Results 71 to 80 of about 109,285 (289)

An Ultrathin, Cyano‐Functionalized Copolymeric Memristor by iCVD Process for Driving Convolutional Neural Networks of High‐Resolution Images

open access: yesAdvanced Science, EarlyView.
Two‐terminal polymer memristors based on cyano‐functionalized copolymer films are developed via a solvent‐free, initiated chemical vapor deposition (iCVD) process for high‐resolution image classification. Molecularly engineered p(CEA‐co‐DEGDVE) films enable stable, linear, and symmetric conductance modulation, supporting multi‐level weight mapping in ...
Ji In Kim   +10 more
wiley   +1 more source

HARD: A performance portable radiation hydrodynamics code based on FleCSI framework

open access: yesSoftwareX
Hydrodynamics And Radiation Diffusion (HARD) is an open-source application for high-performance simulations of compressible hydrodynamics with radiation-diffusion coupling.
Julien Loiseau   +9 more
doaj   +1 more source

Response errors explain the failure of independent-channels models of perception of temporal order

open access: yesFrontiers in Psychology, 2012
Independent-channels models of perception of temporal order (also referred to as threshold models or perceptual latency models) have been ruled out because two formal properties of these models (monotonicity and parallelism) are not borne out by data ...
Miguel A García-Pérez   +1 more
doaj   +1 more source

Rapid Arbitrary‐Shape Microscopy of Unsectioned Tissues for Precise Intraoperative Tumor Margin Assessment

open access: yesAdvanced Science, EarlyView.
This study presents a novel microscopic imaging system capable of rapid, section‐free scanning of irregular tissue surfaces, delivering high sensitivity for detecting cancer cell clusters during intraoperative tumor margin assessment. Abstract Rapid and accurate intraoperative examination of tumor margins is crucial for precise surgical treatment, yet ...
Zhicheng Shao   +17 more
wiley   +1 more source

A Quantum Framework for Protein Binding‐Site Structure Prediction on Utility‐Level Quantum Processors

open access: yesAdvanced Science, EarlyView.
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang   +10 more
wiley   +1 more source

Enhancement of GPU-accelerated smoothed particle hydrodynamics (SPH) method with dynamic parallelism

open access: yesResults in Engineering
An innovative GPU programming architecture leveraging CUDA Dynamic Parallelism (CDP) is introduced in this study, aiming to enhance the computational efficiency of Smoothed Particle Hydrodynamics (SPH) simulations.
Liwen Xue, Shenglong Gu, Songdong Shao
doaj   +1 more source

Harnessing Time‐Dependent Magnetic Texture Dynamics via Spin‐Orbit Torque for Physics‐Enhanced Neuromorphic Computing

open access: yesAdvanced Science, EarlyView.
A neuromorphic computing platform using spin‐orbit torque‐controlled magnetic textures is reported. The device implements bio‐inspired synaptic functions and achieves high performance in both pattern recognition (>93%) and combinatorial optimization (>95%), enabling unified processing of cognitive and optimization tasks.
Yifan Zhang   +13 more
wiley   +1 more source

Compact Optical Reservoir Computing via Luminescence Dynamics in Rare‐Earth Ions‐Doped Nanocrystals

open access: yesAdvanced Science, EarlyView.
A functionally compact optical reservoir computing platform is demonstrated using rare‐earth ion‐doped nanocrystals, whose intrinsic nonlinear luminescence dynamics and multi‐timescale metastable states provide nonlinear mapping and fading memory without bulky delays or resonant structures.
Junyan Chen   +7 more
wiley   +1 more source

Benefits of Open Quantum Systems for Quantum Machine Learning

open access: yesAdvanced Quantum Technologies, EarlyView., 2023
Quantum machine learning (QML), poised to transform data processing, faces challenges from environmental noise and dissipation. While traditional efforts seek to combat these hindrances, this perspective proposes harnessing them for potential advantages. Surprisingly, under certain conditions, noise and dissipation can benefit QML.
María Laura Olivera‐Atencio   +2 more
wiley   +1 more source

Microscale Mapping of Fiber Strain and Damage in Composite Wrinkled Laminates Using Computed Tomography Assisted Wide‐Angle X‐Ray Scattering

open access: yesAdvanced Science, EarlyView.
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong   +7 more
wiley   +1 more source

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