Tootfinder

Krylov complexity and Wightman power spectrum with positive chemical potentials in Schr\"odinger field theory
Peng-Zhang He, Lei-Hua Liu, Hai-Qing Zhang, Qing-Quan Jiang
https://arxiv.org/abs/2509.14742

Krylov complexity and Wightman power spectrum with positive chemical potentials in Schrödinger field theory
We systematically investigate the Krylov complexity of fermionic fields in Schrödinger field theory as the chemical potential is positive, validated by the engineered Wightman power spectra. For non-positive chemical potentials, the Lanczos coefficients exhibit linear behaviors with respect to $n$. However, as the chemical potential becomes positive, a dynamical transition occurs -- Lanczos coefficient $b_{n}$ develops a two-stage linear growth profile, transitioning from an initial slope of $…

QCell: Comprehensive Quantum-Mechanical Dataset Spanning Diverse Biomolecular Fragments
Adil Kabylda, Sergio Su\'arez-Dou, Nils Davoine, Florian N. Br\"unig, Alexandre Tkatchenko
https://arxiv.org/abs/2510.09939

QCell: Comprehensive Quantum-Mechanical Dataset Spanning Diverse Biomolecular Fragments
Recent advances in machine learning force fields (MLFFs) are revolutionizing molecular simulations by bridging the gap between quantum-mechanical (QM) accuracy and the computational efficiency of mechanistic potentials. However, the development of reliable MLFFs for biomolecular systems remains constrained by the scarcity of high-quality, chemically diverse QM datasets that span all of the major classes of biomolecules expressed in living cells. Crucially, such a comprehensive dataset must be c…

In-plane polar domains enhanced energy storage
Yu Lei, Xiaoming Shi, Sihan Yan, Qinghua Zhang, Jiecheng Liu, Sixu Wang, Yu Chen, Jiaou Wang, He Qi, Qian Li, Ting Lin, Jingfen Li, Qing Zhu, Haoyu Wang, Jing Chen, Lincong Shu, Linkun Wang, Han Wu, Xianran Xing
https://arxiv.org/abs/2510.11126

In-plane polar domains enhanced energy storage
Relaxor ferroelectric thin films are recognized for their ultrahigh power density, rendering them highly promising for energy storage applications in electrical and electronic systems. However, achieving high energy storage performance with chemically homogeneous, environmentally friendly and compositionally stable materials remains challenging. In this work, we present a design of dielectrics with high energy storage performance via an in-plane polar domains incorporating polar nanoregions mec…

Standardized Machine-Readable Point-Data Format for Consolidating Wireless Propagation Across Environments, Frequencies, and Institutions
Dipankar Shakya, Naveed A. Abbasi, Mingjun Ying, Isha Jariwala, Jason J. Qin, Ishaan S. Gupte, Bridget Meier, Guanyue Qian, Daniel Abraham, Theodore S. Rappaport, Andreas F. Molisch
https://arxiv.org/abs…

Standardized Machine-Readable Point-Data Format for Consolidating Wireless Propagation Across Environments, Frequencies, and Institutions
The necessity of new spectrum for 6G has intensified global interest in radio propagation measurements across emerging frequency bands, use cases, and antenna types. These measurements are vital for understanding radio channel properties in diverse environments, and involve time-consuming and expensive campaigns. A major challenge for the effective utilization of propagation measurement data has been the lack of a standardized format for reporting and archiving results. Although organizations s…

Fast and Robust Non-Adiabatic Holonomic Gates for Qutrit Systems
Jie Lu, Jie-Dong Huang, Yang Qian, Ying Yan
https://arxiv.org/abs/2510.05905 https://arxiv…

Fast and Robust Non-Adiabatic Holonomic Gates for Qutrit Systems
Motivated by shortcuts to adiabaticity, we develop a framework that combines inverse engineering with time-dependent perturbation theory to implement non-adiabatic holonomic quantum computing (NHQC) in qutrit systems under realistic error sources. We derive analytical conditions that suppress second-order Rabi errors through tailored pulse parameters and eliminate detuning errors via a compensation pulse. Our analysis reveals the cancellation from the compensation pulse, which ensures robust ga…

NOOOOOOOOOOOOOOO 🥹💔
Se cancela el concierto de Glenn Hughes en Chile. ¡Qué desilusión! 😭
#GlennHughes #ConciertosEnChile

A questão pedia para esboçar o gršfico de uma certa função. O sujeito faz o estudo dos sinais da primeira e segunda derivada, conclui corretamente aonde a função é crescente/decrescente e convexa/côncava. Acha todas as assíntotas e pontos de mšximos e mínimos, tudo certinho. Eu só esperando chegar no gršfico, ansioso para talvez dar a pontuação mšxima na questão. Mas a questão acaba aí. Quem disse que o aluno fez o gršfico?! 😬
Gente, por que é que alunos são assim?!!! rs

QCD phase diagram and thermodynamic properties of the non-extensive NJL model with chiral chemical potential
Xiang-Qiong Liu, Sheng-Qin Feng
https://arxiv.org/abs/2509.24611 htt…

QCD phase diagram and thermodynamic properties of the non-extensive NJL model with chiral chemical potential
Based on the two-flavor NJL model with Tsallis non-extensive statistics, this work explores the QCD phase structure and thermodynamic properties under strong magnetic fields and chiral imbalance. The Tsallis parameter \( q \) captures non-equilibrium effects relevant to heavy-ion collisions. Key findings reveal that the pseudocritical temperature \(T_{\textrm{pc}} \) decreases with increasing \( q \), indicating that non-equilibrium conditions promote chiral symmetry restoration at lower temper…

Neural Network Based Framework for Passive Intermodulation Cancellation in MIMO Systems
Xiaolong Li, Zhi-qin John Xu, Peiting You, Yifei Zhu
https://arxiv.org/abs/2509.19382 htt…

Neural Network Based Framework for Passive Intermodulation Cancellation in MIMO Systems
Passive intermodulation (PIM) has emerged as a critical source of self-interference in modern MIMO-OFDM systems, especially under the stringent requirements of 5G and beyond. Conventional cancellation methods often rely on complex nonlinear models with limited scalability and high computational cost. In this work, we propose a lightweight deep learning framework for PIM cancellation that leverages depthwise separable convolutions and dilated convolutions to efficiently capture nonlinear depende…

MesoNet: A Fundamental Principle for Multi-Representation Learning in Complex Chemical Systems
Jinming Fan, Chao Qian, Shaodong Zhou
https://arxiv.org/abs/2509.17810 https://

MesoNet: A Fundamental Principle for Multi-Representation Learning in Complex Chemical Systems
Accurate prediction of molecular properties in complex chemical systems is crucial for accelerating material discovery and chemical innovation.However,current computational methods often struggle to capture the intricate compositional interplay across complex chemical systems,from intramolecular bonds to intermolecular forces.In this work,we introduce MesoNet,a novel framework founded on the principle of multi-representation learning and specifically designed for multi-molecule modeling.The cor…