Tootfinder

Photonic Simulation of Beyond-Quantum Nonlocal Correlations (e.g. Popescu-Rohrlich Box) with Non-Signaling Quantum Resources
Kunal Shukla, Anirudh Verma, Kanad Sengupta, Sanchari Chakraborti, Manik Banik, C. M. Chandrashekar
https://arxiv.org/abs/2509.26271

Photonic Simulation of Beyond-Quantum Nonlocal Correlations (e.g. Popescu-Rohrlich Box) with Non-Signaling Quantum Resources
Bell nonlocality exemplifies the most profound departure of quantum theory from classical realism. Yet, the extent of nonlocality in quantum theory is intrinsically bounded, falling short of the correlations permitted by the relativistic causality (the no-signaling) principle. A paradigmatic example is the Popescu-Rohrlich correlation: two distant parties sharing arbitrary entanglement cannot achieve this correlation, though it can be simulated with classical communication between them. Here we…

The Trump administration is not attacking the "excesses" of "woke" scholarship. They're at war with the very idea of power analysis, with the feeling of deep empathy with the oppressed, with ethical commitment to make a just world.

LHS in LHS: A new expansion strategy for Latin hypercube sampling in simulation design
Matteo Boschini, Davide Gerosa, Alessandro Crespi, Matteo Falcone
https://arxiv.org/abs/2509.00159

LHS in LHS: A new expansion strategy for Latin hypercube sampling in simulation design
Latin Hypercube Sampling (LHS) is a prominent tool in simulation design, with a variety of applications in high-dimensional and computationally expensive problems. LHS allows for various optimization strategies, most notably to ensure space-filling properties. However, LHS is a single-stage algorithm that requires a priori knowledge of the targeted sample size. In this work, we present LHS in LHS, a new expansion algorithm for LHS that enables the addition of new samples to an existing LHS-dist…

The Connection between Dusty Star-Forming Galaxies and the First Massive Quenched Galaxies
Pablo Araya-Araya, Rachel K. Cochrane, Laerte Sodr\'e Jr., Robert M. Yates, Christopher C. Hayward, Marcel P. van Daalen, Marcelo C. Vicentin, Bitten Gullberg, Francesco Valentino
https://arxiv.org/abs/2509.26646

The Connection between Dusty Star-Forming Galaxies and the First Massive Quenched Galaxies
High-redshift (z > 2) massive quiescent (MQ) galaxies provide an opportunity to probe the key physical processes driving the fuelling and quenching of star formation in the early Universe. Observational evidence suggests a possible evolutionary link between MQs and dusty star-forming galaxies (DSFGs; or submillimetre galaxies), another extreme high-redshift population. However, galaxy formation models have historically struggled to reproduce these populations - especially simultaneously - limit…

Nonuniform Water Distribution in Jupiter's Mid Latitudes: Influence of Precipitation and Planetary Rotation
Huazhi Ge, Cheng Li, Xi Zhang, Andrew P. Ingersoll, Sihe Chen
https://arxiv.org/abs/2509.25610

Nonuniform Water Distribution in Jupiter's Mid Latitudes: Influence of Precipitation and Planetary Rotation
Knowing the composition of Jupiter's atmosphere is crucial for constraining Jupiter's bulk metallicity and formation history. Yet, constraining Jupiter's atmospheric water abundance is challenging due to its potential non-uniform distribution. Here, we explicitly resolve the water hydrological cycle in Jupiter's mid-latitudes using high-resolution simulations. Falling precipitation leads to a significant large-scale depletion of water vapor beneath the lifting condensation level. A non-uniform …

Sim2Field: End-to-End Development of AI RANs for 6G
Russell Ford, Hao Chen, Pranav Madadi, Mandar Kulkarni, Xiaochuan Ma, Daoud Burghal, Guanbo Chen, Yeqing Hu, Chance Tarver, Panagiotis Skrimponis, Vitali Loseu, Yu Zhang, Yan Xin, Yang Li, Jianzhong Zhang, Shubham Khunteta, Yeswanth Guddeti Reddy, Ashok Kumar Reddy Chavva, Mahantesh Kothiwale, Davide Villa
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Sim2Field: End-to-End Development of AI RANs for 6G
Following state-of-the-art research results, which showed the potential for significant performance gains by applying AI/ML techniques in the cellular Radio Access Network (RAN), the wireless industry is now broadly pushing for the adoption of AI in 5G and future 6G technology. Despite this enthusiasm, AI-based wireless systems still remain largely untested in the field. Common simulation methods for generating datasets for AI model training suffer from "reality gap" and, as a result, the perfo…

Probing microscopic dynamics in a uni-axially strained polymer network
N. H. P. Orr, G. Prevot, T. Phou, L. Cipelletti
https://arxiv.org/abs/2508.21608 https://

Probing microscopic dynamics in a uni-axially strained polymer network
We present a new apparatus that probes simultaneously the macroscopic mechanical response and the microscopic motion in polymer networks under uni-axial strain. The setup leverages photon correlation imaging, a space- and time-resolved dynamic light scattering method, to measure the dynamics along three orthogonal directions and on two distinct length scales, from tens of nanometers to a couple of microns. We show how to avoid artifacts due to scattering from the surface of the polymer films an…

Strong enhancement of d-wave superconductivity in an extended checkerboard Hubbard ladder
Xichen Huang, Saisai He, Jize Zhao, Zhong-Bing Huang
https://arxiv.org/abs/2509.24415 h…

Strong enhancement of d-wave superconductivity in an extended checkerboard Hubbard ladder
By employing the density-matrix renormalization group method, we study an extended checkerboard Hubbard model on the two-leg ladder, which includes an intraplaquette nearest-neighbour attraction V. The simulated results show that V plays a significant role in enhancing the d-wave superconductivity when the electron density is close to half-filling. In the homogeneous case t'=t (t and t' are the intraplaquette and interplaquette hopping integrals), large critical |Vc| is required to in…

Confinement Reveals Hidden Splay-Bend Order in Twist-Bend Nematics
Szymon Drzazga, Piotr Kubala, Lech Longa
https://arxiv.org/abs/2508.21655 https://arxiv.…

Confinement Reveals Hidden Splay-Bend Order in Twist-Bend Nematics
Using extensive Monte Carlo (MC) and molecular dynamics (MD) simulations, we investigate how spatial confinement affects molecular organization within thin films of the nematic twist-bend ($\mathrm{N_{TB}}$) phase. Our simulations show that confinement markedly amplifies the otherwise elusive splay-bend order, primarily by suppressing the intrinsic three-dimensional heliconical structure characteristic of bulk $\mathrm{N_{TB}}$. Remarkably, when the $\mathrm{N_{TB}}$ phase is confined between…