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Showing 28154 results for "avoidance learning" in Physics
Physics Preprint PDF DOI

NOMAI : A real-time photometric classifier for superluminous supernovae identification. A science module for the Fink broker

E. Russeil, R. Lunnan, J. Peloton, S. Schulze, P. J. Pessi, D. Perley, J. Sollerman, A. Gkini, Y. Hu, T.-W. Chen, E. C. Bellm, T. X. Chen, B. Rusholme ยท 2026

Superluminous supernovae (SLSNe) are one of the most luminous stellar explosions known, yet they remain poorly understood. Because they are intrinsically rare, efficiently identifying them in the largโ€ฆ

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Physics Preprint PDF DOI

Correlation invariance unlocks robust calibration-free orbital-angular-momentum multiplexing transmission under dynamic scattering scenarios

Haoran Li, Zhiyuan Wang, Zhipeng Yu, Xingpeng Du, Tianting Zhong, Jixiong Pu, Ziyang Chen, Vinu R V, Xiangping Li, Puxiang Lai ยท 2026

Orbital angular momentum (OAM) multiplexing offers a promising approach to high-capacity optical communication by harnessing the orthogonality of vortex beams. However, its practical deployment is sevโ€ฆ

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Physics Preprint PDF DOI

Field Inversion Symbolic Regression with Embedded Equation Learner for Interpretable Turbulence Model Correction

Li Jiazhe, Wu Chenyu, He Zizhou, Zhang Yufei ยท 2026

An interpretable, physics-consistent turbulence model correction framework, termed FISR-Equation Learner (EQL), is proposed by embedding equation learning directly into a Partial Differential Equationโ€ฆ

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Physics Preprint PDF DOI

Learning to traverse convective flows at moderate to high Rayleigh numbers

Ao Xu, Hua-Lin Wu, Ben-Rui Xu, Heng-Dong Xi ยท 2026

We study the navigation of a self-propelled inertial particle in two-dimensional Rayleigh--B\'enard convection at Prandtl number $Pr = 0.71$ and cell aspect ratio $\Gamma = 4$ for Rayleigh numbers $Raโ€ฆ

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Physics Preprint PDF DOI

Classical and Quantum Machine Learning for Population-Level Prediction of Heat-Related Physiological Events

Saul Gonzalez-Bermejo, Tommaso Albrigi, Borja Vazquez-Morado, Urko Regueiro-Ramos, Daniel Casado-Faul{i}, Sergi Consul-Pacareu, Parfait Atchade-Adelomou ยท 2026

Predicting heat-related physiological events at the population level is challenging due to the complex interactions among climatic, demographic, and socioeconomic factors, as well as the strong sparsiโ€ฆ

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Physics Preprint PDF DOI

Hydration Monitoring Using Urinary Biomarkers: A Hybrid Classical Quantum Predictive Modeling Framework

Saul Gonzalez-Bermejo, Tommaso Albrigi, Borja Vazquez-Morado, Urko Regueiro-Ramos, Daniel Casado-Fauli, Sergi Consul-Pacareu, Laia Alentorn, Jordi Ferre, Valentino Asole, Parfait Atchade-Adelomou ยท 2026

Hydration status is a key physiological indicator associated with cellular homeostasis, renal function, and overall health. Recent advances in smart sensing environments enable passive monitoring of uโ€ฆ

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Physics Preprint PDF DOI

An Investigation in the Kinetic Persistence of TiO$_2$ Polymorphs using Machine Learning Driven Pathfinding in Crystal Configuration Space

Max C. Gallant, David Mrdjenovich, Kristin A. Persson ยท 2026

As the number of theoretically predicted materials continues to grow, it becomes increasingly important to assess not only their thermodynamic stability but also their kinetic viability under realistiโ€ฆ

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Physics Preprint PDF DOI

FAIR Universe Weak Lensing ML Uncertainty Challenge: Handling Uncertainties and Distribution Shifts for Precision Cosmology

Biwei Dai, Po-Wen Chang, Wahid Bhimji, Paolo Calafiura, Ragansu Chakkappai, Yuan-Tang Chou, Sascha Diefenbacher, Jordan Dudley, Ibrahim Elsharkawy, Steven Farrell, Isabelle Guyon, Chris Harris, Elham E Khoda, Benjamin Nachman, David Rousseau, Uros Seljak, Ihsan Ullah, Yulei Zhang ยท 2026

Weak gravitational lensing, the correlated distortion of background galaxy shapes by foreground structures, is a powerful probe of the matter distribution in our universe and allows accurate constrainโ€ฆ

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Physics Preprint PDF DOI

A Wide-Regulation-Range Hybrid Switched-Capacitor Converter for 48V Automotive Power Systems

