Qichen Xu

Qichen Xu is a Research Fellow at the Department of PHYSICS OF LIGHT AND MATTER within the Royal Institute of Technology (KTH). His work focuses on advanced materials science and computational magnetism, with specializations in spintronics, metamaterials, and machine learning-driven materials discovery. He has developed tools like SpinView for visual analysis of magnetic systems and contributed to understanding exotic spin textures like skyrmions through algorithmic approaches.

Research Interests include computational modeling of magnetic materials, optimization of energy systems via metamaterials, and applying machine learning to accelerate materials design. His recent work explores chemical disorder effects in FeCo alloys, skyrmion-based metamaterial design, and high-throughput screening of halide perovskites for energy applications.

Notable contributions span 14+ peer-reviewed articles (2018–2024) addressing topics from near-field thermophotovoltaic systems to genetic-algorithm-driven energy optimization. While no formal awards are listed, his work demonstrates significant impact in interdisciplinary fields combining physics, materials science, and AI.

Advising and grants sections are pending further information, though his involvement in collaborative projects like SpinView suggests active team-based research. Part of KTH’s cutting-edge Physics of Light and Matter group, his research bridges fundamental physics and applied technology development in energy and spintronics domains.