Ewan Dolier

Ewan Dolier is a Research Fellow in the Department of Physics at the University of Strathclyde, Faculty of Science. He is actively involved in cutting-edge research on laser-driven ion acceleration and plasma physics, working within the SCAPA (Scottish Centre for the Application of Plasma-based Accelerators) facility. His work bridges experimental physics and machine learning techniques to optimize and diagnose high-energy particle beams.

His research interests include:

• Laser-Plasma Interactions
• Machine Learning for Physics Optimization
• Proton and Ion Beam Acceleration
• Synthetic Diagnostics using Neural Networks
• High Repetition Rate Laser Systems
• Relativistic Transparency Regime Physics

The recent trend in his publications shows a strong focus on integrating artificial intelligence and deep learning models into the control and analysis of laser-driven particle acceleration experiments. His work spans experimental design, data-driven optimization, and advanced diagnostics using scintillating fiber spectrometers and synthetic models.

His scientific contributions have been presented at major plasma physics conferences and published in high-impact journals such as Communications Physics and High Power Laser Science and Engineering.

Notable projects include:

• External Experiment at the Gemini High-Power Laser Facility (Deep Learning for Ion Acceleration)
• Development of High Repetition-Rate Target Systems at SCAPA
• Doctoral Training Partnership research (2019–2024)

He collaborates extensively with leading researchers such as Paul McKenna and Ross Gray, and contributes to multi-investigator datasets and simulations. Ewan Dolier completed his PhD in 2024 with a thesis on advancing laser-driven ion acceleration using machine learning and instability analysis.