David Williams
Présentation
ORCID: 0000-0001-9627-5647
Web of Science: AFR-4512-2022 Postdoctoral researcher with a focus on developing efficient artificial neural network based approaches for accurate, high dimensional excited state dynamics.Past Employment
Research Interests
Education
Compétences
Publications
Publications
Accurate coupled potential energy surfaces: transcending vibronic coupling with artificial neural networksInvited seminar, CIMAP, Nov 2024, Caen, France |
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A "post vibronic coupling ansatz" for accurate diabatic potentialsTHEMOSIA Western Pole scientific day (2024), Dec 2024, Rennes, France |
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Beyond Ultra-Fast Processes: Accurate Coupled Potential Energy SurfacesInvited seminar, Strasbourg Institute of Chemistry, Nov 2024, Strasbourg, France |
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Spectroscopy of Radicals: Representation of Operators in presence of Non-adiabatic EffectsTHEMOSIA Western Pole scientific day (2025), https://rfct-pole-ouest.cnrs.fr/scientific-meetings/info-program/, Dec 2024, Nantes, France |
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Analytical and Numerical Pathways Towards Understanding Nonadiabatic DynamicsInvited seminar, Institut Charles Gerhardt Montpellier, Dec 2023, Montpellier, France |
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Efficient Nonadiabatic Dynamics with Neural Network Based Coupled Potential Energy SurfacesInvited Seminar, CEISAM Lab, Mar 2023, Nantes, France |
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Dynamics on accurate coupled artificial neural network based potential surfaces : NO_3^- photodetachment spectra7th High Dimensional Quantum Dynamics (HDQD), https://www.hdqd2022.org/, Jul 2022, Groningen, Netherlands |
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Artificial Neural Networks: Toward Efficient Nonadiabatic Dynamics with Coupled Potential Energy SurfacesAmerican Conference on Theoretical Chemistry, https://www.actc2022.com/, Jul 2022, Palisades Tahoe, United States |
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Photodetachment spectrum of NO3-: Jahn-Teller effect and artificial neuron networkCECAM2021 : Modeling dilute matter under ultracold solvent: from quantum structure to dynamics and reactivity, May 2021, Grenoble, France |
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Symmetry, geometric phase and spectroscopyElectronic Structure, Dynamics & Spectroscopy (Domcke's 70th Birthday), Apr 2018, Garching, Germany |
Neural Network coupled potential and dipole surfaces for interstellar molecules24th European Conference on the Dynamics of Molecular Systems - MOLEC2024, Jun 2024, Aarhus, Denmark |
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Representing non-A_1 Operators:C_nv Diabatic Dipole Transition SurfacesTHEMOSIA Western Pole scientific day (2024), Dec 2024, Rennes, France |
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The Molecular Foucault Pendulum: What is a "Geometric Phase"?ERRIE “European Responsible Research and Innovation Event” 2024, Oct 2024, Rennes, France |
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Diabatic potential energy surfaces for Renner-Teller systems using Artificial Neural Networks8th High Dimensional Quantum Dynamics (HDQD), Jul 2024, Hamburg, Germany |
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Representing non-A_1 Operators:C_nv Diabatic Dipole Transition Surfaces8th High Dimensional Quantum Dynamics (HDQD), Jul 2024, Hamburg, Germany |
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On the vibronic level structure of cubic point groups8th High Dimensional Quantum Dynamics (HDQD), Jul 2024, Hamburg, Germany |
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Efficient Nonadiabatic Dynamics with Artificial Neural NetworksAmerican Conference on Theoretical Chemistry, Jul 2022, Palisades Tahoe, United States |
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Accurate vibronic quantum dynamics of NO3 using a diabatic neural network potential22nd European Conference on the Dynamics of Molecular Systems, Aug 2018, Dinard, France |
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Neural Network Diabatization: A new ansatz for high-dimensional coupled potential energy surfacesSymposium on Theoretical Chemistry, Aug 2017, Basel, Switzerland |
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Conquering coupled diabatic potential energy surfaces with artificial neural networks for nonadiabatic dynamicsChemical Sciences. University of Bielefed, 2020. English. ⟨NNT : ⟩ |