Tootfinder

Interplay of short-range bond order and A-type antiferromagnetic order in metallic triangular lattice GdZn$_3$P$_3$
Jiesen Guo, Fan Yang, Yuzhou He, Xinyang Liu, Zheng Deng, Qinghua Zhang, Xiancheng Wang, Xianlei Sheng, Wei Li, Changqing Jin, Kan Zhao
https://arxiv.org/abs/2507.11468

Interplay of short-range bond order and A-type antiferromagnetic order in metallic triangular lattice GdZn$_3$P$_3$
We investigate a hexagonal ScAl$_3$C$_3$-type antiferromagnet GdZn$_3$P$_3$ single crystal. Compared with antiferromagnetic topological material EuM$_2$X$_2$ (M=Zn, Cd; X=P, As), the GdZn$_3$P$_3$ features an additional ZnP$_3$ trigonal planar units. Notably, single-crystal X-ray diffraction analysis reveals that Zn and P atoms within trigonal planar layer exhibit significant anisotropic displacement parameters with a space group of P63/mmc. Meanwhile, scanning transmission electron microscopy …

Efficient high-quality photon pair generation in modal phase-matched thin-film lithium niobate micro-ring resonators
Tingting Chen, Feihong Xue, Ryan Hogan, Xiaofei Ma, Jiaxuan Zhou, Yule Zhao, Yanling Xiao, Zhilin Ye, Chong Sheng, Qiang Wang, Shining Zhu, Hui Liu
https://arxiv.org/abs/2508.05983

Efficient high-quality photon pair generation in modal phase-matched thin-film lithium niobate micro-ring resonators
Efficient generation of high-quality photon pairs is essential for modern quantum technologies. Micro-ring resonator is an ideal platform for studying on-chip photon sources due to strong nonlinear effect, resonant-enhanced optical fields, and high integration. Thin-film lithium niobate (TFLN) micro-ring resonators with periodically poled quasi-phase matching have shown high-quality photon pair generation. However, periodic poling technology remains expensive and requires complex fabrication hi…

Separate-scan atomic force microscope for fast infrared scattering-type scanning near-field optical microscope
Yusuke Sakiyama, Emanuel Pfitzner, Santiago H. Andany, Georg E. Fantner, Joachim Heberle
https://arxiv.org/abs/2508.02877

Separate-scan atomic force microscope for fast infrared scattering-type scanning near-field optical microscope
Pseudo-heterodyne scattering-type scanning near-field optical microscopy (sSNOM) is applied in the mid-infrared region to detect the chemical composition of biomolecules on the nanoscale. However, the application of sSNOM in molecular biology has been limited to static images in air. Recently, bottom illumination sSNOM (BI-sSNOM) was developed for operation in water. Yet, the scan rate of sSNOM remains a bottleneck to record protein structural changes in aqueous solution on the seconds time sca…

Surface reconstruction and orthogonal decoupling in SrAl4 and EuAl4
Tongrui Li, Leiyuan Chen, Jian Yuan, Zhengtai Liu, Yichen Yang, Zhicheng Jiang, Jianyang Ding, Jiayu Liu, Jishan Liu, Zhe Sun, Yanfeng Guo, Tong Zhang, Dawei Shen
https://arxiv.org/abs/2509.04742

Surface reconstruction and orthogonal decoupling in SrAl4 and EuAl4
Surface-induced symmetry breaking in quantum materials can stabilize exotic electronic phases distinct from those in the bulk, yet its momentum-space manifestations remain elusive due to domain-averaging effects. Here, using angle-resolved photoemission spectroscopy (ARPES) and scanning tunneling microscopy (STM), we present a microscopic investigation of the electronic structures of SrAl4 and EuAl4, layered tetragonal intermetallic compounds that exhibit well-characterized incommensurate charg…

MetaCLIP 2: A Worldwide Scaling Recipe
Yung-Sung Chuang, Yang Li, Dong Wang, Ching-Feng Yeh, Kehan Lyu, Ramya Raghavendra, James Glass, Lifei Huang, Jason Weston, Luke Zettlemoyer, Xinlei Chen, Zhuang Liu, Saining Xie, Wen-tau Yih, Shang-Wen Li, Hu Xu
https://arxiv.org/abs/2507.22062

