Results 161 to 170 of about 1,580,311 (297)

Unlocking Ultra‐Long Cycle Stability of Li Metal Electrode by Separators Modified by Porous Red Phosphorus Nanosheets

open access: yesAdvanced Functional Materials, EarlyView.
Coating the standard polypropylene separator with a porous red phosphorous nanosheet greatly improves cycling performance in Li electrode cells. The phosphorus‐based surface chemistry deactivates electrolyte solvent decomposition and enhances the cleavage of F‐containing salt, resulting in an inorganic‐dominated electrolyte interphase (SEI) composition
Jiangpeng Wang   +9 more
wiley   +1 more source

Copper‐based Materials for Photo and Electrocatalytic Process: Advancing Renewable Energy and Environmental Applications

open access: yesAdvanced Functional Materials, EarlyView.
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida   +16 more
wiley   +1 more source

Rational Fine‐Tuning of MOF Pore Metrics: Enhanced SO2 Capture and Sensing with Optimal Multi‐Site Interactions

open access: yesAdvanced Functional Materials, EarlyView.
A pore tuning strategy to amplify the multi‐site MOF‐SO2 interactions is proposed to achieve an enhanced trace SO2 capture and chemiresistive sensing in highly stable isostructural DMOFs by annelating benzene rings. This work provides a facile strategy to achieve tailor‐made stable MOF materials for specific multifunctional applications.
Shanghua Xing   +9 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

Fully convolutional networks for velocity-field predictions based on the wall heat flux in turbulent boundary layers. [PDF]

open access: yesTheor Comput Fluid Dyn
Guastoni L   +8 more
europepmc   +1 more source

2D Multifunctional Spin‐Orbit Coupled Dirac Nodal Line Materials

open access: yesAdvanced Functional Materials, EarlyView.
A total of 473 nonmagnetic and antiferromagnetic 2D spin‐orbit coupled Dirac nodal line materials are screened, spanning 5 layer groups and 12 magnetic space groups. Furthermore, it integrates their topological properties with electride, multiferroic, and magnetic characteristics, revealing unique systems with expanded functionalities and promising ...
Weizhen Meng   +7 more
wiley   +1 more source

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