Materials Genome Initiative and Polymer Degradable stent Configuration Design

Wentao Jiang^1*, Yu Chen¹, Xiaobao Tian¹, Guo Chen³, Liang Wang³, Xuefeng Hu², Rifang Luo²

¹ School of Architecture and Environment, Sichuan University, Chengdu, 610065, China；

² National Engineering Research Center for Biomaterials, Chengdu, 610065, China;

³ Sichuan Xingtai Pule Medical Technology Co., Ltd., Chengdu, 610000, China

ABSTRACT: Materials Genome Initiative (MGI) is an innovative research model that accelerates the research and development of new materials through the deep integration of "Rational Design-Efficient Experiment-Big Data Technology" and the entire process of collaborative innovation, which mainly includes: high-throughput computing, high-throughput experiment and big data technology. High-throughput computing and experiment are more rational and efficient in method design than the traditional "trial and error method". However, In the screening process, the blindness of obtaining material attribute data (gene), the contingency of the research process, and low density of material property data value will inevitably occur. The material big data technology can achieve the efficient search of material relationships through data sharing and machine learning methods, trying to find and establish the relationship between "Composition→Structure→Performance", but the material relationship established in this way is usually correlation, not causation. How to discover the causal logical relationship between the basic properties of materials should be an important consideration in MGI theoretical research. In addition, high-throughput computing or high-throughput experiment is usually the characteristics of the MGI method, there is currently a lack of effective high-throughput computing methods by using finite element methods for stent configuration optimization design. As the stent configuration includes several design parameters, the parameters influence each other or even contradict each other. For example: Increasing the coverage rate can increase the supporting force,but it will lead to difficulty in pressing and holding, and poor compliance. This paper sorted out more than 100 literatures related to vascular stent design in the past ten years, and screened out 15 candidate configurations. Aiming at the design requirements of ideal polymer stent (good radial stent force, toughness, compression performance, flexibility, small shrinkage and compression size), by analyzing the contribution of various factors to the performance of the stent, the three most important design elements are obtained: stent, coverage and elastic retraction. Combining the actual application environment and preparation technology level of the polymer stent, 4 configurations were screened out again, and the optimal configuration was finally obtained through finite element calculation and experimental validation. The main parameters were significantly improved by comparing with the design goals (As shown in Figure 1). This study reminds that the MGI should base on the internal law to discover the causal logic relationship that affects the design requirements. By effectively controlling the key or main influencing factors ("causes"), the precise research and development of the design purpose ("effects") can be achieved, which is expected to eventually obtain a truly efficient material research and development system.

Figure 1. Comparison of measured parameters and design goals of the new stent structure

Keywords: Materials Genome Initiative; Polymer Degradable stent; Configuration design