Results 121 to 130 of about 435,912 (249)

Integer Error Control Codes for Non-ECC DRAM Memories", Horizons in Computer Science Research

open access: yes
A large percentage of dynamic random access memories (DRAMs) are not protected by error control codes (ECCs). Because of this, in these so-called non-ECC DRAMs, every erroneous bit may cause file corruptions and even system crashes. In order to avoid such an outcome, it is necessary to either modify the existing hardware or reduce the effective ...
openaire   +1 more source

Polarization‐Multiplexed Metalens Enables Switchable and Compact Chromatic Confocal Sensing with Dual‐Mode Precision Control

open access: yesAdvanced Science, EarlyView.
This work breaks conventional design paradigms by leveraging a polarization‐multiplexed metasurface to create the first chromatic confocal sensor with dynamically switchable measurement performance, achieving 10‐fold miniaturization (Ø1 mm vs cm‐scale conventional probes).
Zhicheng Zhao   +5 more
wiley   +1 more source

A Perspective on Interactive Theorem Provers in Physics

open access: yesAdvanced Science, EarlyView.
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley   +1 more source

Perspective: Hollow Core Optical Fibres for Ultraviolet and Visible Wavelengths

open access: yesAdvanced Science, EarlyView.
Hollow core optical fibres bypass material constraints that limit optical fibres at ultraviolet and visible wavelengths. However, their challenging fabrication has limited their development, and significant gains in performance remain possible. In this perspective we outline approaches to enable the next generation of fibres for shorter wavelengths ...
Robbie Mears   +5 more
wiley   +1 more source

3D‐MOF‐Lattice Inspired Programmable Metamaterials Based on Reconfigurable Polyhedral Origami

open access: yesAdvanced Science, EarlyView.
A novel metamaterial design strategy: inspired by MOFs crystal networks, creating reconfigurable modular polyhedral units to overcome the limitations of traditional materials. These modules exhibit adjustable stiffness, bistability, and Poisson's ratio that can be adjusted from negative to positive values.
Xi Kang   +5 more
wiley   +1 more source

Inferring Gene Regulatory Networks From Single‐Cell RNA Sequencing Data by Dual‐Role Graph Contrastive Learning

open access: yesAdvanced Science, EarlyView.
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan   +9 more
wiley   +1 more source

Nanozymes Integrated Biochips Toward Smart Detection System

open access: yesAdvanced Science, EarlyView.
This review systematically outlines the integration of nanozymes, biochips, and artificial intelligence (AI) for intelligent biosensing. It details how their convergence enhances signal amplification, enables portable detection, and improves data interpretation.
Dongyu Chen   +10 more
wiley   +1 more source

Utilizing Cooperative Proton–Electron Mixed Conduction Induced via Chemical Dedoping of Self‐Doped Poly(3,4‐ethylenedioxythiophene) Nanofilms for In‐Material Physical Reservoirs

open access: yesAdvanced Science, EarlyView.
This study demonstrates a new concept for high‐performance in‐material physical reservoirs (PRs). An intrinsic and cooperative ion–electron state, induced by chemical dedoping in self‐doped poly(3,4‐ethylenedioxythiophene) (S‐PEDOT) nanofilms, enhances the performance of in‐material PRs.
Yuya Ishizaki‐Betchaku   +10 more
wiley   +1 more source

SAGE: Spatially Aware Gene Selection and Dual‐View Embedding Fusion for Domain Identification in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
SAGE is a unified framework for spatial domain identification in spatial transcriptomics that jointly models tissue architecture and gene programs. Topic‐driven gene selection (NMF plus classifier‐based scoring) highlights spatially informative genes, while dual‐view graph embedding fuses local expression and non‐local functional relations.
Yi He   +5 more
wiley   +1 more source

High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning

open access: yesAdvanced Science, EarlyView.
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang   +6 more
wiley   +1 more source

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