Artificial Neural Network modeling of spin-transition behavior in two-dimensional molecular magnet: The learning by experiences analysis

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:

書目詳細資料
Main Authors:	Wimalin Laosiritaworn, Yongyut Laosiritaworn
格式:	雜誌
出版:	2018
主題:	Chemistry Materials Science
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!
機構:	Chiang Mai University

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)

Modelling Infectious Disease Spreading Dynamic via Magnetic Spin Distribution: The Stochastic Monte Carlo and Neural Network Analysis
由: Yongjua Laosiritaworn, et al.
出版: (2018)

Modelling Infectious Disease Spreading Dynamic via Magnetic Spin Distribution: The Stochastic Monte Carlo and Neural Network Analysis
由: Yongjua Laosiritaworn, et al.
出版: (2018)

Artificial neural network modeling of mean-field ising hysteresis
由: Wimalin Laosiritaworn, et al.
出版: (2018)

Artificial neural network modeling of mean-field ising hysteresis
由: Wimalin Laosiritaworn, et al.
出版: (2018)

Role of reduced geometry on critical spin-crossover behavior in molecular magnet: Monte Carlo simulation
由: Yongyut Laosiritaworn
出版: (2018)

Role of reduced geometry on critical spin-crossover behavior in molecular magnet: Monte Carlo simulation
由: Yongyut Laosiritaworn
出版: (2018)

Artificial neural network modeling of ferroelectric hysteresis: an application to soft lead zirconate titanate ceramics
由: Wimalin Laosiritaworn, et al.
出版: (2018)

Artificial neural networks parameters optimization design of experiments: An application in materials modeling
由: Wimalin Laosiritaworn, et al.
出版: (2018)

Artificial neural networks parameters optimization design of experiments: An application in materials modeling
由: Wimalin Laosiritaworn, et al.
出版: (2018)

The artificial neural network modeling of dynamic hysteresis phase-diagram: Application on mean-field ising hysteresis
由: Wimalin Laosiritaworn, et al.
出版: (2018)

The artificial neural network modeling of dynamic hysteresis phase-diagram: Application on mean-field ising hysteresis
由: Wimalin Laosiritaworn, et al.
出版: (2018)

Optimizing Interface Area of Percolated Domains in Two Dimensional Binary Compound: Artificial Neural Network Modeling on Monte Carlo Experiments
由: Laosiritaworn,Y., et al.
出版: (2015)

Optimizing Interface Area of Percolated Domains in Two Dimensional Binary Compound: Artificial Neural Network Modeling on Monte Carlo Experiments
由: Laosiritaworn,Y., et al.
出版: (2015)

Monte Carlo, design of experiment, and neural network modeling of basic reproduction number in disease spreading system
由: Yongjua Laosiritaworn, et al.
出版: (2018)

Concurrent artificial neural network modeling of single-crystal and bulk-ceramics ferroelectric-hysteresis: An application to barium titanate
由: Wimalin Laosiritaworn, et al.
出版: (2018)

Modeling of ordered-disordered transition in two dimensional binary compound: Monte carlo simulation of interface characteristic
由: Yongyut Laosiritaworn
出版: (2018)

Modeling of ordered-disordered transition in two dimensional binary compound: Monte carlo simulation of interface characteristic
由: Yongyut Laosiritaworn
出版: (2018)

Role of reduced geometry on critical spin-crossover behavior in molecular magnet: Monte Carlo simulation
由: Laosiritaworn Y.
出版: (2014)

Artificial-Neural-Network modeling of the compressive uniaxial stress dependence of ferroelectric hysteresis: An application to soft lead zirconate titanate ceramics
由: Wimalin Laosiritaworn, et al.
出版: (2018)

Modeling of the relationship between corporate social responsibility and stock price with artificial neural network
由: Duraya Sukthomya, et al.
出版: (2018)

Artificial Intelligence Techniques for Quality Control of Hard Disk Drive Components
由: Wimalin Laosiritaworn
出版: (2018)

Artificial Intelligence Techniques for Quality Control of Hard Disk Drive Components
由: Wimalin Laosiritaworn
出版: (2018)

Temperature effects in the magnetic properties of two-dimensional Ising square lattices: A Monte Carlo investigation
由: Yongyut Laosiritaworn, et al.
出版: (2018)

Artificial neural networks parameters optimization design of experiments: An application in materials modeling
由: Laosiritaworn W., et al.
出版: (2014)

Artificial neural networks parameters optimization design of experiments: An application in materials modeling
由: Laosiritaworn W., et al.
出版: (2014)

The competition effect of strain and interatomic distance on ferromagnetic critical temperature in ising ultra-thin-film: Monte carlo simulation
由: Yongyut Laosiritaworn, et al.
出版: (2018)

The competition effect of strain and interatomic distance on ferromagnetic critical temperature in ising ultra-thin-film: Monte carlo simulation
由: Yongyut Laosiritaworn, et al.
出版: (2018)

Determining effective electromechanical coupling coefficient of ring-shaped piezoelectric transformer using coupled artificial neural networks
由: Chumpol Supatutkul, et al.
出版: (2018)

The effect of uniaxial stress to spin reorientation transition in magnetic thin-films: Monte Carlo investigation
由: Y. Laosiritaworn, et al.
出版: (2018)

The effect of uniaxial stress to spin reorientation transition in magnetic thin-films: Monte Carlo investigation
由: Y. Laosiritaworn, et al.
出版: (2018)

Artificial neural network modeling of mean-field ising hysteresis
由: Laosiritaworn W., et al.
出版: (2014)

Artificial neural network modeling of mean-field ising hysteresis
由: Laosiritaworn W., et al.
出版: (2014)

Modeling of ordered-disordered transition in two dimensional binary compound: Monte carlo simulation of interface characteristic
由: Laosiritaworn Y.
出版: (2014)

Monte carlo investigation of defect-driven ferroelectric phase-transition in two dimensional defected film
由: S. Srinoi, et al.
出版: (2018)

Monte carlo investigation of defect-driven ferroelectric phase-transition in two dimensional defected film
由: Srinoi S., et al.
出版: (2014)