Results 161 to 170 of about 25,586 (214)

Degradation Pathways of Silicon‐Based Anodes in Lithium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Silicon‐based anodes undergo degradation through five primary pathways: (1) mechanical and structural deterioration of the active material, (2) loss of electrode integrity and electrical contact, (3) mechanical instability of the solid electrolyte interphase (SEI), characterized by repetitive fracture and deformation, (4) chemical instability of the ...
Yoon Jeong Choi, Ji‐Youn Bae, Ga‐On Park, Seung‐Ho Yu   +3 more
wiley   +1 more source

A Kinetic Study of the Inhibition Mechanism of 2,3,3,3-Tetrafluoropropene on Hydrogen Combustion. [PDF]

ACS Omega
Zheng B, Lin S, Du Z.
europepmc   +1 more source

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

Advanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source

Fusing Wearable and Environmental Sensors for Context-Aware Firefighter Wellbeing Monitoring. [PDF]

Sensors (Basel)
Appelle A, Stach E, Boyd B, Salvino L, Lynch JP.   +4 more
europepmc   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Capitalizing on integrated landscape approaches for wildfire risk mitigation in the Mediterranean region. [PDF]

iScience
Varela E, Hernández-Morcillo M, Jay M, Ascoli D, Athanasiou M, Bacciu V, Canadas MJ, Canaleta G, Castro P, Otero I, Paula A, Pulido F, Prat N, Salis M, Tedim F, Xanthopoulos G, Plieninger T.   +16 more
europepmc   +1 more source

Ultrafine and respirable particle exposure during vehicle fire suppression. [PDF]

Environ Sci Process Impacts, 2015
Evans DE, Fent KW.
europepmc   +1 more source

Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training

Advanced Intelligent Systems, EarlyView.
The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez, Raúl Parada, Jordi Casas‐Roma, Laia Subirats   +3 more
wiley   +1 more source

Flame Retardancy of Vinyl Acetate-Ethylene Emulsion Adhesives Modified with Intumescent Flame Retardants and Fly Ash. [PDF]

Polymers (Basel)
Wang Q, Luo J, Sun Y, Liu W, Wang X, Jiang P.   +5 more
europepmc   +1 more source

Low‐Voltage Operation of IGZO Memtransistors Enabled by Coupling Enhancement Through 2T Drain‐Driven Operation for Neuromorphic Computing

Advanced Intelligent Systems, EarlyView.
A two‐terminal IGZO memtransistor enabling low‐voltage operation is demonstrated through coupling enhancement. By utilizing drain‐induced Fowler–Nordheim tunneling, the device achieves programming below 10 V with a large memory window and high on/off ratio.
Junhyeong Park, Sunyeol Bae, Yumin Yun, Chae‐Hwan Park, Donghyeon Lee, Soo‐Yeon Lee   +5 more
wiley   +1 more source