Physics-informed machine learning prediction of char mass evolution in the catalytic pyrolysis of polyetherimide/graphite nanocomposites

Carbonaceous structures can be produced via pyrolysis of polymeric precursors for applications in gas separation membranes, energy storage, flexible electronics, electromagnetic interference shielding foams, etc. Maximizing char yield is a primary objective, determined by precursor chemistry, compos...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Masoud Salavati, Stanford White, IV, Mohammed Majdoub, Mine G. Ucak-Astarlioglu, Ahmed Al-Ostaz, Samrat Choudhury, Sasan Nouranian
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2026-06-01
Schriftenreihe:	Chemical Physics Impact
Schlagworte:	Polyetherimide Graphite Catalytic pyrolysis Machine learning Transformer-based neural network
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2667022425001793
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!