Machine Learning for Energetic Materials I

FOCUS · K02 · ID: 1459402

Presentations

  • “Research output software for energetic materials based on observational modelling/ machine learning” (RoseBoom<sup>©</sup>)

    ORAL

    –

    Publication: Klapötke, T. M., Wahler, S., Zeitschrift für Naturforsch. B 2021, 76, 341–344.

    Parisi, E., Landi, A., Fusco, S., Manfredi, C., Peluso, A., Wahler, S., Klapötke, T. M., Centore, R., Inorg. Chem. 2021, 60, 16213–16222.
    Wahler, S., Klapötke, T. M., Research output software for energetic materials based on observational modelling 2.1 (RoseBoom2.1©), Mater. Adv. 2022, 3, 7976-7986

    Wahler, S., Klapötke, T. M., Research output software for energetic materials based on observational modelling 2.2 (RoseBoom2.2©) – update to calculate the specific impulse, detonation velocity, detonation pressure and density for CHNO mixtures using the Supersloth-function, Cent. Eur. J. Energ. Mater, 2022, 19(3): 295-310, 2022

    Wahler, S., Klapötke, T. M., RoseMortar-Equation – a universal equation to predict the strength of an explosive in a ballistic mortar test, , International Journal of Energetic Materials and Chemical Propulsion, 21(6):47–50 (2022)

    Wahler, S., Klapötke, T. M., RoseTrauzl-Equation – a universal equation to predict the strength of an explosive in a Trauzl-test, 2022, Journal of Energetic Materials, accepted Manuscript, https://doi.org/10.1080/07370652.2022.2150793

    Wahler, S.*, Klapötke, T. M., Chung, P., Training machine learning models based on the structural formula for the enthalpy of vaporization and sublimation and a thorough analysis of Trouton's rules., 2023, submitted Manuscript

    Wahler, S.*, Klapötke, T. M., Chung, P., Improved density predictions based on the structural formula using empirical modelling and machine learning, 2023, submitted Manuscript

    Wahler, S.*, Klapötke, T. M., Chung, P., A thorough study of Joback and Reid's Group additivity theory and new machine learning models to predict the enthalpy of formation of organic molecules, 2023, submitted Manuscript

    Wahler, S., Klapötke, T. M., Proud, W.G., Testing open-source tools for optical chemical structure recognition on novel nitrogen-rich energetic materials, 2023, submitted Manuscript

    Wahler, S., Klapötke, T. M., RoseSSRT-Equation – a simple linear correlation between the dent volume in a small scall-shock reactivity test and the heat of detonation, 2022, submitted Manuscript

    Wahler, S., Klapötke, T. M., RoseDent-Equation – a simple linear correlation between the dent in the plate dent test and the detonation pressure and the reason we shouldn't rely too much on calculated detonation pressures, 2022, submitted Manuscript

    Atceken, N., Wahler, S., Klapötke, T. M., A theoretical investigation of energetic abilities of nitrogen rich energetic materials in rocket propellant composites, 2022, submitted Manuscript

    Wahler, S., Klapötke, T. M., Comparison of the implemented detonation velocity predictions in the Research output software for energetic materials based on observational modelling (RoseBoom©) to 31 experimental values, 2022, submitted Manuscript

    Wahler, S., Klapötke, T. M., Representation of the seismic energy scale (RoseScale©), 2022, submitted Manuscript

    Wahler, S., Klapötke, T. M., The predictions of RoseBoom2.2© without the input of any data received from experiments or composite methods, 2022, submitted Manuscript

    Wahler, S., Klapötke, T. M., Comparison of the 478 specific impulses calculated with the ISPBKW code and 2 different empirical relationships encoded into RoseBoom©, submitted Manuscript

    Presenters

    • Sabrina Wahler

      LMU Munich, RoseExplosive UG

    Authors

    • Sabrina Wahler

      LMU Munich, RoseExplosive UG

    • William G Proud

      Imperial College London

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