Results 101 to 110 of about 451 (189)

Enhancing Cycle Life in Superoxide‐Based Na–O2 Batteries by Reducing Interface Reactivity

open access: yesAdvanced Energy Materials, EarlyView.
A new sodium–oxygen (Na–O2) battery is designed with highly active vanadium phosphide (VP) nanoparticles as a catalyst, an ether/ionic liquid‐based electrolyte, and an effective sodium bromide (NaBr) anode protection layer. This designed Na–O2 cell that produces NaO2 is able to reduce the interfacial reactivity between cell materials and the product to
Adel Azaribeni   +14 more
wiley   +1 more source

Exploring Hybrid Electrolytes for Zn Metal Batteries

open access: yesAdvanced Energy Materials, EarlyView.
The recent advance in the design of hybrid electrolytes for Zn metal batteries is comprehensively reviewed, covering their fundamental properties and classification. Moreover, the chemical strategies for the optimization of battery performances are systematically discussed.
Hao Fu   +7 more
wiley   +1 more source

Machine‐Learning‐Based, Feature‐Rich Prediction of Alumina Microstructure from Hardness

open access: yesAdvanced Intelligent Discovery, EarlyView.
Herein, high‐performance generative adversarial network (GAN), named ‘Microstructure‐GAN’, is demonstrated. After training, the high‐fidelity, feature‐rich micrographs can be predicted for an arbitrary target hardness. Microstructure details such as small pores and grain boundaries can be observed at the nanometer scale in the predicted 1000 ...
Xiao Geng   +10 more
wiley   +1 more source

Autonomous Intuition for Advanced Manufacturing Systems: Benefits and Tradeoffs of Presampling for Autonomous Parameterization

open access: yesAdvanced Intelligent Discovery, EarlyView.
Sampling a design space to target a class of possible desirable outcomes, creating an artificial intuition, can accelerate future optimizations to those targets. This is tested experimentally with parameterization to achieve various geometries of freestanding structures using direct ink write (DIW) 3D printing.
Erick J. Braham   +4 more
wiley   +1 more source

Widened Attention‐Enhanced Atrous Convolutional Network for Efficient Embedded Vision Applications under Resource Constraints

open access: yesAdvanced Intelligent Systems, EarlyView.
The article introduces WACEfNet, a new convolutional neural network architecture optimized for efficient aerial image analysis under resource constraints. It creatively integrates attention mechanisms and atrous convolutions into a compact widened residual network framework.
Md Meftahul Ferdaus   +4 more
wiley   +1 more source

A companion to the preclinical common data elements for rodent models of pediatric acquired epilepsy: A report of the TASK3‐WG1B, Pediatric and Genetic Models Working Group of the ILAE/AES Joint Translational Task Force

open access: yesEpilepsia Open, EarlyView., 2022
Abstract Epilepsy syndromes during the early years of life may be attributed to an acquired insult, such as hypoxic–ischemic injury, infection, status epilepticus, or brain trauma. These conditions are frequently modeled in experimental rodents to delineate mechanisms of epileptogenesis and investigate novel therapeutic strategies.
Anna‐Maria Katsarou   +7 more
wiley   +1 more source

Rapid and Reversible Morphing to Enable Multifunctionality in Robots

open access: yesAdvanced Intelligent Systems, EarlyView.
This article introduces a rapid, reversible, and repeatable morphing robot through a bistable latch‐mediated, spring actuated (LaMSA) mechanism. This enables an untethered, multifunctional robot to near‐instantaneously (< 50 ms) and reversibly switch between a flying and driving configuration to navigate through different environments.
Brittan T. Wilcox   +2 more
wiley   +1 more source

From Simulation to Reality: Transfer Learning for Automating Pseudo‐Labeling of Real and Infrared Imagery

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a novel method for labeling real‐world color and infrared images using a synthetically trained system. Applied to flight test imagery, the new labels enhance object detection. The method works without expensive truth systems or camera calibration, enabling predictions on past datasets and addressing the need for high‐quality ...
Jeffrey Choate   +6 more
wiley   +1 more source

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