Georgios Spanodimos, Guanyu Qian, Xiaodan Cui ยท 2026

This paper presents a hybrid switched-capacitor converter (HSCC) with a novel multi-mode modulation (3M) scheme for wide-range voltage regulation in 48-V automotive power systems. By introducing a thrโ€ฆ

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Physics Preprint PDF DOI

Distributed Learning of Quantum State Tomography Robust to Readout Errors

Amirhossein Taherpour, Alireza Sadeghi, Georgios B. Giannakis ยท 2026

Scalable estimation of quantum states with readout errors is a central challenge in large multiqubit systems. Existing overlapping-tomography methods improve scalability by working with local subsysteโ€ฆ

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Timescale Separation Enables Deep Reinforcement Learning Control of Rotating Detonation Engine Mode Transitions

Kristian Holme, Jean Rabault, Ricardo Vinuesa, Mikael Mortensen ยท 2026

Rotating detonation engines (RDEs) are a promising propulsion concept that may offer higher thermodynamic efficiency and specific impulse than conventional systems, but nonlinear phenomena, including โ€ฆ

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Learning Cut Distributions with Quantum Optimization

Bao Bach, Cameron Ibrahim, Reuben Tate, Jad Salem, Stephan Eidenbenz, Ilya Safro ยท 2026

Many combinatorial optimization problems admit a maximin fairness variant, where the aim is to find a distribution over possible solutions which maximizes an expected worst-case outcome. However, the โ€ฆ

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Physics Preprint PDF DOI

Precision Limits of Multiparameter Markovian-Noise Metrology

Anthony J. Brady, Yu-Xin Wang, Luis Pedro Garcia-Pintos, Alexey V. Gorshkov ยท 2026

Measuring stochastic signals ("noise metrology") constitutes a central task in quantum sensing and the characterization of open quantum systems. Here we establish ultimate precision bounds for multipaโ€ฆ

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Physics Preprint PDF DOI

Fast neural network surrogate for multimodal effective-one-body gravitational waveforms from generically precessing compact binaries

Christopher Whittall, Geraint Pratten ยท 2026

Gravitational waveform templates are a key ingredient for the detection and characterization of gravitational waves emitted by compact binary mergers in the universe. These templates must be physicallโ€ฆ

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Physics Preprint PDF DOI

AI-assisted modeling and Bayesian inference of unpolarized quark transverse momentum distributions from Drell-Yan data

Zhong-Bo Kang, Luke Sellers, Congyue Zhang, Curtis Zhou ยท 2026

We present an extraction of unpolarized quark transverse-momentum-dependent parton distribution functions (TMD PDFs) from Drell-Yan data within a Bayesian inference framework, incorporating artificialโ€ฆ

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Physics Preprint PDF DOI

Distributional Inverse Homogenization

Arnaud Vadeboncoeur, Mark Girolami, Kaushik Bhattacharya, Andrew M. Stuart ยท 2026

For many materials, macroscopic mechanical behavior is determined by an intricate microstructure. Understanding the relation between these two scales helps scientists and engineers design better materโ€ฆ

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Physics Preprint PDF DOI

Generative design of inorganic materials

Jose Recatala-Gomez, Haiwen Dai, Zhu Ruiming, Nikita Kazeev, Nong Wei, Gang Wu, Maciej Koperski, Tan Teck Leong, Andrey Ustyuzhanin, Gerbrand Ceder, Kostya Novoselov, Kedar Hippalgaonkar ยท 2026

Materials discovery is fundamental to advance next-generation technologies as well as for sustainable and circular economy. Beyond computational screening, generative models are efficient at finding mโ€ฆ

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Physics Preprint PDF DOI

Natural Language Embeddings of Synthesis and Testing conditions Enhance Glass Dissolution Prediction

Sajid Mannan, K. Sidharth Nambudiripad, Indrajeet Mandal, Nitya Nand Gosvami, N. M. Anoop Krishnan ยท 2026

Long-term chemical durability of glass, crucial for immobilizing nuclear waste, is governed by glass properties such as composition, surface geometry, as well as external factors like thermodynamic coโ€ฆ

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Physics Preprint PDF DOI

A Modular and T-Gate Efficient Architecture for Quantum Leading-Zero/One Counter

Lei-Han Yao, Shang-Wei Lin, Yu-Chung Chen, Yean-Ru Chen ยท 2026

The Quantum Leading-Zero/One Counter (QLZOC) is a fundamental component in quantum arithmetic, playing a critical role in normalization, floating-point units, dynamic range scaling, and logarithmic apโ€ฆ

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Physics Preprint PDF DOI

Nested Fourier-enhanced neural operator for efficient modeling of radiation transfer in fires

Anran Jiao, Wengyao Jiang, Xiaoyi Lu, Yi Wang, Lu Lu ยท 2026

Computational fluid dynamics (CFD) has become an essential tool for predicting fire behavior, yet maintaining both efficiency and accuracy remains challenging. A major source of computational cost in โ€ฆ

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