Expertini Research Research

Browse Research Papers

28,154+ open-access research outputs.

โœ• Clear
๐Ÿ” avoidance learning ๐Ÿ“‚ Physics
Showing 28154 results for "avoidance learning" in Physics
Physics Preprint PDF DOI

Berezinskii-Kosterlitz-Thouless phase transitions of the antiferromagnetic Ising model with ferromagnetic next-nearest-neighbor interactions on the kagome lattice

Yutaka Okabe, Hiromi Otsuka ยท 2026

We investigate the six-state clock universality of the Ising model on the kagome lattice, considering antiferromagnetic nearest-neighbor (NN) and ferromagnetic next-nearest-neighbor (NNN) interactionsโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

High-Throughput In-Situ Fabrication of Fibrous Membranes Enables Scalable Passive Radiative Cooling

Hanzhuo Shao, Xiaoli Huang, Xuemei Huang, Jin Zhao, Nailin Xing, Hua Xu, Weijie Song, Yuehui Lu ยท 2026

Deploying fibrous membranes for passive daytime radiative cooling (PDRC) on large and irregular surfaces is highly desirable but remains challenging, owing to the slow deposition rates and the need foโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Graph neural network for multitask prediction of rheological and microstructural behavior in suspensions

Armin Aminimajd, Joao Maia, Abhinendra Singh ยท 2026

Fast prediction of suspension rheology is fundamental for optimizing process efficiency and performance in numerous industrial settings. However, traditional simulations are computationally demanding โ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

The impact of spurious imaginary phonon modes on thermal properties of Metal-organic Frameworks

Prathami Divakar Kamath, Kristin A. Persson ยท 2026

Metal-organic Frameworks (MOFs) have emerged as potential candidates for direct air capture (DAC) of green house gases and water. Thermal properties of MOFs, such as their heat capacity, are used to dโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Towards a Fully Automated Pipeline for Short-Term Forecasting of In Situ Coronal Mass Ejection Magnetic Field Structure

Hannah T. Rudisser, Emma E. Davies, Ute V. Amerstorfer, Christian Mostl, Eva Weiler, Andreas J. Weiss, Justin Le Louedec, Martin A. Reiss, Gautier Nguyen ยท 2026

We present an automated pipeline for operational short-term forecasting of coronal mass ejection (CME) magnetic field structure at L1, coupling arrival time prediction, in situ detection, and iterativโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

MadSpace -- Event Generation for the Era of GPUs and ML

Theo Heimel, Olivier Mattelaer, Ramon Winterhalder ยท 2026

MadSpace is a new modular phase-space and event-generation library written in C++ with native GPU support via CUDA and HIP. It provides a unified compute-graph-based framework for phase-space construcโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

From Symmetry to Stability: Structural and Electronic Transformation in Cs$_2$KInI$_6$

Mohammad Bakhsh, Victor Trinquet, Rogerio Almeida Gouvea, Gian-Marco Rignanese, Samuel Ponce ยท 2026

Cs$_2$KInI$_6$ is a promising lead-free halide double perovskite with a calculated direct band gap of 1.24 eV, ideal for solar cell applications. Our first-principles calculations reveal that its cubiโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Asteroseismic ages for 17,000 stars in Kepler, K2 and TESS

Emma Willett, Andrea Miglio, Saniya Khan, Yvonne Elsworth, Benoit Mosser, Karsten Brogaard, Giada Casali, Cristina Chiappini, Valeria Grisoni, Amalie Stokholm, Diego Bossini, William J. Chaplin ยท 2026

The availability of asteroseismic constraints for tens of thousands of red giant (RG) stars has opened the door to robust age estimates, enabling time-resolved studies of different populations of starโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Consensus Protocols for Entanglement-Aware Scheduling in Distributed Quantum Neural Networks

Kuan-Cheng Chen, Samuel Yen-Chi Chen, Mahdi Chehimi, Felix Burt, Kin K. Leung ยท 2026

The realization of distributed quantum neural networks (DQNNs) over quantum internet infrastructures faces fundamental challenges arising from the fragile nature of entanglement and the demanding syncโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Merger Driven or Internal Evolution? A New Morphological Study of Tidal Disruption Event Host Galaxies

