Kavli Affiliate: Jie Shan | First 5 Authors: Zhongdong Han, Zhongdong Han, , , | Summary: Topological Kondo insulators (TKIs) are topologically protected insulating states induced not by single-particle band inversions, but by the Kondo interaction between itinerant electrons and a lattice of local magnetic moments. Although experiments have suggested the emergence of three-dimensional (3D) […]

Kavli Affiliate: David A. Muller | First 5 Authors: Shannon S. Fender, Shannon S. Fender, , , | Summary: The interplay between symmetry and topology in magnetic materials makes it possible to engineer exotic phases and technologically useful properties. A key requirement for these pursuits is achieving control over local crystallographic and magnetic structure, usually […]

Kavli Affiliate: Grace Xing | First 5 Authors: Eungkyun Kim, Eungkyun Kim, , , | Summary: AlN has the largest bandgap in the wurtzite III-nitride semiconductor family, making it an ideal barrier for a thin GaN channel to achieve strong carrier confinement in field-effect transistors, analogous to silicon-on-insulator technology. Unlike SiO$_2$/Si/SiO$_2$, AlN/GaN/AlN can be grown […]

Kavli Affiliate: Jie Shan | First 5 Authors: Wenjin Zhao, Zui Tao, Yichi Zhang, Bowen Shen, Zhongdong Han | Summary: A Chern metal is a two-dimensional metallic state of matter carrying chiral edge states. It can emerge as a doped Chern insulator, but theoretical studies have also predicted its emergence near a Kondo breakdown separating […]

Kavli Affiliate: Darrell G. Schlom | First 5 Authors: Dan Ferenc Segedin, Jinkwon Kim, Harrison LaBollita, Nicole K. Taylor, Kyeong-Yoon Baek | Summary: Layered perovskites such as the Dion-Jacobson, Ruddlesden-Popper, and Aurivillius families host a wide range of correlated electron phenomena, from high-temperature superconductivity to multiferroicity. Here we report a new family of layered perovskites, […]

Kavli Affiliate: Johannes Lehmann | First 5 Authors: Christel Baier, Rio Klatt, Sascha Klüppelholz, Johannes Lehmann, | Summary: As the complexity of software systems rises, methods for explaining their behaviour are becoming ever-more important. When a system fails, it is critical to determine which of its components are responsible for this failure. Within the verification […]

Kavli Affiliate: David Muller | First 5 Authors: Lucas N. Alegre, Agon Serifi, Ruben Grandia, David Müller, Espen Knoop | Summary: Reinforcement learning (RL) has significantly advanced the control of physics-based and robotic characters that track kinematic reference motion. However, methods typically rely on a weighted sum of conflicting reward functions, requiring extensive tuning to […]

Kavli Affiliate: Dan Luo | First 5 Authors: Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong | Summary: Generative models, particularly diffusion model, have emerged as powerful tools for sequential recommendation. However, accurately modeling user preferences remains challenging due to the noise perturbations inherent in the forward and reverse processes of diffusion-based methods. […]

Kavli Affiliate: Debanjan Chowdhury | First 5 Authors: Omri Lesser, Sagnik Banerjee, Xuepeng Wang, Jaewon Kim, Ehud Altman | Summary: It is well known that disorder can induce low-energy Andreev bound states in a sign-changing, but fully gapped, superconductor at $pi-$junctions. Generically, these excitations are localized. Starting from a superconductor with a sign-changing and nodeless […]