Community Resource for Innovation in Polymer Technology (CRIPT): A Scalable Polymer Material Data Structure

作者：Dylan J. Walsh, Weizhong Zou, Ludwig Schneider, Reid Mello, Michael E. Deagen, Joshua A. Mysona, Tzyy‐Shyang Lin, Juan Pablo, Klavs F. Jensen, Debra J. Audus, Bradley D. Olsen · 发表于：ACS Central Science · 年份：2023 · DOI：10.1021/acscentsci.3c00011 · 被引用次数：70 · 研究领域：Innovative Microfluidic and Catalytic Techniques Innovation、Machine Learning in Materials Science、Modular Robots and Swarm Intelligence

Polymeric materials are integral components of nearly every aspect of modern life. However, developing cheminformatic solutions for polymers has been difficult since they are large stochastic molecules with hierarchical structures spanning multiple length scales. Here we present the design for a general material data model that underpins the Community Resource for Innovation in Polymer Technology (CRIPT) data ecosystem.