To precisely and reasonably describe the contribution of interatomic and intermolecular interactions to the physicochemical properties of complex systems,a chemical message passing strategy as driven by graph neural n...To precisely and reasonably describe the contribution of interatomic and intermolecular interactions to the physicochemical properties of complex systems,a chemical message passing strategy as driven by graph neural network is proposed.Thus,by distinguishing inherent and environmental features of atoms,as well as proper delivering of these messages upon growth of systems from atoms to bulk level,the evolution of system features affords eventually the target properties like the adsorption wavelength,emission wavelength,solubility,photoluminescence quantum yield,ionization energy,and lipophilicity.Considering that such a model combines chemical principles and natural behavior of atom aggregation crossing multiple scales,most likely,it will be proven to be rational and efficient for more general aims in dealing with complex systems.展开更多
Recently some efforts were made towards capturing the security requirements within the composable security framework. This modeling has some significant advantages in designing and analyzing complex systems. The thres...Recently some efforts were made towards capturing the security requirements within the composable security framework. This modeling has some significant advantages in designing and analyzing complex systems. The threshold signature was discussed and a definition was given based on the universal composability framework, which is proved to be equivalent to the standard security definition. Furthermore, a simple, efficient and proactive threshold RSA signature protocol was presented. It is proved to be correct, consistent and unforgeable relative to the environment that at most t - 1 parties are corrupted in each proactive stage. It is also secure under the universal composability framework. It is a UC based security and is proved to be equivalent to the standard security.展开更多
基金Generous financial support was provided by the Key Research and Development Program of Zhejiang Province(2023C01102,2023C01208,and 2022C01208).
文摘To precisely and reasonably describe the contribution of interatomic and intermolecular interactions to the physicochemical properties of complex systems,a chemical message passing strategy as driven by graph neural network is proposed.Thus,by distinguishing inherent and environmental features of atoms,as well as proper delivering of these messages upon growth of systems from atoms to bulk level,the evolution of system features affords eventually the target properties like the adsorption wavelength,emission wavelength,solubility,photoluminescence quantum yield,ionization energy,and lipophilicity.Considering that such a model combines chemical principles and natural behavior of atom aggregation crossing multiple scales,most likely,it will be proven to be rational and efficient for more general aims in dealing with complex systems.
基金the National Natural Science Foundation of China (Nos. 60573030, 90704004)the National Basic Research Program (973) of China(No. 2007CB311201)
文摘Recently some efforts were made towards capturing the security requirements within the composable security framework. This modeling has some significant advantages in designing and analyzing complex systems. The threshold signature was discussed and a definition was given based on the universal composability framework, which is proved to be equivalent to the standard security definition. Furthermore, a simple, efficient and proactive threshold RSA signature protocol was presented. It is proved to be correct, consistent and unforgeable relative to the environment that at most t - 1 parties are corrupted in each proactive stage. It is also secure under the universal composability framework. It is a UC based security and is proved to be equivalent to the standard security.
