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🔍 adaptation 📂 Physics 📄 Preprint
Showing 1511 results for "adaptation" in Physics · Preprint
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 · 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 depe…

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Physics Preprint PDF DOI

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

Arielle Sanford, Andrew T. Kamen, Frederic T. Chong, Andy J. Goldschmidt · 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.…

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Upgrading Extremal Flows in the Space of Derivatives

Rajeev S. Erramilli · 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 gener…

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

Monit Sharma, Hoong Chuin Lau · 2026

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

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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 · 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, no…

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

Dirk Ekelschot · 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 us…

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Physics Preprint PDF DOI

A new thermodynamic language for colloid systems

Junfeng Zhou, Geliang Zhu, Lei Xu · 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 & cry…

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Physics Preprint PDF DOI

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

Omid Vaheb, Sebastien Fabbro, Stark Draper · 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 met…

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Physics Preprint PDF DOI

Learning to Concatenate Quantum Codes

Nico Meyer, Christopher Mutschler, Dominik Seu{ss}, Andreas Maier, Daniel D. Scherer · 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 concat…

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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 · 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 …

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Chaotic Flexural Vibrations in Biomimetic Scale Substrates

Omid Bateniparvar, Farzan Farahmand, Ranajay Ghosh · 2026

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

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Second-order Kuramoto model with adaptive simplicial complex

Priyanka Rajwani, Sarika Jalan · 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 sys…

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Physics Preprint PDF DOI

PEACC -- Precision Emitter for 21 cm Array Coherent Calibration

Kalyani Bhopi, Morgan Cole, Mallory Helfenbein, Will Tyndall, Audrey Whitmer, Kevin Bandura, Laura Newburgh · 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 fo…

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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 · 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 promo…

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Developing Pre-Supernova Neutrino Support for sntools

Ellie O'Brien, Susan Cartwright, Patrick Stowell · 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 core…

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Adapting ILC detector concepts to other facilities

Daniel Jeans · 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 …

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

Zhenwei Yao · 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 dy…

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

Zhenwei Yao · 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 …

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Routing Entanglement in Complex Quantum Networks Using GHZ States

Xin-An Chen, Caitao Zhan, Joaquin Chung, Jeffrey Larson · 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 o…

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

Jonas Grandel, Philipp Benner, Janine George · 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 mate…

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