Results 131 to 140 of about 256,867 (328)
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
A Stochastic Geometry Analysis of Hybrid Cellular-Adhoc CDMA Networks
This paper studies the impact of using multihop wireless adhoc network in conjunction with cellular networks under a probabilistic routing strategy. Our objective is to obtain the outage probability of the twodimensional hybrid CDMA network under path ...
Neda Banivaheb, Keivan Navaie
doaj
Unified Stochastic Geometry Modeling and Analysis of Cellular Networks in LOS/NLOS and Shadowed Fading [PDF]
Imène Trigui, Sofiène Affes, Ben Liang
openalex +1 more source
Cell-Free Massive MIMO with Finite Fronthaul Capacity: A Stochastic Geometry Perspective [PDF]
Priyabrata Parida, Harpreet S. Dhillon
openalex +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
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
Spectral Efficiency of Dynamic Coordinated Beamforming: A Stochastic Geometry Approach [PDF]
Namyoon Lee +3 more
openalex +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
Coverage probability analysis of three uplink power control schemes: Stochastic geometry approach. [PDF]
Herath P, Tellambura C, Krzymień WA.
europepmc +1 more source

