| 1 |
Modeling Sensitivities of Energetic Materials using the Python Language and Libraries
Mathieu D
Propellants Explosives Pyrotechnics, 45(6), 966, 2020 |
| 2 |
Molecular dynamics simulation of gaseous nitroaromatic compounds interacting with silica surfaces under various humidity conditions
Khanniche S, Mathieu D, Barthet C, Pereira F, Hairault L
Applied Surface Science, 455, 533, 2018 |
| 3 |
Accurate or Fast Prediction of Solid-State Formation Enthalpies Using Standard Sublimation Enthalpies Derived From Geometrical Fragments
Mathieu D
Industrial & Engineering Chemistry Research, 57(41), 13856, 2018 |
| 4 |
Sensitivity of Energetic Materials: Theoretical Relationships to Detonation Performance and Molecular Structure
Mathieu D
Industrial & Engineering Chemistry Research, 56(29), 8191, 2017 |
| 5 |
Reliable and Versatile Model for the Density of Liquids Based on Additive Volume Increments
Mathieu D, Bouteloup R
Industrial & Engineering Chemistry Research, 55(50), 12970, 2016 |
| 6 |
Insight into the contribution of individual functional groups to the flash point of organic compounds
Mathieu D, Alaime T
Journal of Hazardous Materials, 267, 169, 2014 |
| 7 |
Predicting Impact Sensitivities of Nitro Compounds on the Basis of a Semi-empirical Rate Constant
Mathieu D, Alaime T
Journal of Physical Chemistry A, 118(41), 9720, 2014 |
| 8 |
Power Law Expressions for Predicting Lower and Upper Flammability Limit Temperatures
Mathieu D
Industrial & Engineering Chemistry Research, 52(26), 9317, 2013 |
| 9 |
Toward a Physically Based Quantitative Modeling of Impact Sensitivities
Mathieu D
Journal of Physical Chemistry A, 117(10), 2253, 2013 |
| 10 |
Simple Alternative to Neural Networks for Predicting Sublimation Enthalpies from Fragment Contributions
Mathieu D
Industrial & Engineering Chemistry Research, 51(6), 2814, 2012 |
