Results 151 to 160 of about 8,530 (262)

Optically Bound Rapid Plasmonic Nanorod Dimers: Anisotropic Dynamics Driven by Light‐Fluidic Cooperation

open access: yesLaser &Photonics Reviews, EarlyView.
Optically confined gold nanorods exhibit cooperative light‐driven dynamics, forming mobile end‐to‐end dimers with orientation‐dependent propulsion. Using structured laser traps and an opto‐thermo‐hydrodynamic model, we uncover how optical binding, polarization‐induced torque, and near‐surface hydrodynamics govern their motion.
José A. Rodrigo, Tatiana Alieva
wiley   +1 more source

Synthesis of Core–Shell Te@Se Quantum Dots and Their Broadband Photodetector Performance in Low Concentration Electrolytes

open access: yesLaser &Photonics Reviews, EarlyView.
Te@Se core–shell heterojunction quantum dots (QDs) are synthesized by a two‐step strategy via combining liquid‐phase exfoliation and epitaxial growth. As active materials in photoelectrochemical photodetectors, Te@Se QDs exhibit excellent photo‐response performance in low‐concentration electrolytes and deionized water.
Yiming Zhao   +8 more
wiley   +1 more source

Transient Instability and Patterns of Reactivity in Diffusive-Chemotaxis Soil Carbon Dynamics. [PDF]

open access: yesBull Math Biol
Diele F   +5 more
europepmc   +1 more source

Approximation of Dirac operators with δ‐shell potentials in the norm resolvent sense, II: Quantitative results

open access: yesMathematische Nachrichten, EarlyView.
Abstract This paper is devoted to the approximation of two‐ and three‐dimensional Dirac operators HV∼δΣ$H_{\widetilde{V} \delta _\Sigma }$ with combinations of electrostatic and Lorentz scalar δ$\delta$‐shell interactions in the norm resolvent sense. Relying on results from Behrndt, Holzmann, and Stelzer‐Landauer [Math. Nachr.
Jussi Behrndt   +2 more
wiley   +1 more source

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

open access: yesMacromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig   +7 more
wiley   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés   +2 more
wiley   +1 more source

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