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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A Hybrid CNN-Transformer Model for Heart Disease Prediction Using Life History Data

Kavli Affiliate: Ting Xu | First 5 Authors: Ran Hao, Yanlin Xiang, Junliang Du, Qingyuan He, Jiacheng Hu | Summary: This study proposed a hybrid model of a convolutional neural network (CNN) and a Transformer to predict and diagnose heart disease. Based on CNN’s strength in detecting local features and the Transformer’s high capacity in […]


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ReaderLM-v2: Small Language Model for HTML to Markdown and JSON

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Zesheng Shi, Bo Wang, Nan Wang, Han Xiao | Summary: We present ReaderLM-v2, a compact 1.5 billion parameter language model designed for efficient web content extraction. Our model processes documents up to 512K tokens, transforming messy HTML into clean Markdown or JSON formats with high […]


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ATMO: An Aerially Transforming Morphobot for Dynamic Ground-Aerial Transition

Kavli Affiliate: Morteza Gharib | First 5 Authors: Ioannis Mandralis, Reza Nemovi, Alireza Ramezani, Richard M. Murray, Morteza Gharib | Summary: Designing ground-aerial robots is challenging due to the increased actuation requirements which can lead to added weight and reduced locomotion efficiency. Morphobots mitigate this by combining actuators into multi-functional groups and leveraging ground transformation […]


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Collective Neutrino Oscillations in Three Flavors on Qubit and Qutrit Processors

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Luca Spagnoli, Noah Goss, Alessandro Roggero, Ermal Rrapaj, Michael J. Cervia | Summary: Collective neutrino flavor oscillations are of primary importance in understanding the dynamic evolution of core-collapse supernovae and subsequent terrestrial detection, but also among the most challenging aspects of numerical simulations. This situation is complicated […]


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