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QUANTIFYING BOND STRENGTHS VIA A COULOMBIC FORCE MODEL: APPLICATION TO THE IMPACT SENSITIVITY OF NITROBENZENICS, NITROGEN-RICH NITROAZOLES AND NON-AROMATIC NITRAMINES MOLECULES
Vol 21, 2021 -141132 -
Machine Learning Applied to the Sensitivity of Explosives
Vol 21, 2021 -140670 -
Molecular dynamics investigation of the near critical behavior of halogens: thermodynamic and transport properties
Vol 21, 2021 -141739 -
Modeling the stabilizing effects in energetic materials of diphenyl-amine and curcumin
Vol 21, 2021 -141050
Publications in other proceedings
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SBQT 2023
STUDY OF THE CORRELATION BETWEEN HAMMETT CONSTANTS AND NITROBENZENES SENSITIVITY (h50)
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SBQT 2023
Experimental and molecular dynamics simulation ESI-CID spectrum of a Novichok nerve agent analog
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SBQT 2023
Hammett’s Analysis of Substituent Effects in Functionalized Diketopyrrolopyrrole (DPP) Systems
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SBQT 2023
Applications of machine learning to chemistry: new Hammett’s constants, sensitivity of energetic materials and organic photovoltaics
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SBQT 2023
Absorption Spectra of p-Nitroaniline Derivatives: Charge Transfer Effects and the Role of Substituents using Hammett’s Theory
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