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

Overlap Zoo Beta: A Catalogue of ~800 Occulting Pairs in the DESI Legacy Survey using Citizen Science

T. Butrum, B. Holwerda, W. C. Keel, C. Robertson, I. Castellano, S. Pandey, S. M. R. Adnan, L. C. Bills, D. Patel, K. Cook, T. Hardin, A. Palao, B. Connelly, M. Morton ยท 2026

Overlapping galaxies, in which a foreground galaxy partially overlaps a background galaxy, offer a unique opportunity to measure dust attenuation, a key nuisance parameter in galaxy studies, empiricalโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Learning Quantum Data Distribution via Chaotic Quantum Diffusion Model

Quoc Hoan Tran, Koki Chinzei, Yasuhiro Endo, Hirotaka Oshima ยท 2026

Generative models for quantum data pose significant challenges but hold immense potential in fields such as chemoinformatics and quantum physics. Quantum denoising diffusion probabilistic models (QuDDโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Deep Learning-Enabled Invisible Electromagnetic Scattering Amplifier

Qike Xie, Qin Liao, Xiaofan Ji, Yichao Liu, Fei Sun ยท 2026

With the rapid development of micro-electro-mechanical systems, electrically small micro-targets, such as subwavelength micro unmanned aerial vehicles and bionic mosquito robots, exhibit ultra-low scaโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

ML-guided screening of chalcogenide perovskites as solar energy materials

Diego A. Garzon, Lauri Himanen, Luisa Andrade, Sascha Sadewasser, Jose A. Marquez ยท 2026

Chalcogenide perovskites have emerged as promising absorber materials for next-generation photovoltaic devices, yet their experimental realization remains limited by competing phases, structural polymโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

CALIMA: On-the-fly dust and PAH evolution for radiation-hydrodynamics galaxy formation simulations

Francisco Rodriguez Montero, Yohan Dubois, Harley Katz, Adrianne Slyz, Julien Devriendt ยท 2026

Dust grains and polycyclic aromatic hydrocarbons (PAHs) actively contribute to the thermodynamics, chemistry, and radiative state of the interstellar medium (ISM), yet most ISM models and galaxy simulโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

The Predictive Power of Chemical Bonding Analysis in Materials: a Perspective on Optoelectronic Properties

Gabriele Saleh, Liberato Manna ยท 2026

Chemical bonding governs how atoms interact to form compounds, thereby determining their physicochemical properties. Despite being an elusive concept, chemical bonding has led to the development of moโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Self-avoiding tethered surfaces are always flat

A. D. Chen, M. C. Gandikota, M. J. Kim, A. Cacciuto ยท 2026

The scaling behavior of fully flexible elastic tethered surfaces has been debated for decades. Some theories predict that self-avoiding surfaces would crumple in the absence of bending rigidity, whileโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Machine Learning-Based Estimation of Cumulants of Chiral Condensate via Multi-Ensemble Reweighting with Deborah.jl

Benjamin J. Choi, Hiroshi Ohno, Akio Tomiya ยท 2026

We investigate a bias-corrected machine learning (ML) strategy for estimating traces of the inverse Dirac operator, $\text{Tr}\, M^{-n}$ ($n=1,2,3,4$), motivated by the need for higher-order cumulantsโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Efficient time-series prediction on NISQ devices via time-delayed quantum extreme learning machine

Mio Kawanabe, Saud Cindrak, Kathy Luedge, Jun-ichi Shirakashi, Tetsuo Shibuya, Hiroshi Imai ยท 2026

We proposed a time-delayed quantum extreme learning machine (TD-QELM) for efficient time-series prediction on noisy intermediate-scale quantum (NISQ) devices. By encoding multiple past inputs simultanโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Reasoning-Driven Design of Single Atom Catalysts via a Multi-Agent Large Language Model Framework

Dong Hyeon Mok, Seoin Back, Victor Fung, Guoxiang Hu ยท 2026

Large language models (LLMs) are becoming increasingly applied beyond natural language processing, demonstrating strong capabilities in complex scientific tasks that traditionally require human expertโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Universal Sample Complexity Bounds in Quantum Learning Theory via Fisher Information Matrix

Hyukgun Kwon, Seok Hyung Lie, Liang Jiang ยท 2026

In this work, we show that the sample complexity required in quantum learning theory within a general parametric framework, is fundamentally governed by the inverse Fisher information matrix. More speโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Conditional Image Diffusion with Interferometric Closure Invariants: Independent EHT Imaging of Centaurus~A and 3C~279

Samuel Lai, Nithyanandan Thyagarajan, O. Ivy Wong, Foivos Diakogiannis ยท 2026

We present independent imaging analyses of Event Horizon Telescope (EHT) observations of the active galactic nuclei in radio galaxy Centaurus~A and quasar 3C~279 using Generative Deep learning Image Rโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Unsupervised Discovery of Intermediate Phase Order in the Frustrated $J_1$-$J_2$ Heisenberg Model via Prometheus Framework

Brandon Yee, Wilson Collins, Maximilian Rutkowski ยท 2026

The spin-$1/2$ $J_1$-$J_2$ Heisenberg model on the square lattice exhibits a debated intermediate phase between N\'eel antiferromagnetic and stripe ordered regimes, with competing theories proposing pโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

The Inverse Born Rule Fallacy: On the Informational Limits of Phase-Locked Amplitude Encoding

