Engineering and Technology

Artificial intelligence and thermodynamics help solving arson cases

S. Korver, E. Schouten, et al.

This groundbreaking research by Sander Korver, Eva Schouten, Othonas A. Moultos, Peter Vergeer, Michiel M. P. Grutters, Leo J. C. Peschier, Thijs J. H. Vlugt, and Mahinder Ramdin unveils how machine learning and thermodynamic modeling can predict the initial composition of gasoline samples from weathered evidence. Achieving remarkable accuracy with minimal error even in severely weathered cases highlights its potential in linking fire scenes to suspects, revolutionizing arson investigation.