Tootfinder

Streamline controlled rectification of supercurrent in thin-film asymmetric weak links
Filippo Antola, Sebastiano Battisti, Alessandro Braggio, Francesco Giazotto, Giorgio De Simoni
https://arxiv.org/abs/2507.12280

Streamline controlled rectification of supercurrent in thin-film asymmetric weak links
In this study, we examined the supercurrent diode effect (SDE) in mesoscopic superconducting weak links formed by asymmetric Dayem bridges. These planar metallic constrictions, which naturally exhibit Josephsonlike behavior, offer a fundamental platform for investigating nonreciprocal transport phenomena in a regime where the bridge width aligns with the superconducting coherence length. The foundational concept is inspired by the Tesla valve, a classical fluidic device that achieves flow recti…

Is Sparse Matrix Reordering Effective for Sparse Matrix-Vector Multiplication?
Omid Asudeh, Sina Mahdipour Saravani, Gerald Sabin, Fabrice Rastello, P Sadayappan
https://arxiv.org/abs/2506.10356

Is Sparse Matrix Reordering Effective for Sparse Matrix-Vector Multiplication?
This work evaluates the impact of sparse matrix reordering on the performance of sparse matrix-vector multiplication across different multicore CPU platforms. Reordering can significantly enhance performance by optimizing the non-zero element patterns to reduce total data movement and improve the load-balancing. We examine how these gains vary over different CPUs for different reordering strategies, focusing on both sequential and parallel execution. We address multiple aspects, including appro…

Analysing semantic data storage in Distributed Ledger Technologies for Data Spaces
Juan Cano-Benito, Andrea Cimmino, Sven Hertling, Heiko Paulheim, Ra\'ul Garc\'ia-Castro
https://arxiv.org/abs/2507.07116

Analysing semantic data storage in Distributed Ledger Technologies for Data Spaces
Data spaces are emerging as decentralised infrastructures that enable sovereign, secure, and trustworthy data exchange among multiple participants. To achieve semantic interoperability within these environments, the use of semantic web technologies and knowledge graphs has been proposed. Although distributed ledger technologies (DLT) fit as the underlying infrastructure for data spaces, there remains a significant gap in terms of the efficient storage of semantic data on these platforms. This p…

CEMP: a platform unifying high-throughput online calculation, databases and predictive models for clean energy materials
Jifeng Wang, Jiazhe Ju, Ying Wang
https://arxiv.org/abs/2507.04423

CEMP: a platform unifying high-throughput online calculation, databases and predictive models for clean energy materials
The development of materials science is undergoing a shift from empirical approaches to data-driven and algorithm-oriented research paradigm. The state-of-the-art platforms are confined to inorganic crystals, with limited chemical space, sparse experimental data and a lack of integrated online computation for rapid validation. Here, we introduce the Clean Energy Materials Platform (CEMP), an open-access platform that integrates high-throughput computing workflows, multi-scale machine learning (…

Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models
Qingyi Lu, Haotian Lyu, Jiayun Zheng, Yang Wang, Li Zhang, Chengrui Zhou
https://arxiv.org/abs/2506.06336

Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models
As e-commerce platforms expand their product catalogs, accurately recommending long-tail items becomes increasingly important for enhancing both user experience and platform revenue. A key challenge is the long-tail problem, where extreme data sparsity and cold-start issues limit the performance of traditional recommendation methods. To address this, we propose a novel long-tail product recommendation mechanism that integrates product text descriptions and user behavior sequences using a large-…

Jeg kommer lige fra Klog på Sprog som denne gang handlede om politiafhŸringer og (u)muligheden af at afgŸre om folk lyver på sproglige og nonverbale træk alene. Lyt med for at hŸre Svend Foldager fortælle om den gamle Solbakke-sag og hvor horribelt den blev håndteret efterforskningsmæssigt. (Heldigvis er det ikke sådan man afhŸrer længere herhjemme).
#retslingvistik

Blaine Cook, an original Twitter architect is one of the backers of the new Canadian social platform #Gander
https://www.theglobeandmail.com/busi…

Tech leaders ready launch of Canadian social-media platform Gander to buck U.S. dominance
Founders aim to create alternative that addresses content, data sovereignty concerns

Gate reflectometry in a minimal Kitaev chain device
Yining Zhang, Ivan Kulesh, Sebastiaan L. D. ten Haaf, Nick van Loo, Francesco Zatelli, Tijl Degroote, Christian G. Prosko, Srijit Goswami
https://arxiv.org/abs/2508.06403

Gate reflectometry in a minimal Kitaev chain device
Hybrid quantum dot (QD)-superconductor system can be used to realize Majorana zero modes in artificial Kitaev chains. These chains provide a promising platform for the realization of Majorana qubits. Radio-frequency (RF) gate reflectometry is a fast, non-invasive, and sensitive technique that can be used to read out such qubits. In this work, we use gate reflectometry to probe two QDs coupled via a semiconductor-superconductor hybrid segment. We demonstrate that gate sensing can resolve charge …

Dual-mode superconducting diode effect enabled by in-plane and out-of-plane magnetic field
Chengyu Yan, Huai Guan, Zhenyu Zhang, Yiheng Sun, Qiao Chen, Xinming Zhao, Chuanwen Zhao, James Jun He, Shun Wang
https://arxiv.org/abs/2506.07354

Dual-mode superconducting diode effect enabled by in-plane and out-of-plane magnetic field
The discovery of the superconducting diode effect (SDE) has been cherished as a milestone in developing superconducting electronics. Tremendous efforts are being dedicated to realizing SDE in a wide variety of material platforms. Despite the diversity in the hosting materials and device designs, SDE is usually operated in a single mode which is enabled by either out-of-plane or in-plane magnetic field/magnetization. In this work, we report the realization of a dual-mode SDE in 2H-$\mathrm{NbS_2…

Big Data-Driven Fraud Detection Using Machine Learning and Real-Time Stream Processing
Chen Liu, Hengyu Tang, Zhixiao Yang, Ke Zhou, Sangwhan Cha
https://arxiv.org/abs/2506.02008 …

Big Data-Driven Fraud Detection Using Machine Learning and Real-Time Stream Processing
In the age of digital finance, detecting fraudulent transactions and money laundering is critical for financial institutions. This paper presents a scalable and efficient solution using Big Data tools and machine learning models. We utilize realtime data streaming platforms like Apache Kafka and Flink, distributed processing frameworks such as Apache Spark, and cloud storage services AWS S3 and RDS. A synthetic dataset representing real-world Anti-Money Laundering (AML) challenges is employed t…