Recently, Professor Dingding Han, the head of the Laboratory for Ultra-Complex Network Science and Intelligent Systems, published a high-level paper titled “Network structure of thermonuclear reactions in nuclear landscape” in the English version of Science China: Physics, Mechanics & Astronomy as one of the corresponding authors. The paper was featured in the Editor’s Focus section of the current issue, alongside a commentary written by Professor Guilu Long, the associate editor of the journal from Tsinghua University, and Professor Carlos A. Bertulani from Texas A&M University-Corpus Christi.
The Laboratory for Ultra-Complex Network Science and Intelligent Systems focuses on national strategic needs and conducts research on real-time intelligent services for aerospace information, cyber-physical systems (CPS), AIoT (Artificial Intelligence of Things), and the theory and application of ultra-complex network communications. The research leverages artificial intelligence, big data mining, and computer graphics and visualization technologies to explore topics such as the correlation between space network dynamics and network topology, the evolution and modeling of multi-dimensional, multi-layer complex networks, fluctuation dynamics in complex CPS systems, percolation and security performance of ultra-complex networks and distributed systems, search and navigation in distributed systems under time-varying conditions, and the development and application of a physical-logical framework visualization platform for smart cities. The laboratory actively explores interdisciplinary frontier research, and this paper is the result of a decade-long collaboration between Professor Dingding Han and a team of experimental nuclear physicists led by Academician Yugang Ma.
The paper focuses on the topology of nuclear reaction networks. By applying complex network theory to nuclear reactions, it employs a reactant-product network method, combining the REACLIB dataset, with isotopes as nodes and reaction relationships as edges. It connects reactant isotopes to product isotopes, forming a directed, unweighted nuclear reaction network. The network is divided into four layers based on whether the reactants contain neutrons, protons, alpha particles, or others, corresponding to the n-layer, p-layer, h-layer, and r-layer. By studying the topology of each network layer, the paper further defines the concept of nuclear reaction motifs and identifies the reaction patterns that can occur for each isotope in different nuclear reaction network layers.
The paper information is as follows:
HuanLing Liu, DingDing Han, YuGang Ma, and Liang Zhu. Network structure of thermonuclear reactions in nuclear landscape. SCIENCE CHINA Physics, Mechanics & Astronomy, November 2020, Vol. 63, No. 11: 112062.
