
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
Comparing core-shell superficially porous to fully porous particles to determine efficiency required for detection and separation of low-level impurities for subunit analysis.






