A machine learning platform has been developed to predict flammability metrics of polymers.
Using synthetic data, the models demonstrated the potential to accurately predict flammability index and cone calorimetry outcomes.
The platform, called POLYCOMPRED, is integrated into the cloud-based MatVerse platform and provides an accessible web-based interface for flammability prediction.
The development of the platform offers a tool for designing new materials with tailored fire-resistant properties.