Low-energy domain wall racetracks with multiferroic topologies

Kavli Affiliate: Darrell Schlom | First 5 Authors: Arundhati Ghosal, Arundhati Ghosal, , , | Summary: Conventional racetrack memories move information by pushing magnetic domain walls or other spin textures with spin-polarized currents, but the accompanying Joule heating inflates their energy budget and can hamper scaling. Here we present a voltage-controlled, magnetoelectric racetrack in which […]


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3D Atomic-Scale Metrology of Strain Relaxation and Roughness in Gate-All-Around (GAA) Transistors via Electron Ptychography

Kavli Affiliate: David A. Muller | First 5 Authors: Shake Karapetyan, Shake Karapetyan, , , | Summary: To improve transistor density and electronic performance, next-generation semiconductor devices are adopting three-dimensional architectures and feature sizes down to the few-nm regime, which require atomic-scale metrology to identify and resolve performance-limiting fabrication challenges. X-ray methods deliver three-dimensional imaging […]


Continue.. 3D Atomic-Scale Metrology of Strain Relaxation and Roughness in Gate-All-Around (GAA) Transistors via Electron Ptychography

Evidence of topological Kondo insulating state in MoTe2/WSe2 moiré bilayers

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) […]


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Unconventional superlattice ordering in intercalated transition metal dichalcogenide V$_1/3$NbS$_2$

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 […]


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XHEMTs on Ultrawide Bandgap Single-Crystal AlN Substrates

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 […]


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Topotactic oxidation of Ruddlesden-Popper nickelates reveals new structural family: oxygen-intercalated layered perovskites

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, […]


Continue.. Topotactic oxidation of Ruddlesden-Popper nickelates reveals new structural family: oxygen-intercalated layered perovskites

Backward Responsibility in Transition Systems Beyond Safety

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 […]


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AMOR: Adaptive Character Control through Multi-Objective Reinforcement Learning

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 […]


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Flow Matching based Sequential Recommender Model

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. […]


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