Tootfinder

Coexistence of Two Types of Liquid Structures at Platinum-Water Interfaces
Yitong Li, Qian Ai, Lalith Krishna Samanth Bonagiri, Yingjie Zhang
https://arxiv.org/abs/2509.06327 ht…

Coexistence of Two Types of Liquid Structures at Platinum-Water Interfaces
Platinum-water interfaces underpin many electrochemical energy conversion processes. However, despite decades of research, the real-space liquid structure of these interfaces remains elusive. Using three-dimensional atomic force microscopy (3D-AFM), we mapped Pt-water interface in real space with angstrom-level resolution. Topographic imaging revealed atomically flat (type I) and stripe-like (type II) surface nanodomains. Force-distance profiles above type I domains exhibited oscillatory decay …

Detection of noise correlations in two qubit systems by Machine Learning
Dario Fasone, Shreyasi Mukherjee, Dario Penna, Fabio Cirinn\`a, Mauro Paternostro, Elisabetta Paladino, Luigi Giannelli, Giuseppe A. Falci
https://arxiv.org/abs/2509.03389

Detection of noise correlations in two qubit systems by Machine Learning
We introduce and validate a machine-learning assisted quantum sensing protocol to classify spatial and temporal correlations of classical noise affecting two ultrastrongly coupled qubits. We consider six distinct classes of Markovian and non-Markovian noise. Leveraging the sensitivity of a coherent population transfer protocol under three distinct driving conditions, the various forms of noise are discriminated by only measuring the final transfer efficiencies. Our approach achieves $\gtrsim 86…

What's Taboo for You? - An Empirical Evaluation of LLMs Behavior Toward Sensitive Content
Alfio Ferrara, Sergio Picascia, Laura Pinnavaia, Vojimir Ranitovic, Elisabetta Rocchetti, Alice Tuveri
https://arxiv.org/abs/2507.23319

What's Taboo for You? - An Empirical Evaluation of LLMs Behavior Toward Sensitive Content
Proprietary Large Language Models (LLMs) have shown tendencies toward politeness, formality, and implicit content moderation. While previous research has primarily focused on explicitly training models to moderate and detoxify sensitive content, there has been limited exploration of whether LLMs implicitly sanitize language without explicit instructions. This study empirically analyzes the implicit moderation behavior of GPT-4o-mini when paraphrasing sensitive content and evaluates the extent o…

Recent Advances in Understanding R-Process Nucleosynthesis in Metal-Poor Stars and Stellar Systems
Avrajit Bandyopadhyay, Timothy C. Beers
https://arxiv.org/abs/2507.08760

Recent Advances in Understanding R-Process Nucleosynthesis in Metal-Poor Stars and Stellar Systems
The rapid neutron-capture process (r-process) is responsible for the creation of roughly half of the elements heavier than iron, including precious metals like silver, gold, and platinum, as well as radioactive elements such as thorium and uranium. Despite its importance, the nature of the astrophysical sites where the r-process occurs, and the detailed mechanisms of its formation, remain elusive. The key to resolving these mysteries lies in the study of chemical signatures preserved in ancient…

Machine Learning-aided Optimal Control of a noisy qubit
Riccardo Cantone, Shreyasi Mukherjee, Luigi Giannelli, Elisabetta Paladino, Giuseppe Falci
https://arxiv.org/abs/2507.14085

Machine Learning-aided Optimal Control of a noisy qubit
We apply a graybox machine-learning framework to model and control a qubit undergoing Markovian and non-Markovian dynamics from environmental noise. The approach combines physics-informed equations with a lightweight transformer neural network based on the self-attention mechanism. The model is trained on simulated data and learns an effective operator that predicts observables accurately, even in the presence of memory effects. We benchmark both non-Gaussian random-telegraph noise and Gaussian…

Selective decoupling in multi-level quantum systems by the SU(2) sign anomaly
Giorgio Anfuso, Giulia Piccitto, Vittorio Romano, Elisabetta Paladino, Giuseppe Falci
https://arxiv.org/abs/2507.12056

Selective decoupling in multi-level quantum systems by the SU(2) sign anomaly
We investigate dynamical decoupling operated by $2π$-pulses in a two-level subspaces of a multilevel system showing that it may leads to selective decoupling. This provides a flexible strategy for decoupling transitions in a quantum network, when control to directly address them is not available which can be use to control internode interaction or actively suppress decoherence