General & Applied Physics · Physics & Astronomy
Applied Physics
The newest papers in Applied Physics that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
81 papers, from 9 September 2026 to 5 November 2026: 81 arXiv preprints.
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Newest papers, page 3
De-Risking Robotic Welding for In-Space Metal Joining Through Physics-Grounded Digital Twins
Growing interest in in-space servicing, manufacturing, and assembly has renewed attention on reliable metal joining for modular construction and on-orbit repair.Computational compressive imaging reconstruction with a simulated-annealing-based Ising solver
Computational compressive imaging, such as single-pixel imaging and lensless imaging, is a promising imaging technique, enabling the reconstruction of objects from under-sampled measurements through…Two-State Dynamical Synapses as a Physical Substrate for Equilibrium Propagation
Equilibrium Propagation (EqProp) updates each synapse by comparing a local term at the free and nudged equilibria.Global-in-time Spectral Duhamel-Picard Method for Post-Exposure Bake Simulation and Physics-Informed Neural Operators for EUV Lithography
We present a global-in-time spectral Duhamel-Picard method with polynomial expansions for post-exposure bake (PEB) simulation.Reverse quantum aging: Restoring rhythmicity from quantum aging state
Quantum aging transition has recently been reported, whereby the oscillatory dynamics of a network of globally coupled quantum self-sustained oscillators is degraded sharply when the fraction of…Imaging the topological sign of a Dirac mass with spin-polarized tunneling
A Dirac mass is characterized not only by its magnitude but also by its sign, which influences the Berry curvature, Hall response, and the propagation direction of chiral boundary modes.Localized Joule heating and carbonization process optimization of 3D printed polymer structures for lab-on-CMOS applications
Use of carbon electrodes integrated with CMOS technology has great promise for lab-on-chip, biomedical, environmental, and industrial applications.Active Neural Matter: A Finite-Window Response Framework for Physical Systems and Distributed AI Workflows
Physical systems and distributed AI workflows can retain past information, receive delayed feedback and combine conflicting signals.Evolution and breakdown of chiral anomaly in Weyl semiconductor tellurium
Chiral anomaly in topological materials manifests as negative longitudinal magnetoresistance, yet the tunability and evolution of this effect remain elusive.Autonomous thermodynamic cycles via robotic mobility and sensing
Thermodynamic cycles are the foundation of energy conversion across natural and engineered systems, transforming heat into useful work.Matching of signal, noise and hardware timescales for filtering and forecasting of correlated noise signals
Physical reservoir computing exploits the nonlinear dynamics of physical systems to process time-dependent data with greater energy efficiency than conventional machine learning approaches.Millisecond phonon lifetimes in piezoelectric nanomechanical resonators
Piezoelectric nanomechanical resonators operating at gigahertz frequencies are a promising platform for quantum information processing and precision sensing, but phonon lifetimes have been limited…A 3D-Printed GHz Microwave-Resonator Paul Trap for Electron Confinement and Millisecond Spin-Qubit Coherence
We report a 3D-printed microwave-resonator Paul trap that operates at the GHz frequencies required for electron confinement while preserving an open geometry suitable for laser access and imaging…Giant Conductance Enhancement in Graphene Nanoscrolls via Interlayer-Coupled States
Graphene nanoscrolls form a unique radial superlattice whose geometry enables transport behaviors distinct from their flat counterparts.Electro-Optical Metalens for Near-Surface Cooling of a Levitated Particle
Advanced levitation optomechanics in the quantum regime requires sophisticated quantumengineered protocols operating at shorter length and time scales, demanding an increasing control over both…Accelerated search for global extrema in structured quantum signals
Extreme values of a physical system are rare by definition, yet they can govern some of its most consequential and anomalous behavior.Correlation Imaging via Hybrid Entanglement between Microwave Photons and Surface Acoustic Wave Phonons
Establishing effective spatial correlations between distinct quantum fields is essential for multi-physics quantum sensing.~We here propose a correlation imaging approach based on the hybrid…BranchIP: Learning Adaptive Equivariant Computation for Interatomic Potentials
Equivariant machine learning interatomic potentials (MLIPs) have revolutionized atomistic modeling, but accurate treatment of complex materials and molecular systems demands expensive models.Thin-capping layer epitaxial quantum dots for near-field quantum photonics
Epitaxial quantum dots (QDs) are widely recognised as one of the best quantum light sources, given their good stability, brightness, quantum efficiency and coherence.TopTimeNet: Topologically-assisted time-series classification model
Distinguishing periodic from chaotic dynamics in a time series is a fundamental challenge in both physics and engineering.
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