The room temperature liquid metal(LM)is recently emerging as a new class of versatile materials with fascinating characteristics mostly originated from its simultaneous metallic and liquid natures.The melting point is...The room temperature liquid metal(LM)is recently emerging as a new class of versatile materials with fascinating characteristics mostly originated from its simultaneous metallic and liquid natures.The melting point is a typical parameter to describe the peculiarity of LM,and a pivotal factor to consider concerning its practical applications such as phase change materials(PCMs)and advanced thermal management.Therefore,the theoretical exploration into the melting point of LM is an essential issue,which can be of special value for the design of new LM materials with desired properties.So far,some available strategies such as molecular dynamics(MD)simulation and classical thermodynamic theory have been applied to perform correlative analysis.This paper is primarily dedicated to performing a comprehensive overview regarding typical theoretical strategies on analyzing the melting points.It,then,presents evaluations on several factors like components,pressure,size and supercooling that may be critical for melting processes of liquid metal.After that,it discusses applications associated with the characteristic of low melting points of LM.It is expected that a great many fundamental and practical works are to be conducted in the coming future.展开更多
IoT security is very crucial to IoT applications,and security situational awareness can assess the overall security status of the IoT.Traditional situational awareness methods only consider the unilateral impact of at...IoT security is very crucial to IoT applications,and security situational awareness can assess the overall security status of the IoT.Traditional situational awareness methods only consider the unilateral impact of attack or defense,but lackconsideration of joint actions by both parties.Applying gametheory to security situational awareness can measure the impact of the opposition and interdependence of the offensive and defensive parties.This paper proposes an IoT security situational awareness method based on Q-Learning and Bayesian game.Through Q-Learning update,the long-term benefits of action strategies in specific states were obtained,and static Bayesian game methods were used to solve the Bayesian Nash Equilibrium of participants of different types.The proposed method comprehensively considers offensive and defensive actions,obtains optimal defense decisions in multi-state and multi-type situations,and evaluates security situation.Experimental results prove the effectiveness of this method.展开更多
基金supported by the National Natural Science Foundation of China under Key Project(Grant No.91748206)Dean’s Research Funding of the Chinese Academy of Sciences,and the Frontier Project of the Chinese Academy of Sciences.
文摘The room temperature liquid metal(LM)is recently emerging as a new class of versatile materials with fascinating characteristics mostly originated from its simultaneous metallic and liquid natures.The melting point is a typical parameter to describe the peculiarity of LM,and a pivotal factor to consider concerning its practical applications such as phase change materials(PCMs)and advanced thermal management.Therefore,the theoretical exploration into the melting point of LM is an essential issue,which can be of special value for the design of new LM materials with desired properties.So far,some available strategies such as molecular dynamics(MD)simulation and classical thermodynamic theory have been applied to perform correlative analysis.This paper is primarily dedicated to performing a comprehensive overview regarding typical theoretical strategies on analyzing the melting points.It,then,presents evaluations on several factors like components,pressure,size and supercooling that may be critical for melting processes of liquid metal.After that,it discusses applications associated with the characteristic of low melting points of LM.It is expected that a great many fundamental and practical works are to be conducted in the coming future.
基金the National Key Research and Development Program of China(No.2017YFB1400700).
文摘IoT security is very crucial to IoT applications,and security situational awareness can assess the overall security status of the IoT.Traditional situational awareness methods only consider the unilateral impact of attack or defense,but lackconsideration of joint actions by both parties.Applying gametheory to security situational awareness can measure the impact of the opposition and interdependence of the offensive and defensive parties.This paper proposes an IoT security situational awareness method based on Q-Learning and Bayesian game.Through Q-Learning update,the long-term benefits of action strategies in specific states were obtained,and static Bayesian game methods were used to solve the Bayesian Nash Equilibrium of participants of different types.The proposed method comprehensively considers offensive and defensive actions,obtains optimal defense decisions in multi-state and multi-type situations,and evaluates security situation.Experimental results prove the effectiveness of this method.