Sebastian Zajac, Jacob L. Cybulski, Bartosz Dziewit, Tomasz Kulpa ยท 2026

In Quantum Machine Learning (QML) and Quantum Finance, amplitude encoding is often motivated by its logarithmic storage capacity arXiv:1307.0411. This paradigm typically relies on the mapping $\psi = โ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Lepton asymmetry leading to baryogenesis by primordial black holes

Mriganka Dutta (IISc), Banibrata Mukhopadhyay (IISc), Abhishek Kumar Jha (IISc), Mayank Pathak (IISc), Siba Prasad Das (Shivaji University) ยท 2026

Baryogenesis remains an unresolved problem in cosmology, with existing mechanisms facing significant caveats. We show that the effects of primordial black holes (PBHs) on neutrinos produce the lepton โ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics (ML-HEQUPP)

Julia Gonski, Jenni Ott, Shiva Abbaszadeh, Sagar Addepalli, Matteo Cremonesi, Jennet Dickinson, Giuseppe Di Guglielmo, Erdem Yigit Ertorer, Lindsey Gray, Ryan Herbst, Christian Herwig, Tae Min Hong, Benedikt Maier, Maryam Bayat Makou, David Miller, Mark S. Neubauer, Cristian Pena, Dylan Rankin, Seon-Hee (Sunny) Seo, Giordon Stark, Alexander Tapper, Audrey Corbeil Therrien, Ioannis Xiotidis, Keisuke Yoshihara, G Abarajithan, Sagar Addepalli, Nural Akchurin, Carlos Arguelles, Saptaparna Bhattacharya, Lorenzo Borella, Christian Boutan, Tom Braine, James Brau, Martin Breidenbach, Antonio Chahine, Talal Ahmed Chowdhury, Yuan-Tang Chou, Seokju Chung, Alberto Coppi, Mariarosaria D'Alfonso, Abhilasha Dave, Chance Desmet, Angela Di Fulvio, Karri DiPetrillo, Javier Duarte, Auralee Edelen, Jan Eysermans, Yongbin Feng, Emmett Forrestel, Dolores Garcia, Loredana Gastaldo, Julian Garcia Pardinas, Lino Gerlach, Loukas Gouskos, Katya Govorkova, Carl Grace, Christopher Grant, Philip Harris, Ciaran Hasnip, Timon Heim, Abraham Holtermann, Tae Min Hong, Gian Michele Innocenti, Koji Ishidoshiro, Miaochen Jin, Jyothisraj Johnson, Stephen Jones, Andreas Jung, Georgia Karagiorgi, Ryan Kastner, Nicholas Kamp, Doojin Kim, Kyoungchul Kong, Katie Kudela, Jelena Lalic, Bo-Cheng Lai, Yun-Tsung Lai, Tommy Lam, Jeffrey Lazar, Aobo Li, Zepeng Li, Haoyun Liu, Vladimir Loncar, Luca Macchiarulo, Christopher Madrid, Benedikt Maier, Zhenghua Ma, Prashansa Mukim, Mark S. Neubauer, Victoria Nguyen, Sungbin Oh, Isobel Ojalvo, Hideyoshi Ozaki, Simone Pagan Griso, Myeonghun Park, Christoph Paus, Santosh Parajuli, Benjamin Parpillon, Sara Pozzi, Ema Puljak, Benjamin Ramhorst, Amy Roberts, Larry Ruckman, Kate Scholberg, Sebastian Schmitt, Noah Singer, Eluned Anne Smith, Alexandre Sousa, Michael Spannowsky, Sioni Summers, Yanwen Sun, Daniel Tapia Takaki, Antonino Tumeo, Caterina Vernieri, Belina von Krosigk, Yash Vora, Linyan Wan, Michael H.L. S. Wang, Amanda Weinstein, Andy White, Simon Williams, Felix Yu ยท 2026

The next generation of particle physics experiments will face a new era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environments and operational cโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Determining Atomic Structure from Spectroscopy via an Active Learning Framework

Ian Slagle, Faisal Alamgir, Victor Fung ยท 2026

Determining atomic structure from spectroscopic data is central to materials science but remains restricted to a limited set of techniques and material classes, largely due to the computational cost aโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Novel High-Scalability Architecture for Photonic Deep Learning

Yuxin Sun, Chun Gao, Jin Xie, Pan Wang, Zejie Yu, Yiwei Xie, Huan Li, Daoxin Dai ยท 2026

Photonic computing promises ultrafast and energy-efficient artificial intelligence. However, existing photonic neural networks (PNNs) remain functionally shallow and difficult to scale. Here we establโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Machine Learning Modeling of Temperature-Dependent Optoelectronic Properties of Anharmonic Solid Solutions

Pol Benitez, Cibran Lopez, Edgardo Saucedo, Claudio Cazorla ยท 2026

Leveraging strong optoelectronic responses to external stimuli, such as temperature and electric fields, is central to the development of advanced photonic technologies, including adaptive photodetectโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Enabling FR2-5G Communication with Dielectric OAM Transmitarrays

Miguel A. Balmaseda-Marquez, Juan E. Galeote-Cazorla, Alvaro Liebana-Bolivar, Alejandro Ramirez-Arroyo, Carlos Molero Jimenez, J.F. Valenzuela-Valdes ยท 2026

This paper investigates the potential of near-field (NF) indoor communications in the FR2 frequency bands using fully dielectric structures to generate orbital angular momentum (OAM) waves. All-dielecโ€ฆ

Read Paper โ†’
โ† Prev Page 47 of 1408 Next โ†’