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๐Ÿ” adaptation ๐Ÿ“‚ Physics
Showing 1517 results for "adaptation" in Physics
Physics Preprint PDF DOI

Universal transport of active colloids with sensory delay in motility landscapes

Adria Garces, Ueli Topfer, Lucio Isa, Demian Levis, Ignacio Pagonabarraga ยท 2026

We experimentally, numerically and analytically explore the diffusive transport of active colloidal particles with sensory delay, navigating motility landscapes in which the self-propulsion speed depeโ€ฆ

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Data-Driven Hamiltonian Reduction for Superconducting Qubits via Meta-Learning

Arielle Sanford, Andrew T. Kamen, Frederic T. Chong, Andy J. Goldschmidt ยท 2026

We introduce HAML (Hamiltonian Adaptation via Meta-Learning), a framework for fast online adaptation of effective Hamiltonian models of superconducting quantum processors. HAML proceeds in two phases.โ€ฆ

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Upgrading Extremal Flows in the Space of Derivatives

Rajeev S. Erramilli ยท 2026

The method of extremal flows has presented an alluring alternative approach to numerically solving bootstrap constraints. Here I present the development and adaptation of that approach to a more generโ€ฆ

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AutoQResearch: LLM-Guided Closed-Loop Policy Search for Adaptive Variational Quantum Optimization

Monit Sharma, Hoong Chuin Lau ยท 2026

Configuring variational quantum algorithms for combinatorial optimization remains a difficult, expert-driven process requiring coordinated choices over solver family, ansatz, objective, and optimizer.โ€ฆ

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Physics Preprint PDF DOI

Qubit-Scalable CVRP via Lagrangian Knapsack Decomposition and Noise-Aware Quantum Execution

Monit Sharma, Hoong Chuin Lau ยท 2026

Hybrid quantum optimization for vehicle routing faces a practical bottleneck: direct QUBO encodings of CVRP quickly exceed near-term qubit and gate budgets, while quantum evaluations are expensive, noโ€ฆ

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Application of Metric-Based Mesh Adaptation to Hypersonic Aerothermal Simulations Using US3D

Dirk Ekelschot ยท 2026

The main goal of this paper is to demonstrate the application of metric-based mesh adaptation to real gas problems and highlight the benefits particularly when complex geometries are considered. We usโ€ฆ

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A new thermodynamic language for colloid systems

Junfeng Zhou, Geliang Zhu, Lei Xu ยท 2026

A simple framework is presented for unified applications in various fields of colloidal research, with minimal additional concepts & definitions. Several case studies concerning glass transition & cryโ€ฆ

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AstroSURE: Learning to Remove Noise from Astronomical Images Without Ground Truth Data

Omid Vaheb, Sebastien Fabbro, Stark Draper ยท 2026

In astronomical imaging, the low photon count of exposures necessitates extensive post-processing steps, including contamination removal and denoising. This paper evaluates deep-learning denoising metโ€ฆ

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Learning to Concatenate Quantum Codes

Nico Meyer, Christopher Mutschler, Dominik Seu{ss}, Andreas Maier, Daniel D. Scherer ยท 2026

Concatenating quantum error correction codes scales error correction capability by driving logical error rates down double-exponentially across levels. However, the noise structure shifts under concatโ€ฆ

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SPARSE -- Efficient High-Resolution SEM Imaging of Rare Microstructural Features Across Large Areas by Selective Rescanning

Tom Reclik, Jan Gerlach, Maximilian A. Wollenweber, Yannis P. Korkolis, Sandra Korte-Kerzel, Ulrich Kerzel ยท 2026

Characterisation of rare microstructural features in scanning electron microscopy (SEM) requires imaging large areas at high resolution. This leads to prohibitively long acquisition times. We present โ€ฆ

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Chaotic Flexural Vibrations in Biomimetic Scale Substrates

Omid Bateniparvar, Farzan Farahmand, Ranajay Ghosh ยท 2026

Overlapping fish-scale architectures are among nature's most distinctive surface adaptations, combining protection, contact regulation, hydrodynamics, optical and directional mechanical response withiโ€ฆ

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Second-order Kuramoto model with adaptive simplicial complex

Priyanka Rajwani, Sarika Jalan ยท 2026

We investigate the emergence of synchronization in the second-order Kuramoto model with adaptive simplicial interactions on a globally connected network. This inertial Kuramoto framework describes sysโ€ฆ

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PEACC -- Precision Emitter for 21 cm Array Coherent Calibration

Kalyani Bhopi, Morgan Cole, Mallory Helfenbein, Will Tyndall, Audrey Whitmer, Kevin Bandura, Laura Newburgh ยท 2026

Foreground mitigation remains a central challenge for 21 cm intensity mapping experiments, which require precise, wideband calibration of telescope beams and gains. We present the Precision Emitter foโ€ฆ

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Reinforcement learning with reputation-based adaptive exploration promotes the evolution of cooperation

An Li, Wenqiang Zhu, Chaoqian Wang, Longzhao Liu, Hongwei Zheng, Yishen Jiang, Xin Wang, Shaoting Tang ยท 2026

Multi-agent reinforcement learning serves as an effective tool for studying strategy adaptation in evolutionary games. Although prior work has integrated Q-learning with reputation mechanisms to promoโ€ฆ

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Developing Pre-Supernova Neutrino Support for sntools

Ellie O'Brien, Susan Cartwright, Patrick Stowell ยท 2026

The first detection of supernova burst neutrinos was achieved through the observation of SN1987A, almost four decades ago. However, neutrinos produced during the burning stages of a star prior to coreโ€ฆ

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Adapting ILC detector concepts to other facilities

Daniel Jeans ยท 2026

Detectors designed for the International Linear Collider have been studied over many years, and a good understanding of the relevant requirements and constraints has been developed. With the prospect โ€ฆ

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A molecular dynamics simulation of thermalization of crystalline lattice with harmonic interaction

Zhenwei Yao ยท 2026

Understanding the realization of thermal equilibrium through the thermalization process in a many-body system is a fundamental and complex scientific question, bridging thermodynamics and classical dyโ€ฆ

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Emergent dynamic stress regulators via coordinated thermal fluctuations and stress in harmonic crystalline lattices

Zhenwei Yao ยท 2026

Understanding thermal fluctuations yields insights into a wide range of behaviors in many-body systems. In this work, we analyze the dynamical adaptation of two-dimensional crystalline lattice system โ€ฆ

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Routing Entanglement in Complex Quantum Networks Using GHZ States

Xin-An Chen, Caitao Zhan, Joaquin Chung, Jeffrey Larson ยท 2026

Distributing entanglement to distant parties in a network is a central task in quantum information processing and quantum networking. The sensitivity of entangled states to loss necessitates the use oโ€ฆ

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Parameter-Efficient Fine-Tuning of Machine-Learning Interatomic Potentials for Phonon and Thermal Properties

Jonas Grandel, Philipp Benner, Janine George ยท 2026

Machine-learning interatomic potentials are widely used as computationally efficient surrogates for density functional theory in atomistic simulations, enabling large-scale, long-time modeling of mateโ€ฆ

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