Artificial Neural Network modeling of spin-transition behavior in two-dimensional molecular magnet: The learning by experiences analysis
In this work, the spin-transition behavior in molecular magnet was investigated via Monte Carlo simulation on Ising model with mechano-elastic interaction extension. The initial spin-arrangement took hexagonal lattice structure in two dimensions, where spin molecules situated on the hexagonal lattic...
Saved in:
Main Authors: | Wimalin Laosiritaworn, Yongyut Laosiritaworn |
---|---|
格式: | 雜誌 |
出版: |
2018
|
主題: | |
在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84887432562&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/52398 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Artificial Neural Network modeling of spin-transition behavior in two-dimensional molecular magnet: The learning by experiences analysis
由: Wimalin Laosiritaworn, et al.
出版: (2018) -
Artificial Neural Network modeling of spin-transition behavior in two-dimensional molecular magnet: The learning by experiences analysis
由: Laosiritaworn W., et al.
出版: (2014) -
Artificial Neural Network modeling of spin-transition behavior in two-dimensional molecular magnet: The learning by experiences analysis
由: Laosiritaworn W., et al.
出版: (2014) -
Concurrent modeling of magnetic field parameters, crystalline structures, and ferromagnetic dynamic critical behavior relationships: Mean-field and artificial neural network projections
由: Yongyut Laosiritaworn, et al.
出版: (2018) -
Concurrent modeling of magnetic field parameters, crystalline structures, and ferromagnetic dynamic critical behavior relationships: Mean-field and artificial neural network projections
由: Yongyut Laosiritaworn, et al.
出版: (2018)