Results 151 to 160 of about 56,593 (280)

Synergistic Optimization of Cathode Composite Architecture and Stack Pressure for High‐Performance All‐Solid‐State Chloride‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Composite cathode engineering and stack pressure co‐optimization enable a high‐performance all‐solid‐state chloride‐ion battery based on a VOCl/CsSn₀.₉In₀.₀₆₇Cl3/In architecture, delivering 169 mAh g−1 with 500‐cycle durability. Electrode‐resolved impedance tracking via distribution of relaxation times revealed progressive interphase and charge ...
Soutam Panja   +7 more
wiley   +1 more source

A Two‐Stage Characterization Pipeline and Open‐Source Framework for Reproducible Tactile Sensing

open access: yesAdvanced Intelligent Systems, EarlyView.
The same soft tactile sensor returns different numbers when embodied in different robots. This is an Embodiment Gap that no shared framework currently captures transparently. A two‐stage characterization pipeline, paired with a FAIR open‐source digital datasheet, decouples intrinsic sensor behavior from embodiment effects and condenses cross‐laboratory
Matteo Lo Preti   +6 more
wiley   +1 more source

Optimized Generalized LDPC Convolutional Codes. [PDF]

open access: yesEntropy (Basel)
Deng L   +7 more
europepmc   +1 more source

Asymmetric Whisker‐Inspired Sensor Pairs for Enhanced Airflow Sensing on Drones

open access: yesAdvanced Intelligent Systems, EarlyView.
This work incorporates asymmetric cross‐sections into a whisker‐inspired sensor pair to enhance airflow sensing. By comparing signals between two offset asymmetric whiskers, the system improves flow heading estimation and identifies the presence of fan‐generated wind during quadrotor flight.
Teresa A. Kent   +3 more
wiley   +1 more source

Overcoming the Phase Discontinuity Problem in RIS Optimization: A Robust and Scalable Phase‐Aware Deep Regression Framework via Hybrid CNN–LSTM Architecture

open access: yesAdvanced Intelligent Systems, EarlyView.
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen   +3 more
wiley   +1 more source

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou   +5 more
wiley   +1 more source

Iterative Synthesis of Pyrene–Coronene Molecular Graphene Nanoribbons

open access: yesAngewandte Chemie, EarlyView.
An iterative approach delivers a new family of undoped, cove‐edged graphene nanoribbons with lengths up to 9.1 nm that exhibit both molar absorptivity and fluorescence brightness values on the order of 105 M−1 cm−1 and an intrinsic charge‐carrier mobility of 475 ± 32 cm2 V−1 s−1.
Miguel A. Medel   +6 more
wiley   +2 more sources

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