Research and Design of Intelligent Periodic Table of Elements Based on FBS-Agent

The Periodic Table of Elements (PTE) is a manifestation of the periodic system of elements, containing a large number of physical and chemical laws of elements, which can be used to PTE and guide the design of compounds. However, the existing software systems for PTE generally lack intelligent characteristics and require familiarity with element properties and relationships in order to effectively utilize them. We design Structure-Function-Behavior-based Agent (FBS-Agent) model for chemical element in this article. The intelligent PTE software system was implemented based on FBS-Agent, which can conveniently retrieval the atomic structure, chemical properties, and physical properties of different elements in the periodic system of elements. On the basis of the periodic law of elements, the software system adopts artificial intelligence and chemical big data to achieve the retrieval, comparison, and analysis of different properties of elements and element groups; By utilizing the compound knowledge and rules of known elements, the software system can intelligently recommend and discover potential compound information. The intelligent retrieval and automatic recommendation functions of this system are active attempts of AI4R (Artificial Intelligence for Research) in exploration of chemical mechanisms. The design of the software system has important teaching and guidance significance for learning, mastering, and utilizing the properties of chemical elements, which will further promote the interdisciplinary integration of ChemAI (Chemistry and Artificial Intelligence).