Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 43 min ago
PreprintCC BY 4.0arXiv

Validation of an Ab Initio-Informed Electronic Stopping Model for Large-Scale Atomistic Simulations

Abstract

Accurately modeling nonadiabatic electronic energy dissipation in atomistic simulations of radiation damage remains a key challenge. Existing models often rely on arbitrary thresholds and neglect trajectory-dependent, band-structure, and nonlinear effects. A model developed by Tamm \textit{et al.} (\href{https://doi.org/10.1103/PhysRevLett.120.185501}{doi:10.1103/PhysRevLett.120.185501}) offers a nonempirical description of electronic dissipation for atomistic simulations, but has not been directly benchmarked in the electronic stopping regime. We present the first such benchmark via the comparison of atomistic simulations with experimental ion transmission experiments. The model accurately captures the magnitude and trajectory-dependence of the predicted energy losses. These results support the reliability of the model for predictive large-scale atomistic simulations of radiation cascades.

Related

  1. Aitomia: An Agentic Framework for AI-Driven Atomistic and Quantum Chemical Simulations
    Jinming Hu, Hassan Nawaz, Yi-Fan Hou +6
    Journal of Chemical Theory and ComputationPeer-reviewedLicence not statedFull text23 citedAtomic, molecular & optical physicsOpenAlex
  2. VoroTypes: automated enumeration of Voronoi cell topologies for structural identification of complex crystals in atomistic simulations
    Emanuel A. Lazar, Chris H. Rycroft
    arXivPreprintarXiv licenceFull textComputational physicsCondensed matterarXiv
  3. Atomistic Origin of Structural, Vibrational, and Electronic Fingerprints in Iminopyridine Iron(II) Dichloride Complexes.
    Anna Maria Fovanna, Giuseppe Leone, Marco Cavazzini +2
    Inorganic chemistryPeer-reviewedCC BYFull textAtomic, molecular & optical physicsEurope PMC
  4. An Extensible Agentic Framework for Expert-Level Automation of Atomistic Simulations
    Yutack Park, Yeonwoo Chung, Jinmu You +3
    arXivPreprintarXiv licenceFull textCondensed matterarXiv
  5. Development of a Physics-Informed Neural Framework, MEOWN, for Rapid Prediction of Muon Stopping Sites in Crystalline Materials, for understanding Quantum Magnet employing Muon Spectroscopy
    A. Pandey, K. Sharma, S. Ghosh +2
    arXivPreprintCC BY 4.0Full textMathematical physicsComputational physicsarXiv
BibTeX
@misc{kiely2026validation,
  title = {{Validation of an Ab Initio-Informed Electronic Stopping Model for Large-Scale Atomistic Simulations}},
  author = {Glen P. Kiely and Rafael Nuñez-Palacio and Andrea E. Sand},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.21559},
  eprint = {2609.21559},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.21559},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Validation of an Ab Initio-Informed Electronic Stopping Model for Large-Scale Atomistic Simulations
AU  - Glen P. Kiely
AU  - Rafael Nuñez-Palacio
AU  - Andrea E. Sand
PY  - 2026
DA  - 2026/09/18
PB  - arXiv
DO  - 10.48550/arxiv.2609.21559
UR  - https://arxiv.org/abs/2609.21559
AB  - Accurately modeling nonadiabatic electronic energy dissipation in atomistic simulations of radiation damage remains a key challenge. Existing models often rely on arbitrary thresholds and neglect trajectory-dependent, band-structure, and nonlinear effects. A model developed by Tamm \textit{et al.} (\href{https://doi.org/10.1103/PhysRevLett.120.185501}{doi:10.1103/PhysRevLett.120.185501}) offers a nonempirical description of electronic dissipation for atomistic simulations, but has not been directly benchmarked in the electronic stopping regime. We present the first such benchmark via the comparison of atomistic simulations with experimental ion transmission experiments. The model accurately captures the magnitude and trajectory-dependence of the predicted energy losses. These results support the reliability of the model for predictive large-scale atomistic simulations of radiation cascades.
ER  -