Work

Monte Carlo-based QSPR modeling of drop-weight impact sensitivity of energetic materials using hybrid SMILES–graph descriptors

Year: 2026

Type: article

Abstract: A hybrid SMILES–graph descriptor enables prediction of drop-weight impact sensitivity for 515 energetic compounds using a compact CORAL-based QSPR approach.

Source: RSC Advances

DOI: 10.1039/d6ra07617c

Authors: Shahram Lotfi, Shahin Ahmadi, Parvin Kumar

Institutions: Payame Noor University, Islamic Azad University, Tehran, Kurukshetra University

Language: English

Topic: Energetic Materials and Combustion

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,042

OpenAlex ID: W7221751885

FWCI:

Cites: 54

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Related to: 10