Items where contributor is "Arnold, Julian"
2022Veliz, Juan Carlos San Vicente and Arnold, Julian and Bemish, Raymond J. and Meuwly, Markus. (2022) Combining Machine Learning and Spectroscopy to Model Reactive Atom + Diatom Collisions. Journal of Physical Chemistry A, 126 (43). pp. 7971-7980. Arnold, Julian and Schäfer, Frank. (2022) Replacing Neural Networks by Optimal Analytical Predictors for the Detection of Phase Transitions. Physical Review X, 12 (3). 031044. 2021Arnold, Julian and San Vicente Veliz, Juan Carlos and Koner, Debasish and Singh, Narendra and Bemish, Raymond J. and Meuwly, Markus. (2021) Machine Learning Product State Distributions from Initial Reactant States for a Reactive Atom-Diatom Collision System. Journal of Chemical Physics, 156 (3). 034301. Arnold, J. and Schäfer, F. and Zonda, M. and Lode, A. U. J.. (2021) Interpretable and unsupervised phase classification. Physical Review Research, 3 (4). 033052. |