Step-by-step design guide of a cryogenic three-axis vector magnet

Kavli Affiliate: Simon Groblacher | First 5 Authors: Gaia Da Prato, Yong Yu, Ronald Bode, Simon Gröblacher, | Summary: A tunable magnetic field at low temperatures is essential for numerous applications, including spintronics, magnetic resonance imaging, and condensed matter physics. While commercial superconducting vector magnets are available, they are complex, expensive, and often not adaptable […]


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Curvature-Controlled Polarization in Adaptive Ferroelectric Membranes

Kavli Affiliate: Andrea D. Caviglia | First 5 Authors: Greta Segantini, Ludovica Tovaglieri, Chang Jae Roh, Chih-Ying Hsu, Seongwoo Cho | Summary: In this study, we explore the ferroelectric domain structure and mechanical properties of PbTiO$_3$-based membranes, which develops a well-ordered and crystallographic-oriented ripple pattern upon release from their growth substrate. The ferrolectric domain structure […]


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Prismatic-Bending Transformable (PBT) Joint for a Modular, Foldable Manipulator with Enhanced Reachability and Dexterity

Kavli Affiliate: Xiang Zhang | First 5 Authors: Jianshu Zhou, Junda Huang, Boyuan Liang, Xiang Zhang, Xin Ma | Summary: Robotic manipulators, traditionally designed with classical joint-link articulated structures, excel in industrial applications but face challenges in human-centered and general-purpose tasks requiring greater dexterity and adaptability. Addressing these limitations, we introduce the Prismatic-Bending Transformable (PBT) […]


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Scalable and Site-Specific Frequency Tuning of Two-Level System Defects in Superconducting Qubit Arrays

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Larry Chen, Kan-Heng Lee, Chuan-Hong Liu, Brian Marinelli, Ravi K. Naik | Summary: State-of-the-art superconducting quantum processors containing tens to hundreds of qubits have demonstrated the building blocks for realizing fault-tolerant quantum computation. Nonetheless, a fundamental barrier to scaling further is the prevalence of fluctuating quantum two-level […]


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Annihilation-limited Long-range Exciton Transport in High-mobility Conjugated Copolymer Films

Kavli Affiliate: Graham Fleming | First 5 Authors: Yuping Shi, Partha Roy, Naoki Higashitarumizue, Tsung-Yen Lee, Quanwei Li | Summary: A combination of ultrafast, long-range and low-loss excitation energy transfer from the photo-receptor location to a functionally active site is essential for cost-effective polymeric semiconductors. Delocalized electronic wavefunctions along {pi}-conjugated polymer backbone can enable efficient […]


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Surface-dominant transport in Weyl semimetal NbAs nanowires for next-generation interconnects

Kavli Affiliate: Zhiting Tian | First 5 Authors: Yeryun Cheon, Mehrdad T. Kiani, Yi-Hsin Tu, Sushant Kumar, Nghiep Khoan Duong | Summary: Ongoing demands for smaller and more energy efficient electronic devices necessitate alternative interconnect materials with lower electrical resistivity at reduced dimensions. Despite the emergence of many promising candidates, synthesizing high quality nanostructures remains […]


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Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Zhou Li, Kai Wan, Hua Sun, Mingyue Ji | Summary: Secure aggregation is motivated by federated learning (FL) where a cloud server aims to compute an averaged model (i.e., weights of deep neural networks) of the locally-trained models of numerous clients, while adhering to data […]


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High-Precision Transformer-Based Visual Servoing for Humanoid Robots in Aligning Tiny Objects

Kavli Affiliate: Wei Gao | First 5 Authors: Jialong Xue, Wei Gao, Yu Wang, Chao Ji, Dongdong Zhao | Summary: High-precision tiny object alignment remains a common and critical challenge for humanoid robots in real-world. To address this problem, this paper proposes a vision-based framework for precisely estimating and controlling the relative position between a […]


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A Foundational Potential Energy Surface Dataset for Materials

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Aaron D. Kaplan, Runze Liu, Ji Qi, Tsz Wai Ko, Bowen Deng | Summary: Accurate potential energy surface (PES) descriptions are essential for atomistic simulations of materials. Universal machine learning interatomic potentials (UMLIPs)$^{1-3}$ offer a computationally efficient alternative to density functional theory (DFT)$^4$ for PES modeling […]


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Visualizing the breakdown of the quantum anomalous Hall effect

Kavli Affiliate: Katja C. Nowack | First 5 Authors: George M. Ferguson, Run Xiao, Anthony R. Richardella, Austin Kaczmarek, Nitin Samarth | Summary: The creation of topologically non-trivial matter across electronic, mechanical, cold-atom, and photonic platforms is advancing rapidly, yet understanding the breakdown of topological protection remains a major challenge. In this work, we use […]


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