Artificial intelligence and thermodynamics help solving arson cases

Abstract In arson cases, evidence such as DNA or fingerprints is often destroyed. One of the most important evidence modalities left is relating fire accelerants to a suspect. When gasoline is used as accelerant, the aim is to find a strong indication that a gasoline sample from a fire scene is rela...

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Autores principales:	Sander Korver, Eva Schouten, Othonas A. Moultos, Peter Vergeer, Michiel M. P. Grutters, Leo J. C. Peschier, Thijs J. H. Vlugt, Mahinder Ramdin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/55aecca502044dcdbe452cabcab9d3b0
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spelling	oai:doaj.org-article:55aecca502044dcdbe452cabcab9d3b02021-12-02T11:41:56ZArtificial intelligence and thermodynamics help solving arson cases10.1038/s41598-020-77516-x2045-2322https://doaj.org/article/55aecca502044dcdbe452cabcab9d3b02020-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-77516-xhttps://doaj.org/toc/2045-2322Abstract In arson cases, evidence such as DNA or fingerprints is often destroyed. One of the most important evidence modalities left is relating fire accelerants to a suspect. When gasoline is used as accelerant, the aim is to find a strong indication that a gasoline sample from a fire scene is related to a sample of a suspect. Gasoline samples from a fire scene are weathered, which prohibits a straightforward comparison. We combine machine learning, thermodynamic modeling, and quantum mechanics to predict the composition of unweathered gasoline samples starting from weathered ones. Our approach predicts the initial (unweathered) composition of the sixty main components in a weathered gasoline sample, with error bars of ca. 4% when weathered up to 80% w/w. This shows that machine learning is a valuable tool for predicting the initial composition of a weathered gasoline, and thereby relating samples to suspects.Sander KorverEva SchoutenOthonas A. MoultosPeter VergeerMichiel M. P. GruttersLeo J. C. PeschierThijs J. H. VlugtMahinder RamdinNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-8 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sander Korver Eva Schouten Othonas A. Moultos Peter Vergeer Michiel M. P. Grutters Leo J. C. Peschier Thijs J. H. Vlugt Mahinder Ramdin Artificial intelligence and thermodynamics help solving arson cases
description	Abstract In arson cases, evidence such as DNA or fingerprints is often destroyed. One of the most important evidence modalities left is relating fire accelerants to a suspect. When gasoline is used as accelerant, the aim is to find a strong indication that a gasoline sample from a fire scene is related to a sample of a suspect. Gasoline samples from a fire scene are weathered, which prohibits a straightforward comparison. We combine machine learning, thermodynamic modeling, and quantum mechanics to predict the composition of unweathered gasoline samples starting from weathered ones. Our approach predicts the initial (unweathered) composition of the sixty main components in a weathered gasoline sample, with error bars of ca. 4% when weathered up to 80% w/w. This shows that machine learning is a valuable tool for predicting the initial composition of a weathered gasoline, and thereby relating samples to suspects.
format	article
author	Sander Korver Eva Schouten Othonas A. Moultos Peter Vergeer Michiel M. P. Grutters Leo J. C. Peschier Thijs J. H. Vlugt Mahinder Ramdin
author_facet	Sander Korver Eva Schouten Othonas A. Moultos Peter Vergeer Michiel M. P. Grutters Leo J. C. Peschier Thijs J. H. Vlugt Mahinder Ramdin
author_sort	Sander Korver
title	Artificial intelligence and thermodynamics help solving arson cases
title_short	Artificial intelligence and thermodynamics help solving arson cases
title_full	Artificial intelligence and thermodynamics help solving arson cases
title_fullStr	Artificial intelligence and thermodynamics help solving arson cases
title_full_unstemmed	Artificial intelligence and thermodynamics help solving arson cases
title_sort	artificial intelligence and thermodynamics help solving arson cases
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/55aecca502044dcdbe452cabcab9d3b0
work_keys_str_mv	AT sanderkorver artificialintelligenceandthermodynamicshelpsolvingarsoncases AT evaschouten artificialintelligenceandthermodynamicshelpsolvingarsoncases AT othonasamoultos artificialintelligenceandthermodynamicshelpsolvingarsoncases AT petervergeer artificialintelligenceandthermodynamicshelpsolvingarsoncases AT michielmpgrutters artificialintelligenceandthermodynamicshelpsolvingarsoncases AT leojcpeschier artificialintelligenceandthermodynamicshelpsolvingarsoncases AT thijsjhvlugt artificialintelligenceandthermodynamicshelpsolvingarsoncases AT mahinderramdin artificialintelligenceandthermodynamicshelpsolvingarsoncases
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Artificial intelligence and thermodynamics help solving arson cases

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