Results 111 to 120 of about 26,529 (261)
Ru─Ni nanoclusters are anchored on WC via a rapid microwave quasi‐solid‐state method to build an ordered flexible interfacial hydrogen bond network. This structure boosts water dissociation and enables barrier‐free H/OH transport via the Grotthuss mechanism, forming dual H‐to‐Ru and OH‐to‐Ni spillover pathways to overcome the key challenges of alkaline
Xiangrui Zhuge +8 more
wiley +1 more source
The role of disturbances in forest regeneration
Rola zaburzeń w regeneracji ...
openaire +1 more source
This article provides a comprehensive analysis of transition metal phosphides (TMP) as electrocatalysts for urea‐assisted water electrolysis, highlighting the critical role of phosphorus engineering in modulating electronic structure, optimizing active sites, and enhancing catalytic durability.
Shivalingayya Gaddimath +8 more
wiley +1 more source
Abstract Chemical‐looping gasification (CLG) offers a promising route for renewable biomass valorization, yet conventional oxygen carrier regeneration with O₂/H₂O is energy‐intensive and often produces low‐quality syngas. Here, we develop an inverse ZrO2/Co3O4 oxygen carrier that enables selective biochar oxidation and efficient lattice‐oxygen transfer
Junling Gao +9 more
wiley +1 more source
We present here (1)⊂MIP‐216(Zr), a new hybrid material composed of an FeII spin crossover complex (1) loaded in the pores of a new hydrophobic metal–organic framework (MIP‐216(Zr), that presents a high affinity toward acetic acid and acts as a highly sensitive colorimetric sensor of acetic acid vapor due to a spin state switching of the encapsulated ...
Emmelyne Cuza +8 more
wiley +2 more sources
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Protic molecules containing strong O─H or N─H bonds typically resist hydrogen‐atom abstraction because of the high reactivity of the resulting heteroatom‐centered radicals. However, association of the protic molecules with redox‐active Lewis acids can provide powerful hydrogen‐atom donors or proton‐coupled‐electron‐transfer reagents.
Petra Vojáčková, Armido Studer
wiley +2 more sources
Interaction Hierarchy and Polymorphic Structure–Property Dynamics in Luminescent Molecular Crystals
Competing homotypic and heterotypic intermolecular interactions give rise to polymorphic structure–property dynamics in luminescent molecular crystals. Thermal and mechanical stimuli induce distinct phase‐transition pathways accompanied by pronounced photoluminescence changes.
Mahiro Nakabayashi, Shotaro Hayashi
wiley +2 more sources
Objective Multiple sclerosis (MS) is a chronic autoimmune disease where B cells play a central pathogenic role. Cladribine, an oral therapy, provides durable benefits by reshaping lymphocyte populations, yet its specific long‐term impact on distinct B‐cell subsets is not fully understood.
Marta Pirronello +20 more
wiley +1 more source

