Work

Which molecular properties determine the impact sensitivity of an explosive? A machine learning quantitative investigation of nitroaromatic explosives

Year: 2023

Type: article

Abstract: Machine learning was used to rationalize the molecular origin of the impact sensitivity of nitroaromatic explosives.

Source: Physical Chemistry Chemical Physics

DOI: 10.1039/d2cp05339j

Authors: Julio Cesar Duarte, Romulo Dias da Rocha, Itamar Borges

Institution: Military Institute of Engineering

Language: English

Topic: Energetic Materials and Combustion

Subfield: Mechanics of Materials

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro

Awards: G1408223119, G2286822848, G237172224, G240633062, G3541193878, G3673905215, G371622060, G4153668855, G4990281181, G74437511

OpenAlex ID: W4320502344

FWCI: 3.783

Cites: 92

Cited by: 34

Related to: 10