Results 281 to 290 of about 809,266 (346)

Self‐Reconstruction of Dual‐Morphology Copper‐Iron Selenides for Cost‐Effective Oxygen Evolution Toward Industrial Alkaline Water Splitting

open access: yesAdvanced Functional Materials, EarlyView.
Departing from conventional Ni/Co‐based catalysts, this work presents a Ni/Co‐free CuFe–Se/CFF electrocatalyst with nanoblock–nanorod morphology. It delivers 1000 mA cm−2 at 330 mV overpotential and 620 h stability for the oxygen evolution reaction (OER).
Jiajun Wang   +7 more
wiley   +1 more source

Charge Transport in Ternary Charge‐Transfer Solid Solution Single Crystals

open access: yesAdvanced Functional Materials, EarlyView.
This study deconvolutes the roles of indirect (superexchange) and direct electronic coupling on charge transport in single crystals of an organic charge‐transfer molecular semiconductor (OSC). This model system elegantly demonstrates that structural defects introduced by chemical dopants play a significant role in the electronic performance ...
Jonathan C. Novak   +7 more
wiley   +1 more source

Cold Quad‐Modal Nanocomplex for Precise and Quantitative In Vivo Stem Cell Tracking

open access: yesAdvanced Functional Materials, EarlyView.
Multimodal albumin–bismuth sulfide–superparamagnetic iron oxide (ABS) nanocomplexes are developed for stem cell tracking across four different imaging modalities: MRI, MPI, MSOT, and CT. Combining its flexibility with high sensitivity, this quad‐modal imaging agent enables a robust quantification of ABS‐labeled stem cells in vivo.
Ali Shakeri‐Zadeh   +4 more
wiley   +1 more source

Heteroatom‐Engineering Promoted Co9S8 Bi‐functional Electrocatalyst for Hydrazine‐Assisted Hydrogen Production at Industrial Current Density

open access: yesAdvanced Functional Materials, EarlyView.
Fe and P co‐doped Co9S8 nanocorals (Fe, P‐Co9S8) are successfully synthesized by a heteroatom engineering strategy, which exhibit outstanding bifunctional electrocatalytic performance for both the hydrogen evolution reaction (HER) and hydrazine oxidation reaction (HzOR).
Yuying Meng   +8 more
wiley   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

open access: yesAdvanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy   +3 more
wiley   +1 more source

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