Results 131 to 140 of about 190,435 (331)
Student understanding of unit vectors and coordinate systems beyond cartesian coordinates in upper division physics courses [PDF]
Marlene Vega +4 more
openalex +1 more source
It is traditionally thought that the electron‐phonon interactions have a significant impact on the lattice thermal conductivity of both heavily doped p‐type and n‐type semiconductors. However, it is found that this is invalid in most wurtzite semiconductors.
Jianshi Sun +11 more
wiley +1 more source
Mapping activation of resources among upper division physics students in non-Cartesian coordinate systems: A case study [PDF]
Brian Farlow +3 more
openalex +1 more source
This study develops a bioinspired directional hydrogel (BDH) via flow‐induced alignment of polyvinyl alcohol and dispersed carbon nanotubes, enhanced by the immersion of natural moisturizing factors. The BDH exhibits superior mechanical strength, conductivity, and moisture retention, enabling high‐performance flexible sensors for precise motion ...
Hanqi Wang +11 more
wiley +1 more source
The program FANS-3D (finite analytic numerical simulation 3-dimensional) and its applications [PDF]
In this study, the program named FANS-3D (Finite Analytic Numerical Simulation-3 Dimensional) is presented. FANS-3D was designed to solve problems of incompressible fluid flow and combined modes of heat transfer.
Bravo, Ramiro H., Chen, Ching-Jen
core +1 more source
Water‐Wave Pancharatnam‐Berry Phase Induced by 4D Spin‐Orbit State Evolution
The first observation of the Pancharatnam‐Berry (PB) phase in water waves is reported, revealing its extraordinary properties including unbounded phase values, spin‐momentum‐locked unidirectional channels, and a Poincaré hypersphere representation. These findings demonstrate the universality of the PB phase across different wave systems and in higher ...
Wanyue Xiao +3 more
wiley +1 more source
Computation of flow in a carotid artery in a Cartesian coordinate system using voxel information
Nami Matsunaga, Hao Liu, Ryutaro Himeno
openalex +2 more sources
Performance Rate Analysis in Photovoltaic Solar Plants by Machine Learning
Thermal imaging and deep learning are combined to detect faults in photovoltaic panels inspected by autonomous vehicles. A robust pipeline classifies panel defects from aerial thermograms using a convolutional neural network, supporting both real‐time and offline analysis.
Alba Muñoz del Rio +2 more
wiley +1 more source
This paper presents an improved subdomain model for predicting the open-circuit magnetic field of a permanent magnet synchronous linear motor (PMSLM), taking into consideration the axial array and primary end effects.
Yuxin Yang, Qingle Wu
doaj +1 more source

