14 citations · 30 across the 3 of their papers we have counts for
4 papers
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics
Andreas Döpp, Christoph Eberle, Sunny Howard +3
Laser-plasma physics has developed rapidly over the past few decades as high-power lasers have become both increasingly powerful and more widely available. Early experimental and n…
Electron Acceleration and Radiation Generation from Relativistic Laser-Plasma Interactions at High Repetition-Rate
Jinpu Lin
This dissertation explores the interaction between high-intensity lasers and plasmas to accelerate electrons and produce radiation via experimental and computational efforts. The l…
Applications of object detection networks at high-power laser systems and experiments
Jinpu Lin, Florian Haberstroh, Stefan Karsch +1
The recent advent of deep artificial neural networks has resulted in a dramatic increase in performance for object classification and detection. While pre-trained with everyday obj…
Beyond optimization -- supervised learning applications in relativistic laser-plasma experiments
Jinpu Lin, Qian Qian, Jon Murphy +5
We explore the applications of machine learning techniques in relativistic laser-plasma experiments beyond optimization purposes. We predict the beam charge of electrons produced i…