SFILES
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Related Articles from SNS
SFILES 2.0: An extended text-based flowsheet representation
arXiv:2208.00778v2 Announce Type: replace Abstract: SFILES are a text-based notation for chemical process flowsheets. They were originally proposed by d'Anterroches (Process flow sheet generation & design through a group contribution approach) who was inspired by the text-based SMILES notation for molecules. The text-based format has several advantages compared to flowsheet images regarding the storage format, computational accessibility, and eventually for data analysis and processing.
Graph-to-SFILES: Control structure prediction from process topologies using generative artificial intelligence
arXiv:2412.00508v2 Announce Type: replace Abstract: Control structure design is an important but tedious step in P&ID development. Generative artificial intelligence (AI) promises to reduce P&ID development time by supporting engineers. Previous research on generative AI in chemical process design mainly represented processes by sequences.
Learning from flowsheets: A generative transformer model for autocompletion of flowsheets
arXiv:2208.00859v2 Announce Type: replace Abstract: We propose a novel method enabling autocompletion of chemical flowsheets. This idea is inspired by the autocompletion of text. We represent flowsheets as strings using the text-based SFILES 2.0 notation and learn the grammatical structure of the SFILES 2.0 language and common patterns in flowsheets using a transformer-based language model.
Toward automatic generation of control structures for process flow diagrams with large language models
arXiv:2211.05583v2 Announce Type: replace Abstract: Developing Piping and Instrumentation Diagrams (P&IDs) is a crucial step during process development. We propose a data-driven method for the prediction of control structures. Our methodology is inspired by end-to-end transformer-based human language translation models.