Results 151 to 160 of about 2,681,157 (259)

Electrolyte Additive Strategies in Aqueous Zn‐Ion Batteries: Recent Advances and Prospects

open access: yesAdvanced Science, EarlyView.
This article provides a comprehensive overview of the current status and future development directions of AZIBs electrolyte additives in three aspects: stabilizing zinc anodes (uniform deposition, inhibition of dendritic crystals), protecting cathodes (structural stability, inhibition of dissolution), and enhancing electrolyte stability (wider ...
Yuanze Yu   +7 more
wiley   +1 more source

Advancing Battery Safety: Unveiling Thermal Runaway with a Custom Test Bench

open access: yes
Thermal runaway poses a critical challenge in the safe operation of lithium-ion batteries. This study is focusing on TR (Thermal Runaway) experiments conducted within a unique spherical test bench, aiming to explore and compare the thermal behaviors of ...
Brahmbhatt, Keval   +2 more
core   +1 more source

Highly Flexible and Conformable ZnO/FeGa Magnetoelectric Heterostructures for Skin wound Healing

open access: yesAdvanced Science, EarlyView.
The magnetic field‐induced electric field generated by a highly flexile ZnO(piezoelectric)/FeGa(magnetostrictive) magnetoelectric heterostructure embedded in the low Young's modulus elastomer PDMS has been used to stimulate the wound healing processes.
Filippos Perdikos   +17 more
wiley   +1 more source

Review of Cell Level Battery (calendar and Cycling) Aging Models: Electric Vehicles

open access: yes
Electrochemical battery cells have been a focus of attention due to their numerous advantages in distinct applications recently, such as electric vehicles.
Erdal Cetkin   +3 more
core   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

open access: yesAdvanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao   +9 more
wiley   +1 more source

Design rules for battery fire safety in dwellings [Elektronisk resurs]

open access: yes
The report presents a review of current literature, testing and modelling in support of guidelines how to address current risks with batteries from e-bikes and e-scooters.
Willstrand, Ola,   +2 more
core  

Oregon traffic safety performance plan. Public version

open access: yes, 1998
This archived document is maintained by the Oregon State Library as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Fiscal year 1998-Mode of access: Internet from the Oregon ...

core  

Toward Prostate Cancer Early Warning with a Self‐Powered Wearable Biosensing Platform Integrated with Machine Learning

open access: yesAdvanced Science, EarlyView.
ABSTRACT Current prostate cancer detection methods remain limited in non‐invasiveness and specificity, prompting interest in urinary biomarkers such as sarcosine. Here, we report a urine‐powered wearable platform for non‐invasive sarcosine detection as a proof‐of‐concept for decentralized early warning.
Jing Xu   +10 more
wiley   +1 more source

Workload-Ahead-Driven Online Energy Minimization Techniques for Battery-Powered Embedded Systems with Time-Constraints

open access: yes, 2005
This paper proposes a new online voltage scaling (VS) technique for battery-powered embedded systems with real-time constraints. The VS technique takes into account the tasks execution times and discharge currents to further reduce the battery charge ...
Reddy, Sudhakar M.   +4 more
core  

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

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