Physics-informed graph neural networks accelerating microneedle simulations towards novelty of micro-nano scale materials discovery.
Romrawin ChumpuChun-Lin ChuTanyakarn TreeratanaphitakSanparith MarukatatShu-Han HsuPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- nano scale
- neural network
- pattern recognition
- discovery process
- graph structure
- neural nets
- fuzzy logic
- random walk
- recurrent neural networks
- graph theoretic
- graph representation
- directed graph
- learning materials
- artificial intelligence
- structured data
- computer science
- data mining
- weighted graph
- graph theory
- artificial neural networks
- graph construction
- knowledge discovery
- numerical simulations
- connected components
- back propagation
- multilayer perceptron
- graph matching
- bipartite graph
- community discovery
- genetic algorithm
- simulation environment
- graph structures
- novelty detection
- multi layer
- social networks
- undirected graph
- spanning tree
- graph databases
- graph model
- link analysis
- fuzzy systems
- pattern discovery
- feed forward
- knn
- self organizing maps