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Julian Arnold

Showing results (1-10 of 5) with videos related to

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Risk (Concord, NH)|July 1, 1996
Promoting and managing genome innovationSuzanne A Sprunger, Gianna Julian-Arnold
Physical Review Letters|June 3, 2024
Mapping Out Phase Diagrams with Generative ClassifiersJulian Arnold, Frank Schäfer, Alan Edelman, et al.
The Journal of Physical Chemistry. A|October 19, 2022
Combining Machine Learning and Spectroscopy to Model Reactive Atom + Diatom CollisionsJuan Carlos San Vicente Veliz, Julian Arnold, Raymond J Bemish, et al.
The Journal of Physical Chemistry. A|July 24, 2020
Machine Learning for Observables: Reactant to Product State Distributions for Atom-Diatom CollisionsJulian Arnold, Debasish Koner, Silvan Käser, et al.
The Journal of Chemical Physics|January 23, 2022
Machine learning product state distributions from initial reactant states for a reactive atom-diatom collision systemJulian Arnold, Juan Carlos San Vicente Veliz, Debasish Koner, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Risk (Concord, NH)|July 1, 1996
Promoting and managing genome innovationSuzanne A Sprunger, Gianna Julian-Arnold
Physical Review Letters|June 3, 2024
Mapping Out Phase Diagrams with Generative ClassifiersJulian Arnold, Frank Schäfer, Alan Edelman, et al.
The Journal of Physical Chemistry. A|October 19, 2022
Combining Machine Learning and Spectroscopy to Model Reactive Atom + Diatom CollisionsJuan Carlos San Vicente Veliz, Julian Arnold, Raymond J Bemish, et al.
The Journal of Physical Chemistry. A|July 24, 2020
Machine Learning for Observables: Reactant to Product State Distributions for Atom-Diatom CollisionsJulian Arnold, Debasish Koner, Silvan Käser, et al.
The Journal of Chemical Physics|January 23, 2022
Machine learning product state distributions from initial reactant states for a reactive atom-diatom collision systemJulian Arnold, Juan Carlos San Vicente Veliz, Debasish Koner, et al.
Pageof 1