MetaCLIP 2: A Worldwide Scaling Recipe
Contrastive Language-Image Pretraining (CLIP) is a popular foundation model, supporting from zero-shot classification, retrieval to encoders for multimodal large language models (MLLMs). Although CLIP is successfully trained on billion-scale image-text pairs from the English world, scaling CLIP's training further to learning from the worldwide web data is still challenging: (1) no curation method is available to handle data points from non-English world; (2) the English performance from existin…

A Comprehensive Review of Human Error in Risk-Informed Decision Making: Integrating Human Reliability Assessment, Artificial Intelligence, and Human Performance Models
Xingyu Xiao, Hongxu Zhu, Jingang Liang, Jiejuan Tong, Haitao Wang
https://arxiv.org/abs/2507.01017

A Comprehensive Review of Human Error in Risk-Informed Decision Making: Integrating Human Reliability Assessment, Artificial Intelligence, and Human Performance Models
Human error remains a dominant risk driver in safety-critical sectors such as nuclear power, aviation, and healthcare, where seemingly minor mistakes can cascade into catastrophic outcomes. Although decades of research have produced a rich repertoire of mitigation techniques, persistent limitations: scarce high-quality data, algorithmic opacity, and residual reliance on expert judgment, continue to constrain progress. This review synthesizes recent advances at the intersection of risk-informed …

Micromobility Flow Prediction: A Bike Sharing Station-level Study via Multi-level Spatial-Temporal Attention Neural Network
Xi Yang, Jiachen Wang, Song Han, Suining He
https://arxiv.org/abs/2507.16020

Micromobility Flow Prediction: A Bike Sharing Station-level Study via Multi-level Spatial-Temporal Attention Neural Network
Efficient use of urban micromobility resources such as bike sharing is challenging due to the unbalanced station-level demand and supply, which causes the maintenance of the bike sharing systems painstaking. Prior efforts have been made on accurate prediction of bike traffics, i.e., demand/pick-up and return/drop-off, to achieve system efficiency. However, bike station-level traffic prediction is difficult because of the spatial-temporal complexity of bike sharing systems. Moreover, such level …

Large Language Models (LLMs) for Electronic Design Automation (EDA)
Kangwei Xu, Denis Schwachhofer, Jason Blocklove, Ilia Polian, Peter Domanski, Dirk Pfl\"uger, Siddharth Garg, Ramesh Karri, Ozgur Sinanoglu, Johann Knechtel, Zhuorui Zhao, Ulf Schlichtmann, Bing Li
https://arxiv.org/abs/2508.20030…

Large Language Models (LLMs) for Electronic Design Automation (EDA)
With the growing complexity of modern integrated circuits, hardware engineers are required to devote more effort to the full design-to-manufacturing workflow. This workflow involves numerous iterations, making it both labor-intensive and error-prone. Therefore, there is an urgent demand for more efficient Electronic Design Automation (EDA) solutions to accelerate hardware development. Recently, large language models (LLMs) have shown remarkable advancements in contextual comprehension, logical …

Tapping-mode SQUID-on-tip Microscopy with Proximity Josephson Junctions
Matthijs Rog, Tycho J. Blom, Daan B. Boltje, Jimi D. de Haan, Remko Fermin, Jiasen Niu, Yasmin C. Doedes, Milan P. Allan, Kaveh Lahabi
https://arxiv.org/abs/2508.21575

Tapping-mode SQUID-on-tip Microscopy with Proximity Josephson Junctions
Studying nanoscale dynamics is essential for understanding quantum materials and advancing quantum chip manufacturing. Still, it remains a major challenge to measure non-equilibrium properties such as current and dissipation, and their relation to structure. Scanning nanoprobes utilizing superconducting quantum interference devices (SQUIDs) are uniquely suited here, due to their unparalleled magnetic and thermal sensitivity. Here, we introduce tapping-mode SQUID-on-tip, which combines atomic fo…

Engineering Quantum Wire States for Atom Scale Circuitry
Max Yuan, Lucian Livadaru, Roshan Achal, Jason Pitters, Furkan Altincicek, Robert Wolkow
https://arxiv.org/abs/2507.02123 …

Engineering Quantum Wire States for Atom Scale Circuitry
Recent advances in hydrogen lithography on silicon surfaces now enable the fabrication of complex and error-free atom-scale circuitry. The structure of atomic wires, the most basic and common circuit elements, plays a crucial role at this scale, as the exact position of each atom matters. As such, the characterization of atomic wire geometries is critical for identifying the most effective configurations. In this study, we employed low-temperature (4.5 K) scanning tunneling microscopy (STM) and…