Results 101 to 110 of about 4,650,387 (294)
Research on micro/nano scale 3D reconstruction based on scanning electron microscope
Scanning electron microscopy (SEM) has an important application in the petroleum field, which is often used to analyze the microstructure of reservoir rocks, etc. Most of these analyses are based on two-dimensional images.
Huibao Dong +6 more
doaj +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Why Is the Mechanism Underlying the Chiral‐Induced Selectivity Effect Still Challenging?
The chiral‐induced spin selectivity (CISS) effect is observed in many experimental configurations and for different materials. However, there are theoretical challenges in attempting to explain those results. A qualitative framework for explaining all the results is presented.
Ron Naaman, Yossi Paltiel
wiley +1 more source
AI Indexing of Aerial LiDAR Point Cloud for Efficient Query [PDF]
In the era of information revolution, with data being the fuel of AI and analytics, efficient information extraction from LiDAR point clouds becomes indispensable for solving real-world problems and aiding decision-making in geospatial domain.
M. Murugan, A. M. Ramiya
doaj +1 more source
“Smelltronics”—From Gas to Smell Sensing
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono +7 more
wiley +1 more source
A large-scale Glasgow 3D city models derived from airborne LiDAR point clouds
UBDC generates 3D city models via the airborne LiDAR point clouds acquired between 2020-2021 on behalf of Glasgow City Council. We prepared a set of training and validation data to classify the whole LiDAR dataset for subsequent 3D model construction.
Ou, Yunbei +7 more
core +1 more source
The engineering of colloidal nanocrystals with complex compositions has emerged as a highly active area of research within nanomaterials science. This review covers key aspects of colloidal solid‐solution nanocrystal formation using pulsed laser irradiation.
Marina T. Candela +4 more
wiley +1 more source
Iso-parametric tool-path planning for point clouds
Due to the compute-intensiveness and the lack of robustness of the algorithms for reconstruction of meshes and spline surfaces from point clouds, there is a need for further research in the topic of direct tool-path planning based on point clouds.
Zou Q(邹强), Zhao JB(赵吉宾)
core
Submillimetre molecular line observations and modelling of molecular clouds. [PDF]
PhDSubmillimetre molecular line observations of molecular clouds in our galaxy are presented, and the data analysed using various alternative cloud models.
Richardson, Kevin John
core +2 more sources
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald +7 more
wiley +1 more source

