Julian Arnold

Short Curriculum Vitæ

2021 - Present	PhD at the University of Basel, under the supervision of Prof. Christoph Bruder Department of Physics, University of Basel, Basel, Switzerland
2019 - 2021	Master of Science in Nanosciences Master Thesis "Entropy production in ticking clocks" at the Institute for Theoretical Physics, ETH Zurich, supervisors: Dr. Mischa Prebin Woods, Prof. Renato Renner, and Prof. Christoph Bruder University of Basel, Basel, Switzerland
2016 - 2019	Bachelor of Science in Nanosciences University of Basel, Basel, Switzerland

Performance Bounds for Quantum Control
F. Holtorf, F. Schäfer, J. Arnold, C. Rackauckas, A. Edelman
arXiv:2304.03366
Combining Machine Learning and Spectroscopy to Model Reactive Atom + Diatom Collisions
J.C.S.V. Veliz, J. Arnold, R.J. Bemish, and M. Meuwly
J. Phys. Chem. A 126, 7971 (2022); arXiv:2209.0037
Modern applications of machine learning in quantum sciences
A. Dawid, J. Arnold et al.
arXiv:2204.04198
Replacing neural networks by optimal analytical predictors for the detection of phase transitions
J. Arnold and F. Schäfer
Phys. Rev. X 12, 031044 (2022); arXiv:2203.06084
Machine Learning Product State Distributions from Initial Reactant States for a Reactive Atom-Diatom Collision System
J. Arnold, J.C.S.V. Veliz, D. Koner, N. Singh, R.J. Bemish, and M. Meuwly
J. Chem. Phys. 156, 034301 (2022); arXiv:2111.03563
Interpretable and unsupervised phase classification
J. Arnold, F. Schäfer, M. Žonda, and A.U.J. Lode
Phys. Rev. Res. 3, 033052 (2021); arXiv:2010.04730
Machine Learning for Observables: Reactant to Product State Distributions for Atom–Diatom Collisions
J. Arnold, D. Koner, S. Käser, N. Singh, R.J. Bemish, and M. Meuwly
J. Phys. Chem. A 124, 7177 (2020); arxiv:2005.1446