Atomistic simulation of low-dimensional nanostructures toward extreme-scale supercomputing.
Chaofeng HouAiqi ZhuShuai ZhangMingcan ZhaoYanhao YeJi XuWei GePublished in: CCF Trans. High Perform. Comput. (2023)
Keyphrases
- low dimensional
- high dimensional
- simulation model
- dimensionality reduction
- high dimensional data
- small scale
- manifold learning
- simulation study
- pattern recognition
- data points
- nonlinear dimensionality reduction
- boundary conditions
- image processing
- high performance computing
- simulation models
- multidimensional scaling
- sufficient conditions
- euclidean space
- data sets
- principal component analysis
- similarity measure
- computer vision
- neural network