Results 81 to 90 of about 32,489 (252)
Gravitational accretion of hot dark matter
A major difficulty with hot dark matter models, namely their extremely large clustering scales, can be alleviated if small-scale clustering is produced by accretion around a perturbing mass that is not itself composed of dark matter. This paper reports a numerical simulation of such a perturbing mass immersed in a background of hot dark matter.
openaire +1 more source
Eutectozymes as Soft Hybrid Materials for Advanced Biocatalysis
Eutectozymes are sustainable hybrid materials that embed a GOx–HRP cascade within hydrophobic eutectogels featuring a dual supramolecular–covalent network. This architecture preserves native enzyme structure and stability, enables efficient heterogeneous biocatalysis in aqueous media, and positions eutectogels as robust platforms for next‐generation ...
Manuel Eduardo Martinez Cartagena +10 more
wiley +1 more source
We introduce a molecular strategy to assemble one‐dimensional (1D) materials into two‐dimensional (2D) van der Waals metal–organic frameworks (MOFs). Crystals of [FeX(pzX)(bpy)] (X = Cl, F) form anisotropic 2D layers that can be mechanically exfoliated into thin sheets.
Eleni C. Mazarakioti +12 more
wiley +1 more source
Associating a red‐NIR phosphorescent octahedral hexanuclear molybdenum cluster compound with hexaethyleneoxide chains bearing mesogenic units on both ends leads to an emissive hybrid liquid crystal showing mesomorphism on a very unusual temperature range down to −25°C.
Killiann Heinz +11 more
wiley +1 more source
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
A scalable bottom‐up CVD methodology, based on liquid transition metal salt precursors, is presented for the controlled growth of two high‐quality MoSe2–WSe2 heterostructures (HSs): purely lateral (HS I) and hybrid lateral/vertical (HS II), by simply adjusting precursor concentration.
Md Tarik Hossain +16 more
wiley +1 more source
We investigate the coevolution of the angular momentum of Milky Way–like galaxies, their circumgalactic gas, and their dark matter halos using zoom-in simulations from the Figuring Out Gas and Galaxies in Enzo suite.
Raymond C. Simons +12 more
doaj +1 more source
Is Planckian Discreteness Observable in Cosmology?
A Planck scale inflationary era—in a quantum gravity theory predicting discreteness of quantum geometry at the fundamental scale—produces the scale-invariant spectrum of inhomogeneities with a very small tensor-to-scalar ratio of perturbations and a hot ...
Gabriel R. Bengochea +2 more
doaj +1 more source
High‐Performance Bio‐Glue From the Berries of a Parasitic Plant
We report a fully bio‐based adhesive derived primarily from a (poly)saccharide extract obtained from the berries of the hemi‐parasitic plant mistletoe (Viscum album), supplemented with tannic and malic acid without any further chemical functionalization.
Ufuk Gürer +8 more
wiley +1 more source

