Flowsheet generation through hierarchical reinforcement learning and graph neural networks

• Federated learning from molecules to processes: A perspective

  2026 Process Safety and Environmental Protection article Materials Science Machine Learning in Materials Science Open access

  0

  citations
• Context is all you need: Toward autonomous model‐based process design using agentic AI in flowsheet simulations

  2026 AIChE Journal article Engineering Process Optimization and Integration

  1

  citations
• Automated generation of mechanistic models for chemical process digital twins using reinforcement learning part II: Compartmentalization and learning-based recalibration

  2025 Computers & Chemical Engineering article Engineering Advanced Control Systems Optimization Open access

  6

  citations
• Automated generation of mechanistic models for chemical process digital twins using reinforcement learning part I: Conceptual framework and equation generation

  2025 Computers & Chemical Engineering article Engineering Advanced Control Systems Optimization Open access

  4

  citations
• Boosting autonomous process design and intensification with formalized domain knowledge

  2022 Computers & Chemical Engineering article Engineering Process Optimization and Integration Open access

  8

  citations
• Machine learning in bioprocess development: from promise to practice

  2022 Trends in biotechnology review Biochemistry, Genetics and Molecular Biology Viral Infectious Diseases and Gene Expression in Insects Open access cited by 1 patent

  166

  citations

6 results

• Machine Learning in Chemical Engineering: A Perspective

  2021 Chemie Ingenieur Technik article Materials Science Machine Learning in Materials Science Open access

  290

  citations
• Graph Neural Networks for Prediction of Fuel Ignition Quality

  2020 Energy & Fuels article Computer Science Computational Drug Discovery Methods

  142

  citations

2 results