Tootfinder

Coherent Control of Quantum-Dot Spins with Cyclic Optical Transitions
Zhe Xian Koong, Urs Haeusler, Jan M. Kaspari, Christian Schimpf, Benyam Dejen, Ahmed M. Hassanen, Daniel Graham, Ailton J. Garcia Jr., Melina Peter, Edmund Clarke, Maxime Hugues, Armando Rastelli, Doris E. Reiter, Mete Atat\"ure, Dorian A. Gangloff
https://arxiv.org…

Coherent Control of Quantum-Dot Spins with Cyclic Optical Transitions
Solid-state spins are promising as interfaces from stationary qubits to single photons for quantum communication technologies. Semiconductor quantum dots have excellent optical coherence, exhibit near unity collection efficiencies when coupled to photonic structures, and possess long-lived spins for quantum memory. However, the incompatibility of performing optical spin control and single-shot readout simultaneously has been a challenge faced by almost all solid-state emitters. To overcome this…

In-situ characterisation and data-driven crystal plasticity analysis of short-to-long crack transition in a ductile aluminium alloy
Abdalrhaman Koko, Bemin Sheen, Caitlin Green, Fionn Dunne
https://arxiv.org/abs/2510.03713

In-situ characterisation and data-driven crystal plasticity analysis of short-to-long crack transition in a ductile aluminium alloy
Crack arrest in ductile alloys plays a critical role in damage-tolerant design for aerospace and structural applications, yet the transition from microstructure-sensitive short cracks to load-controlled long cracks remains poorly understood. Here, we present an in-situ, high-resolution experimental study of crack propagation in cold-worked 5052 aluminium alloy using scanning electron microscopy digital image correlation (SEM-DIC), electron backscatter diffraction (EBSD), and novel data-driven c…

Probing Gender Bias in Multilingual LLMs: A Case Study of Stereotypes in Persian
Ghazal Kalhor, Behnam Bahrak
https://arxiv.org/abs/2509.20168 https://arxi…

Probing Gender Bias in Multilingual LLMs: A Case Study of Stereotypes in Persian
Multilingual Large Language Models (LLMs) are increasingly used worldwide, making it essential to ensure they are free from gender bias to prevent representational harm. While prior studies have examined such biases in high-resource languages, low-resource languages remain understudied. In this paper, we propose a template-based probing methodology, validated against real-world data, to uncover gender stereotypes in LLMs. As part of this framework, we introduce the Domain-Specific Gender Skew I…

From Prompt to Pipeline: Large Language Models for Scientific Workflow Development in Bioinformatics
Khairul Alam, Banani Roy
https://arxiv.org/abs/2507.20122 https://

From Prompt to Pipeline: Large Language Models for Scientific Workflow Development in Bioinformatics
The increasing complexity of bioinformatics data analysis has made Scientific Workflow Systems (SWSs) like Galaxy and Nextflow essential for enabling scalable, reproducible, and automated workflows. However, creating and understanding these workflows remains challenging, particularly for domain experts without programming expertise. This study investigates whether modern Large Language Models (LLMs), GPT-4o, Gemini 2.5 Flash, and DeepSeek-V3, can support the generation of accurate, complete, an…

Non-perturbative determination of meson masses and low-energy constants in large-$N$ QCD
Claudio Bonanno, Margarita Garc\'ia P\'erez, Antonio Gonz\'alez-Arroyo, Ken-Ichi Ishikawa, Masanori Okawa
https://arxiv.org/abs/2508.05446

Non-perturbative determination of meson masses and low-energy constants in large-$N$ QCD
We provide first-principles non-perturbative determinations of the low-lying meson mass spectrum of large-$N$ QCD in the 't Hooft limit $N_{\scriptscriptstyle{\rm f}}/N\to 0$, as well as of three low-energy constants appearing in the QCD chiral expansion: the quark condensate $Σ$, the pion decay constant $F_π$, and the next-to-leading-order coupling $\bar{\ell}_4$. Using the excited state masses in the $π$ and $ρ$ channels, we are able to investigate the behavior of their radial Regge traje…

GPU-Accelerated Monte Carlo Simulation and Experimental Study of Radiative Transfer in Multiple Scattering Media
Binhan Wang, Peng Sun, Gao Wang, Haijian Liang, Jinge Guan, Xiaohang Dong, Xiuhao Du, Ruichen Liu
https://arxiv.org/abs/2507.23189

GPU-Accelerated Monte Carlo Simulation and Experimental Study of Radiative Transfer in Multiple Scattering Media
Addressing the problem of photon multiple scattering interference caused by turbid media in optical measurements, biomedical imaging, environmental monitoring and other fields, existing Monte Carlo light scattering simulations widely adopt the Henyey-Greenstein (H-G) phase function approximation model. However, traditional computational resource limitations and high numerical complexity have constrained the application of precise scattering models. Moreover, the single-parameter anisotropy fact…

Two-Color X-Ray Coherent Diffraction Imaging of Helium Nanodroplets
Linos Hecht, Yevheniy Ovcharenko, Asbj{\o}rn {\O}. L{\ae}gdsmand, Bj\"orn Bastian, Thomas M. Baumann, Alessandro Colombo, Subhendu De, Alberto De Fanis, Simon Dold, Thomas Fennel, Robert Hartmann, Katharina Kolatzki, Sivarama Krishnan, Bj\"orn Kruse, Aaron C. Laforge, Bruno Langbehn, Suddhasattwa Mandal, Tommaso Mazza, Cristian Medina, Christian Peltz, Thomas Pfeifer, Bj\"orn Senfftleben, Keshav Sishodia…

Two-Color X-Ray Coherent Diffraction Imaging of Helium Nanodroplets
Two-color X-ray imaging with Free Electron Laser pulses offers a powerful approach for probing ultrafast structural dynamics in nanoscale systems, combining (near-)atomic spatial resolution with femtosecond temporal precision. The first X-ray pulse captures the object's initial state, while the time-delayed second pulse records its subsequent evolution. A key challenge lies in disentangling the two views simultaneously recorded by the same detector. We demonstrate the realization of this approa…