Thermo-Structural Machine Learning Framework for Malicious Sample Detection and Validation in Polymer Composite Materials
The increased use of polymer composites in aerospace, automotive, biomedical and industrial applications has increased the urgency of developing dependable methods to detect malicious samples with counterfeited resins, unauthorized additives, recycled components, hidden flaws, or purposefully degraded physical properties.Â
