Results 131 to 140 of about 186,246 (311)
Disorder‐Induced Extremely Low Thermal Conductivity of Graphite Fluoride
This article investigates the effect of fluorination on the thermal conductivity of graphite fluoride, demonstrating the relationship between structural modification and thermal conductivity in an extreme case. The record‐low through‐plane thermal conductivity measured in exfoliated graphite fluoride flakes was found to correlate with the wide ...
Wonsik Lee +10 more
wiley +1 more source
A synergistic approach using phenethylammonium iodide (PEAI) and antimony iodide (SbI3) enhances the operational stabilities of perovskite solar cells by providing p‐type doping effect, suitable band energy alignment, reduced defect density, and minimized surface ion vacancies in the perovskite films.
Abraham Adenle +17 more
wiley +1 more source
The purpose of this study was to determine the NPK value, biomass increase, and pH as the effect of the use of variations in Chinese cabbage and papaya waste feed to reduce environmental pollution and also increase the benefits of organic waste, and ...
Nurcahyani +4 more
doaj +1 more source
An activity‐dependent pathway links prefrontal circuit hypoactivity to cognitive impairment. Reduced PVA–mPFC activity upregulates NEPAS, which suppresses PTX3 secretion, leading to impaired angiogenesis, myelin deficits, and memory decline. Rescue is achieved by NEPAS knockdown or chemogenetic circuit activation.
Boya Hu +11 more
wiley +1 more source
Photocatalytic treatment of glyphosate herbicide in agricultural wastewater is achieved through the cooperative effect of the local polarization field and dipole field mediated by lattice‐distorted carbon nitride. Glyphosate is completely degraded via selective C─P bond cleavage with a CO evolution rate of 1166 µmol g−1 h−1.
Daoping Chen +7 more
wiley +1 more source
Generative AI‐Driven Accelerated Discovery of Passivation Molecules for Perovskite Solar Cells
A generative artificial intelligence (AI) framework combining a discriminative machine learning model (SMILES‐X) and a generative language model (GPT‐2) autonomously discovers new molecular passivators for perovskite solar cells (PSCs). Through an iterative design loop, over 100 000 candidates are generated and screened, and randomly selected molecules
Adroit T. N. Fajar +7 more
wiley +1 more source