Janet N.Y. Chang, Connor Bottrell, Lixin Dai, Rudrani Kar Chowdhury, Meng Gu, Renbin Yan, Leonardo Ferreira, Sara L. Ellison, Scott Wilkinson, Thomas de Boer ยท 2026

Host galaxies of tidal disruption events (TDEs) show enhanced central stellar concentration and are preferentially found in post-starburst and green valley populations. This connection has led to the โ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Gravastar on the brane with a timelike extra dimension

Shounak Ghosh, Rikpratik Sengupta, Kazuharu Bamba ยท 2026

We construct a gravastar configuration within the Shtanov-Sahni (SS) braneworld scenario, characterized by a timelike extra dimension and negative brane tension. Unlike classical black holes, which inโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Microscopic Origin of the Ultralow Lattice Thermal Conductivity in Vacancy-Ordered Halide Double Perovskites Cs$_2BX_6$ ($B$ = Zr, Pd, Sn, Te, Hf, and Pt; $X$= Cl, Br, and I)

Lingzhi Cao, Yateng Wang, Zhonghao Xia, Jiangang He ยท 2026

Vacancy-ordered halide double perovskites Cs$_2BX_6$ have recently attracted significant attention due to their intrinsically ultralow lattice thermal conductivity ($\kappa_{\mathrm{L}}$), which is hiโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

CoLLM: AI engineering toolbox for end-to-end deep learning in collider analyses

W. Esmail, A. Hammad, M. Nojiri ยท 2026

Recent improvements in large language models have opened new opportunities for accelerating and automating scientific workflows. In parallel, modern collider analyses are becoming increasingly complexโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

A Demonstration of a Neural Network as a Bridge Between Galaxy Simulations and Surveys

E. Elson ยท 2026

This paper demonstrates that the stellar masses of galaxies in the Galaxy and Mass Assembly (GAMA) survey, originally derived via stellar population synthesis modelling, can be accurately predicted usโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

HyQuRP: Hybrid quantum-classical neural network with rotational and permutational equivariance for 3D point clouds

Semin Park, Chae-Yeun Park ยท 2026

We introduce HyQuRP, a hybrid quantum-classical neural network equivariant to rotational and permutational symmetries. While existing equivariant quantum machine learning models often rely on ad hoc cโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Quenching Speculation in Quantum Markets via Entangled Neural Traders

Kieran Hymas, Hiu Ming Lau, Kareem Raslan, Qiang Sun, Azhar Iqbal, Derek Abbott, Andrew D. Greentree, James Q. Quach ยท 2026

Speculative trading can drive pronounced market instabilities, yet existing regulatory and macroprudential tools intervene only after such dynamics emerge. Quantum technologies offer a fundamentally nโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

An Approach to Probing Particles and Quasi-particles in the Condensed Bose-Hubbard Model

Huy Nguyen, Yu-Xin Wang, Jacob M. Taylor ยท 2026

Measurement plays a crucial role in a quantum system beyond just learning about the system state: it changes the post-measurement state and hence influences the subsequent time evolution; further, meaโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Thermal-Drift Sampling: Generating Thermal Ensembles for Learning Many-Body Systems

Jiyu Jiang, Mingrui Jing, Jizhe Lai, Xin Wang, Lei Zhang ยท 2026

Thermal equilibrium states of many-body Hamiltonians are essential for probing quantum chaos, finite-temperature phases of matter, and training quantum machine learning models, yet generating large coโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Predicting galaxy bias using machine learning

Catalina Riveros-Jara, Antonio D. Montero-Dorta, Natalia V. N. Rodrigues, Pia Amigo, Natali S. M. de Santi, Andres Balaguera-Antolinez, Raul Abramo, Neill Guzman, M. Celeste Artale ยท 2026

Understanding how galaxies trace the underlying matter density field is essential for characterizing the influence of the large-scale structure on galaxy formation, being therefore a key ingredient inโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Efficient implementation of arbitrary Hermitian-preserving and trace-preserving maps

Weizhou Cai, Zi-Jie Chen, Xuanqiang Zhao, Xin Wang, Guang-Can Guo, Luyan Sun, Chang-Ling Zou ยท 2026

Quantum control has been a cornerstone of quantum information science, driving major advances in quantum computing, quantum communication, and quantum sensing. Over the years, it has enabled the impleโ€ฆ

Read Paper โ†’
โ† Prev Page 58 of 1408 Next โ†’