27 citations · 119 across the 12 of their papers we have counts for
3 papers · 1 filter
Combining Machine Learning and Spectroscopy to Model Reactive Atom + Diatom Collisions
Juan Carlos San Vicente Veliz, Julian Arnold, Raymond J. Bemish +1
The prediction of product translational, vibrational, and rotational energy distributions for arbitrary initial conditions for reactive atom+diatom collisions is of considerable pr…
Modern applications of machine learning in quantum sciences
Anna Dawid, Julian Arnold, Borja Requena +26
In this book, we provide a comprehensive introduction to the most recent advances in the application of machine learning methods in quantum sciences. We cover the use of deep learn…
Replacing neural networks by optimal analytical predictors for the detection of phase transitions
Julian Arnold, Frank Schäfer
Identifying phase transitions and classifying phases of matter is central to understanding the properties and behavior of a broad range of material systems. In recent years, machin…