Results 131 to 140 of about 2,356,106 (296)
Reevaluating the Activity of ZIF‐8 Based FeNCs for Electrochemical Ammonia Production
Though receiving much attention, the field of electrochemical nitrogen reduction reaction (eNRR) to ammonia is marked by doubts about whether this reaction is possible in aqueous media. This work sheds light on this question for iron single‐atom on N‐doped carbon (FeNC) catalysts—a class of well‐known catalysts that is also worth testing for the sister
Caroline Schneider +6 more
wiley +1 more source
A solvent‐free mechanochemistry‐enabled supramolecular engineering strategy is developed to directly synthesize covalent‐interconnected two‐dimensional atomic‐layered carbon nitride nanosheets photocatalyst, bypassing conventional top‐down exfoliation requirements.
Fanglei Yao +7 more
wiley +1 more source
Herein presented supraparticles combine the nanoparticulate photocatalyst graphitic carbon nitride with the enzyme horseradish peroxidase, which is immobilized on silica nanoparticles. In an optimized compatibility range, both catalysts operate effectively within the hybrid supraparticles and catalyze a cascade reaction consisting of the photocatalytic
Bettina Herbig +11 more
wiley +1 more source
Defects Dynamic in Photo‐Excited CeO2 and their Influence on CO2 Photoreduction
X‐ray photoelectron spectroscopy study under light excitation is presented to track the defect dynamic (Ce4+ to Ce3+) in CeO2. Surface enhanced Raman spectroscopy confirmed the key role of Ce3+ states in controlling charge and energy transfer across the CeO2‐dye molecule interface.
Rambabu Yalavarthi +3 more
wiley +1 more source
A bespoke multilayer thin film configuration has been designed, which overcomes the material dependency of conventional isotope exchange Raman spectroscopy (IERS). This universal IERS methodology is efficient, non‐destructive and provides additional structural information and time resolution, which can be further extended to various isotopic elements ...
Zonghao Shen +7 more
wiley +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Avicultura Integrada E Estratégias de Mercado de Grandes Empresas em Pernambuco
O agronegócio da avicultura pernambucana é de grande importância no oferecimento de ocupação, emprego e renda, sobretudo no meio rural. O Estado não dispõe de milho e soja para produzir o frango, tem que trazer essas matériasprimas de regiões produtoras ...
Tales Vital
doaj
Spark plasma sintering enables rapid processing of porous organic polymer (POP) from fine powders to a freestanding and mechanically robust monolith. The sintering process retains the CO2 adsorption capacity and CO2/N2 selectivity, making the monolith more suitable as a solid sorbent for practical carbon capture applications.
Duan Li +4 more
wiley +1 more source

