Tootfinder

Impact of the ambipolar diffusion in the structuration of the magnetic Rayleigh Taylor instability with oblique magnetic field
E. Callies, V. Guillet, A. Marcowith, Z. Meliani, P. Lesaffre
https://arxiv.org/abs/2506.19672

Impact of the ambipolar diffusion in the structuration of the magnetic Rayleigh Taylor instability with oblique magnetic field
Aims. We investigate the impact of ambipolar diffusion on the development of the Rayleigh-Taylor instability (RTI) with an oblique magnetic field in the incompressible limit. Methods. We developed a general bi-fluid framework comprising charges and neutrals with the specific feature of differing gravity between charges and neutrals. We derived the perturbed magnetohydrodynamic (MHD) equations and obtained an analytic dispersion relation for an oblique magnetic field. The growth rate was then ev…

Simultaneous Identification of Coefficients and Source in a Subdiffusion Equation from One Passive Measurement
Maolin Deng, Ali Feizmohammadi, Bangti Jin, Yavar Kian
https://arxiv.org/abs/2506.17648

Simultaneous Identification of Coefficients and Source in a Subdiffusion Equation from One Passive Measurement
This article is devoted to the detection of parameters in anomalous diffusion from a single passive measurement. More precisely, we consider the simultaneous identification of coefficients as well as a time-dependent source term appearing in a time-fractional diffusion equation from a single boundary or internal passive measurement. We obtain several uniqueness results in dimension one as well as a multidimensional extension under some symmetry assumptions. Our analysis relies on spectral repre…

Diffusion-based Inverse Observation Model for Artificial Skin
Ante Maric, Julius Jankowski, Giammarco Caroleo, Alessandro Albini, Perla Maiolino, Sylvain Calinon
https://arxiv.org/abs/2506.13986

Diffusion-based Inverse Observation Model for Artificial Skin
Contact-based estimation of object pose is challenging due to discontinuities and ambiguous observations that can correspond to multiple possible system states. This multimodality makes it difficult to efficiently sample valid hypotheses while respecting contact constraints. Diffusion models can learn to generate samples from such multimodal probability distributions through denoising algorithms. We leverage these probabilistic modeling capabilities to learn an inverse observation model conditi…

This https://arxiv.org/abs/2505.16933 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
In this work, we introduce LLaDA-V, a purely diffusion-based Multimodal Large Language Model (MLLM) that integrates visual instruction tuning with masked diffusion models, representing a departure from the autoregressive paradigms dominant in current multimodal approaches. Built upon LLaDA, a representative large language diffusion model, LLaDA-V incorporates a vision encoder and MLP connector that projects visual features into the language embedding space, enabling effective multimodal alignme…

The Trump administration has dealt a sharp blow to work on H.I.V. vaccines, terminating a $258 million program whose work was instrumental to the search for a vaccine.
Officials from the H.I.V. division of the National Institutes of Health delivered the news on Friday to the program’s two leaders, at Duke University and the Scripps Research Institute.
Both teams were collaborating with numerous other research partners.
The work was broadly applicable to a wide range of treatm…

Trump Administration Ends Program Critical to Search for an H.I.V. Vaccine
The termination is the latest in a series of cuts to H.I.V. research and programs to prevent the disease.

Tunable plasmon modes and topological transitions in single- and bilayer semi-Dirac materials
Debasmita Giri, John Schliemann, Rafael Molina, Alexander Lopez
https://arxiv.org/abs/2506.12807

Tunable plasmon modes and topological transitions in single- and bilayer semi-Dirac materials
We investigate the plasmonic response of single- and bilayer semi-Dirac materials under the influence of a tunable parameter $δ$ that governs topological transitions via Dirac cone generation/merging and incorporating band inversion terms. For single-layer systems, we demonstrate that the emergence of Dirac cones leads to an enhanced plasmon frequency range and that the plasmonic spectrum exhibits strong anisotropy, especially for finite $δ$ and vanishing inversion terms. In the bilayer confi…

Who is using AI to code? Global diffusion and impact of generative AI
Simone Daniotti, Johannes Wachs, Xiangnan Feng, Frank Neffke
https://arxiv.org/abs/2506.08945

Who is using AI to code? Global diffusion and impact of generative AI
Generative coding tools promise big productivity gains, but uneven uptake could widen skill and income gaps. We train a neural classifier to spot AI-generated Python functions in 80 million GitHub commits (2018-2024) by 200,000 developers and track how fast--and where--these tools take hold. By December 2024, AI wrote an estimated 30.1% of Python functions from U.S. contributors, versus 24.3% in Germany, 23.2% in France, 21.6% in India, 15.4% in Russia and 11.7% in China. Newer GitHub users use…

Breaking the Barriers of Text-Hungry and Audio-Deficient AI
Hamidou Tembine, Issa Bamia, Massa NDong, Bakary Coulibaly, Oumar Issiaka Traore, Moussa Traore, Moussa Sanogo, Mamadou Eric Sangare, Salif Kante, Daryl Noupa Yongueng, Hafiz Tiomoko Ali, Malik Tiomoko, Frejus Laleye, Boualem Djehiche, Wesmanegda Elisee Dipama, Idris Baba Saje, Hammid Mohammed Ibrahim, Moumini Sanogo, Marie Coursel Nininahazwe, Abdul-Latif Siita, Haine Mhlongo, Teddy Nelvy Dieu Merci Kouka, Mariam Serine Jerid…

Breaking the Barriers of Text-Hungry and Audio-Deficient AI
While global linguistic diversity spans more than 7164 recognized languages, the current dominant architecture of machine intelligence remains fundamentally biased toward written text. This bias excludes over 700 million people particularly in rural and remote regions who are audio-literate. In this work, we introduce a fully textless, audio-to-audio machine intelligence framework designed to serve this underserved population, and all the people who prefer audio-efficiency. Our contributions in…

Exciton Delocalization Suppresses Polariton Scattering
Yongseok Hong, Ding Xu, Milan Delor
https://arxiv.org/abs/2506.08770 https://a…

Exciton Delocalization Suppresses Polariton Scattering
Exciton-polaritons (EPs) are part-light part-matter quasiparticles that combine large exciton-mediated nonlinearities with long-range coherence, ideal for energy harvesting and nonlinear optics. Optimizing EPs for these applications is predicated on a still-elusive understanding of how disorder affects their propagation and dephasing times. Here, using cutting-edge femtosecond spatiotemporal microscopy, we directly image EP propagation at light-like speeds in systems ranging from two-dimensiona…