Results 171 to 180 of about 2,351,142 (235)

Reliable Ru‐Based CBRAM Synapses for Energy‐Efficient Neuromorphic Computing: Suppressing Filament Overgrowth and Read Noise via Ru‐Pt Alloy and AlOx Engineering

Advanced Electronic Materials, EarlyView.
Ru–Pt alloying suppresses filament overgrowth and an AlOx switching layer enhances reliable switching, hopping transport enables conductance tuning via hopping distance modulation, Ru7Pt3/AlOx/Pt device yields 16 low‐noise conductance states, a 2–3‐fold improvement over prior Ru‐based CBRAM, and CSNN inference on FMNIST reaches 81% accuracy with 103 ...
Sangmin Lee, Sungmin Yoo, Yeonjoo Jeong, Jaewook Kim, Hyun Jae Jang, Jongkil Park, Seongsik Park, Suyoun Lee, Byeong‐Kwon Ju, Jong Keuk Park, Inho Kim   +10 more
wiley   +1 more source

A Single Volatile VO2 Memristor Enabling Neuromorphic Perception, Learning, and Computing

Advanced Electronic Materials, EarlyView.
A single volatile VO2 memristor fabricated via atomic layer deposition is demonstrated as a multifunctional neuromorphic device enabled by intrinsic threshold‐switching dynamics. The device reproduces neuron‐like integration and firing, short‐timescale associative learning, temporal ECG pattern classification, and nociceptive responses to electrical ...
Bingkai Ding, Bohao Ding, Omesh Kapur, Yisong Han, Richard Beanland, Kai Sun, C. H. (Kees) de Groot, Ruomeng Huang   +7 more
wiley   +1 more source

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

Advanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim, Seoa Kim, Erik A. Wu, Darren H. S. Tan, Shawn Peng, Xiaolin Li   +5 more
wiley   +1 more source

Characteristics and causal paths of refined oil depot accidents in China: A statistical and network-based analysis. [PDF]

PLoS One
Jiang W, Zhang Z, Ma S, Pan S, Sang N.
europepmc   +1 more source

Disproportionate Environmental Risks: A Descriptive Analysis of Chemical Facilities and Accidents in the United States

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Using nationwide data on the US Environmental Protection Agency's Risk Management Plan (RMP) program, we examine the proportions of underserved populations living near facilities that use extremely hazardous chemicals, both before and after accidents involving fires, explosions, and/or toxic vapors occur.
Karlee Cook, Dennis Guignet, Robin R. Jenkins, Margaret Sugg   +3 more
wiley   +1 more source

Interpretable machine learning reveals daytime and nighttime forest fire point drivers in Guizhou. [PDF]

iScience
Zhang Y, Li Z, Chen L.
europepmc   +1 more source

Farmers’ Protests in Germany: Media Coverage and Types of Bias

Agribusiness, EarlyView.
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley   +1 more source

Evaluating implementation of a fire-prevention injury prevention briefing in children's centres: Cluster randomised controlled trial. [PDF]

PLoS One, 2017
Deave T, Hawkins A, Kumar A, Hayes M, Cooper N, Watson M, Ablewhite J, Coupland C, Sutton A, Majsak-Newman G, McDaid L, Goodenough T, Beckett K, McColl E, Reading R, Kendrick D.   +15 more
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Multiscale Wildfire-Evacuation Modeling: Assessing Differential Access to Safe Egress in Marin County, CA. [PDF]

Risk Anal
Chang S, Comfort L, Soga K, Li P, Wang Y.   +4 more
europepmc   +1 more source