Results 51 to 60 of about 2,804 (173)
This study employs cryogenic magneto‐terahertz nanoscopy to reveal the real‐space electrodynamics of the colossal magnetoresistance transition. By capturing the terahertz electrodynamic evolution of field‐driven spin switching, the work unveils the dissipative dynamics of emergent metallic states, providing a high‐frequency view of coupled spin‐charge ...
Samuel Haeuser +6 more
wiley +1 more source
Giant Magnetic Purcell Effect Induced by High‐Order Mie Resonances
High‐order Mie resonances in dielectric spheres selectively amplify magnetic dipole emission from Eu3+ emitters, producing a giant magnetic Purcell effect. Localized emitters can efficiently access high‐order resonant modes, and the low‐loss TiO2 platform enables direct far‐field observation of the enhanced emission.
Haonan Shi +6 more
wiley +1 more source
Tightly stacked carbazole and 1,2:5,6–naphthalene bisimide units afforded a planar chiral hetero‐cyclophane. The architecturally refined system, with strong charge‐transfer interaction and enhanced structural rigidity, exhibits orange‐red delayed CPL emission in both solution and solid states.
Sanchari Debnath +3 more
wiley +2 more sources
Confined diffusion‐driven interfacial engineering enables the nanoscale construction of asymmetric SiC@C Janus hollow nanoshells, achieving synergistic impedance matching and electromagnetic energy dissipation for highly efficient broadband microwave absorption at ultralow filler loading.
Limeng Song +17 more
wiley +1 more source
CSAKD: Determining Absolute Ligand Affinities From 19F NMR Chemical Shift Anisotropy
Affinity determination is crucial in drug discovery, yet remains difficult for weakly binding fragments. We introduce chemical shift anisotropy KD$K_{\text{D}}$ (CSAKD) by 19F$^{19}{\rm F}$ NMR relaxation experiments, a titration‐free method that requires no isotopic labeling.
Simon H. Rüdisser +2 more
wiley +2 more sources
This paper reviews the physics of liquid metals in RF devices, including the influence of mechanical strain on resonance as well as fabrication methods and strategies for designing tunable and strain‐tolerant inductors, capacitors, and antennas.
Md Saifur Rahman, William J. Scheideler
wiley +1 more source
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
On-shell renormalization with vector-like leptons, one-loop muon–Higgs coupling and muon g − 2
Models with vector-like leptons can strongly modify the lepton mass generation mechanism and lead to correlated effects in lepton–Higgs couplings and lepton dipole moments.
Kilian Möhling +2 more
doaj +1 more source
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
wiley +1 more source
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source

