Yuan Wen-Li, Zhang Lei, Tao Guo-Hong, Wang Shuang-Long, Wang You, Zhu Qiu-Hong, Zhang Guo-Hao, Zhang Zhang, Xue Ying, Qin Song, He Ling, Shreeve Jean'ne M
College of Chemistry, Sichuan University, Chengdu 610064, China.
Department of Chemistry, University of Idaho, Moscow, ID 83844-2343, USA.
Sci Adv. 2020 Dec 4;6(49). doi: 10.1126/sciadv.abb1899. Print 2020 Dec.
A new generation of rocket propellants for deep space exploration, ionic liquid propellants, with long endurance and high stability, is attracting more and more attention. However, a major defect of ionic liquid propellants that restricts their application is the inadequate hypergolic reactivity between the fuel and the oxidant, and this defect results in local burnout and accidental explosions during the launch process. We propose a visualization model to show the features of structure, density, thermal stability, and hypergolic activity for estimating propellant performances and their application abilities. This propellant materials genome and visualization model greatly improves the efficiency and quality of developing high-performance propellants, which benefits the discovery of new advanced functional molecules in the field of energetic materials.
新一代用于深空探测的火箭推进剂——离子液体推进剂，具有长续航和高稳定性，正受到越来越多的关注。然而，限制其应用的一个主要缺陷是燃料与氧化剂之间的自燃反应性不足，这种缺陷会导致在发射过程中出现局部烧毁和意外爆炸。我们提出了一个可视化模型，以展示结构、密度、热稳定性和自燃活性的特征，用于评估推进剂性能及其应用能力。这种推进剂材料基因组和可视化模型极大地提高了开发高性能推进剂的效率和质量，这有利于在含能材料领域发现新的先进功能分子。
