Triangular-lattice quantum magnetic systems serve as a natural playground for geometric frustration, giving rise to fascinating phenomena. For example, Na2BaCo(PO4)2 has recently been reported to have an ideal triangular network of Co2+ ions, each carrying an effective spin of 1/2. The system is predicted to host the long-sought-after spin supersolid phase. Furthermore, a giant magnetocaloric effect has been observed in the demagnetization cooling process, exhibiting two prominent valley-like regimes, with the lowest temperature attaining below 100 mK. This finding opens an exciting avenue for applications in sub-Kelvin refrigeration. In this talk, we will present our recent research and plan that utilize density functional theory (DFT) and machine learning to explore new triangular-lattice quantum magnetic materials.

Biography

Prof. Xi Chen recieved her Ph.D. from the University of Chinese Academy of Sciences. From 2009 to 2022, she conducted research at various institutions, including the Institute of Material Physics and Material Chemistry at the French National Centre for Scientific Research and Aalto University in Finland. Since December 2022, She has been a professor in the School of Physical Science and Technology at Lanzhou University. She has published 40 articles in journals including Nature Communications, Journal of the American Chemical Society, and Angewandte Chemie International Edition. Her main research focuses on time-dependent density functional theory and machine learning algorithm.

Inviter: Wei Li