6 Publikationen

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  • [6]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2952464
    Viel A, Williams D, Eisfeld W (2021)
    Accurate quantum dynamics simulation of the photodetachment spectrum of the nitrate anion (NO3-) based on an artificial neural network diabatic potential model.
    The Journal of chemical physics 154(8): 084302.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [5]
    2020 | Dissertation | PUB-ID: 2956232
    Williams D (2020)
    Conquering coupled diabatic potential energy surfaces with artificial neural networks for nonadiabatic dynamics.
    Bielefeld: Universität Bielefeld.
    PUB
     
  • [4]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2946755
    Williams D, Eisfeld W (2020)
    Complete Nuclear Permutation Inversion Invariant Artificial Neural Network (CNPI-ANN) Diabatization for the Accurate Treatment of Vibronic Coupling Problems.
    Journal of Physical Chemistry A 124(37): 7608-7621.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [3]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2939038
    Williams D, Viel A, Eisfeld W (2019)
    Diabatic neural network potentials for accurate vibronic quantum dynamics-The test case of planar NO3.
    The Journal of chemical physics 151(16): 164118.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [2]
    2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2937244
    Weike T, Williams D, Viel A, Eisfeld W (2019)
    Quantum dynamics and geometric phase in Ee Jahn-Teller systems with general Cnv symmetry.
    The Journal of chemical physics 151(7): 074302.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [1]
    2018 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2932761
    Williams D, Eisfeld W (2018)
    Neural network diabatization: A new ansatz for accurate high-dimensional coupled potential energy surfaces.
    JOURNAL OF CHEMICAL PHYSICS 149(20): 204106.
    PUB | DOI | WoS | PubMed | Europe PMC
     

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