Strong Coupling in Bulk Nanoplasmonic Nanoplatelet Perovskite Scintillators
A bulk scintillating nanocomposite is engineered from CsPbBr3 nanoplatelets and Ag nanocubes to support exciton–plasmon strong coupling under X‐ray excitation. The resulting hybrid polaritonic states appear directly in radioluminescence, opening a route toward polariton‐enabled scintillator design beyond conventional Purcell enhancement.
Michal Makowski +13 more
wiley +1 more source
Quality optimization of liquid silicon lenses based on sequential approximation optimization and radial basis function networks. [PDF]
Chang H, Lu S, Sun Y, Lan Y.
europepmc +1 more source
Ionic Gating of Liquid‐Crystal‐Like Pteridine Assemblies Enables Tunable Light Scattering
Tunable optical properties emerge through developmentally regulated ionic gating, which transforms disordered, ultraviolet (UV)‐absorbing organelles into concentrically ordered, liquid‐crystal‐like light scatterers. By integrating analyses of pteridine composition, potassium‐dependent assembly, hierarchical ultrastructure, and optical behavior, the ...
Sourabh Bera +22 more
wiley +1 more source
Density‐driven differential sedimentation fractionates solution‐assembled P3HT nanowires into crystalline and disordered constituents. High‐resolution cryo‐TEM directly visualizes the molecular chain packing within individual nanowires in real space, and recombining the fractions programs the mobility–stretchability trade‐off without chemical ...
Junyeon Yoon, Jun Ho Hwang, Eunji Lee
wiley +1 more source
Boosting Estimation of RBF Neural Networks for Dependent Data [PDF]
This paper develops theoretical results for the estimation of radial basis function neural network specifications, for dependent data, that do not require iterative estimation techniques.
George Kapetanios, Andrew P. Blake
core
Inverse Design of Nanoparticulate Materials
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré +5 more
wiley +1 more source
Adaptive Neural Control for Constrained Biomimetic Rehabilitation Robots Using a Novel High-Order Integral Barrier Function. [PDF]
Zhang T, Zhang J, Yan P.
europepmc +1 more source
Programmable Carrier‐Free All‐Enzyme Beads for Modular Continuous‐Flow Biocatalysis
Genetically encoded enzyme building blocks self‐assemble into monodisperse, carrier‐free protein beads via a droplet‐based formulation strategy. These programmable catalytic particles enable modular continuous‐flow biocatalysis, from single‐enzyme reactions to multi‐enzyme cascades and bead–bead coupled reactor systems.
Jennifer Kühne +12 more
wiley +1 more source
Soft and Transient Bioelectronics Enabled by Polymer‐Free Ti3C2Tx MXene Hydrogels
We present Ti3C2Tx MXene hydrogel (MXgel) bioelectronics, a soft, flexible, and fully transient platform for high‐fidelity neural recording and stimulation. MXgel bioelectronics exhibit exceptional electrical conductivities, low electrochemical impedances, and high charge injection capacities.
Raghav Garg +15 more
wiley +1 more source
Seamless Mechanical Programming Through Hybrid Epoxy–Acrylate Printing for Soft–Rigid Robots
Hybrid epoxy‐acrylate printing enables seamless fabrication of soft–rigid robotic systems with covalently integrated interfaces and functionally graded mechanics. Grayscale exposure expands the accessible material space, enabling spatially programmed actuation through patterned stiffness while revealing the mechanics and durability of continuously ...
David C. Bershadsky +3 more
wiley +1 more source

