Flowsheet synthesis through hierarchical reinforcement learning and graph neural networks

25 July 2022

Papers citing "Flowsheet synthesis through hierarchical reinforcement learning and graph neural networks"

6 / 6 papers shown

Title
Generative AI and Process Systems Engineering: The Next Frontier Benjamin Decardi-Nelson Abdulelah S. Alshehri Akshay Ajagekar Fengqi You AI4CE LLMAG 24 24 0 15 Feb 2024
Machine learning in bioprocess development: From promise to practice L. M. Helleckes J. Hemmerich W. Wiechert E. Lieres A. Grünberger 21 47 0 04 Oct 2022
Learning from flowsheets: A generative transformer model for autocompletion of flowsheets Gabriel Vogel Lukas Schulze Balhorn Artur M. Schweidtmann AI4CE 35 33 0 01 Aug 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,104 0 27 Apr 2021
Automated Synthesis of Steady-State Continuous Processes using Reinforcement Learning Q. Göttl D. G. Grimm Jakob Burger AI4CE 45 20 0 12 Jan 2021
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 203 885 0 07 Jun 2018