Tootfinder

Computational access to lattice and long-wavelength physics in quantum mutual information
Patrick M. Lenggenhager, M. Michael Denner, Doruk Efe G\"okmen, Maciej Koch-Janusz, Titus Neupert, Mark H. Fischer
https://arxiv.org/abs/2510.02466

Computational access to lattice and long-wavelength physics in quantum mutual information
Quantum mutual information is an important tool for characterizing correlations in quantum many-body systems, but its numerical evaluation is often prohibitively expensive. While some variants of Rényi Mutual Information (RMI) are computationally more tractable, it is not clear whether they correctly capture the long-wavelength physics or are dominated by UV effects, which is of key importance in lattice simulations. We analyze the relevance of lattice effects on the family of $α$-$z$ Rényi …

Agri-Query: A Case Study on RAG vs. Long-Context LLMs for Cross-Lingual Technical Question Answering
Julius Gun, Timo Oksanen
https://arxiv.org/abs/2508.18093 https://

Agri-Query: A Case Study on RAG vs. Long-Context LLMs for Cross-Lingual Technical Question Answering
We present a case study evaluating large language models (LLMs) with 128K-token context windows on a technical question answering (QA) task. Our benchmark is built on a user manual for an agricultural machine, available in English, French, and German. It simulates a cross-lingual information retrieval scenario where questions are posed in English against all three language versions of the manual. The evaluation focuses on realistic "needle-in-a-haystack" challenges and includes unanswerable que…

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons
Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al-Fahdi, Lingyu Kong, Victor Fung, Ming Hu
https://arxiv.org/abs/2509.03401

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons
The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces. While their capability for modeling phonon properties is emerging, systematic benchmarking across chemically diverse systems remains limited. We evaluate six recent uMLPs (EquiformerV2, MatterSim, MACE, and CHGNet) on 2,429 crystalline materials from the Open Quantum Materials Database. Models were used to compute atomic …

Schemora: schema matching via multi-stage recommendation and metadata enrichment using off-the-shelf llms
Osman Erman Gungor, Derak Paulsen, William Kang
https://arxiv.org/abs/2507.14376

Schemora: schema matching via multi-stage recommendation and metadata enrichment using off-the-shelf llms
Schema matching is essential for integrating heterogeneous data sources and enhancing dataset discovery, yet it remains a complex and resource-intensive problem. We introduce SCHEMORA, a schema matching framework that combines large language models with hybrid retrieval techniques in a prompt-based approach, enabling efficient identification of candidate matches without relying on labeled training data or exhaustive pairwise comparisons. By enriching schema metadata and leveraging both vector-b…

Hybrid Integration of Quantum Cascade Lasers with Germanium-on-Silicon waveguides for Mid-Infrared Sensing Applications
Colin J. Mitchell, Longqi Zhou, Ke Li, Daniel Adeyemi, Ahmed Osman, Milos Nedeljkovic, Glenn Churchill, James C. Gates, Graham T. Reed, Kristian M. Groom, Jon Heffernan, Goran Mashanovich
https://arxiv.org/abs/…

Hybrid Integration of Quantum Cascade Lasers with Germanium-on-Silicon waveguides for Mid-Infrared Sensing Applications
We present a novel scheme for hybrid integration of quantum cascade laser bars with germanium-on-silicon waveguides operating in the mid-infrared. The laser bars are flip-chip bonded onto a germanium-on-silicon target chip without active alignment, acheiving end-fire coupling efficiency of up to 45% (3.5 dB loss) in pulsed operation. Optical power estimates indicate 20-30 mW coupled into the waveguides. The passive alignment approach, combined with a CMOS-compatible photonic integrated circuit …