Learning from flowsheets: A generative transformer model for
autocompletion of flowsheets

Learning from flowsheets: A generative transformer model for autocompletion of flowsheets

1 August 2022

Lukas Schulze Balhorn

Artur M. Schweidtmann

Papers citing "Learning from flowsheets: A generative transformer model for autocompletion of flowsheets"

9 / 9 papers shown

Title
Graph-to-SFILES: Control structure prediction from process topologies using generative artificial intelligence Lukas Schulze Balhorn Kevin Degens Artur M. Schweidtmann AI4CE 64 0 0 30 Nov 2024
Generative AI and Process Systems Engineering: The Next Frontier Benjamin Decardi-Nelson Abdulelah S. Alshehri Akshay Ajagekar Fengqi You AI4CE LLMAG 6 23 0 15 Feb 2024
Toward autocorrection of chemical process flowsheets using large language models Lukas Schulze Balhorn Marc Caballero Artur M. Schweidtmann AI4CE 20 3 0 05 Dec 2023
Deep reinforcement learning for process design: Review and perspective Qitong Gao Artur M. Schweidtmann AI4CE 8 14 0 15 Aug 2023
Introducing Hybrid Modeling with Time-series-Transformers: A Comparative Study of Series and Parallel Approach in Batch Crystallization Niranjan Sitapure J. Kwon 14 32 0 25 Jul 2023
CrystalGPT: Enhancing system-to-system transferability in crystallization prediction and control using time-series-transformers Niranjan Sitapure J. Kwon 6 51 0 31 May 2023
Data augmentation for machine learning of chemical process flowsheets Lukas Schulze Balhorn Edwin Hirtreiter Lynn Luderer Artur M. Schweidtmann AI4CE 11 1 0 07 Feb 2023
Automated Synthesis of Steady-State Continuous Processes using Reinforcement Learning Q. Göttl D. G. Grimm Jakob Burger AI4CE 23 18 0 12 Jan 2021
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,435 0 26 Sep 2016