge and data

  2024 Computers & Chemical Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access

  54

  citations
• Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions

  2024 BMC Bioinformatics software-paper Computer Science Machine Learning and Data Classification Open access

  5

  citations
• Hybrid modeling of liquid-liquid pulsed sieve tray extraction columns

  2024 Chemical Engineering Science article Engineering Fluid Dynamics and Mixing

  19

  citations
• Hybrid modeling of drop breakage in pulsed sieve tray extraction columns

  2023 Frontiers in Chemical Engineering article Engineering Fluid Dynamics and Mixing Open access

  8

  citations
• Can the Kuznetsov Model Replicate and Predict Cancer Growth in Humans?

  2022 Bulletin of Mathematical Biology article Mathematics Mathematical Biology Tumor Growth Open access

  6

  citations
• A training strategy for hybrid models to break the curse of dimensionality

  2022 PLoS ONE article Health Professions Artificial Intelligence in Healthcare Open access

  11

  citations
• HybridML: Open source platform for hybrid modeling

  2022 Computers & Chemical Engineering article Computer Science Modeling and Simulation Systems Open access

  30

  citations
• Can the Kuznetsov Model Replicate and Predict Cancer Growth in Humans?

  2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Mathematics Mathematical Biology Tumor Growth Open access

  0

  citations
• Optimal Eco-Routing for Hybrid Vehicles With Powertrain Model Embedded

  2021 IEEE Transactions on Intelligent Transportation Systems article Engineering Electric and Hybrid Vehicle Technologies Open access

  12

  citations
• Summit: Benchmarking Machine Learning Methods for Reaction Optimisation

  2021 Chemistry - Methods article Materials Science Machine Learning in Materials Science Open access cited by 1 patent

  92

  citations
• Summit: Benchmarking Machine Learning Methods for Reaction Optimisation

  2020 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

  4

  citations
• The Potential of Hybrid Mechanistic/Data‐Driven Approaches for Reduced Dynamic Modeling: Application to Distillation Columns

  2020 Chemie Ingenieur Technik article Physics and Astronomy Model Reduction and Neural Networks Open access

  24

  citations
• Summit: Benchmarking Machine Learning Methods for Reaction Optimisation

  2020 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

  17

  citations
• Summit: Benchmarking Machine Learning Methods for Reaction Optimisation

  2020 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

  4

  citations

14 results