Results 221 to 230 of about 6,684,686 (316)

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

Operando Electro‐Rheology: Unraveling Decoupled Ion Transport‐Mechanical‐Morphological Properties in Nanostructured Block Copolymer Electrolytes

open access: yesAdvanced Energy Materials, EarlyView.
A novel operando methodology, which combines simultaneous rheological and electrochemical measurements under dc polarization in a LiTFSI‐doped polystyrene‐block‐poly(ethylene oxide) block copolymer electrolyte, is developed. Time‐resolved monitoring of the viscoelastic and electrochemical responses to galvanostatic stimulus enables to elucidate the ...
Martino Airoldi   +2 more
wiley   +1 more source

Interlayer Electronic Decoupling Unlocks Giant Birefringence in π-Conjugated Metal-Organic Frameworks. [PDF]

open access: yesAdv Mater
Zhang JX   +10 more
europepmc   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

open access: yesAdvanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows   +7 more
wiley   +1 more source

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

open access: yesAdvanced 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   +3 more
wiley   +1 more source

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

open access: yesAdvanced 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   +3 more
wiley   +1 more source

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