Lévy Diffusion Under Power-Law Stochastic Resetting. [PDF]
Liu J, Li Y, Marchesoni F.
europepmc +1 more source
Excitonic Landscapes in Monolayer Lateral Heterostructures Revealed by Unsupervised Machine Learning
Hyperspectral photoluminescence data from graded MoxW1 − xS2 alloys and monolayer MoS2–WS2 lateral heterostructures are analyzed using unsupervised machine learning. The combined use of PCA, t‐SNE, and DBSCAN uncovers distinct excitonic regions that trace how composition, strain, and defects modulate optical responses in these 2D materials.
Maninder Kaur +4 more
wiley +1 more source
Distribution Approach to Local Volatility for European Options in the Merton Model with Stochastic Interest Rates. [PDF]
Nowak P, Gatarek D.
europepmc +1 more source
A graphene‐based bowtie plasmonic nanotweezer is designed and optimized using particle swarm optimization and transfer matrix analysis. The structure achieves strong field confinement, delivering trapping forces up to 6 nN W−1 for 10 nm bioparticles with sixfold lower power requirements than conventional designs.
Saba Ebrahimpanah +2 more
wiley +1 more source
VeloxChem: Large-Scale DFT Calculations of Geometric Derivatives up to Second Order for Simulation of IR Spectra. [PDF]
Andersen JH +5 more
europepmc +1 more source
Sharp Diamond Needles for Single‐Photon Emission
We study the morphological evolution of single‐crystal diamond needles oxidized at 650–700 °C. Electron microscopy and photoluminescence reveal temperature‐ and time‐dependent sharpening, length reduction, and surface modifications affecting tip properties.
Mariam Quarshie +9 more
wiley +1 more source
Intelligent regulation of university faculty interdisciplinary collaboration networks based on complex network topology evolution and stochastic differential equations. [PDF]
Ren S.
europepmc +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Beyond Bayesian Inference: The Correlation Integral Likelihood Framework and Gradient Flow Methods for Deterministic Sampling. [PDF]
Gwiazda P +3 more
europepmc +1 more source
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source

