How AI is transforming the field of polymer design
article
Artificial Intelligence (AI) is revolutionizing polymer design, enabling data-driven material discovery and accelerating innovation. Polymer Informatics, the fusion of data science and polymer science, leverages AI models to predict structure-property-function relationships, facilitating both forward and inverse design of novel polymers. This article aims to guide the Polymer Informatics community through three key obstacles: limited and fragmented data, modeling polymers’ complexity adequately, and the need to address practical viability beyond technical performance. This article further aims to highlight opportunities for overcoming these hurdles. Recent advances such as federated learning, high throughput laboratories, active learning, and hybrid AI models offer promising solutions. Integrating safety, sustainability, and economic factors is essential for safe and sustainable polymer design
Topics
TNO Identifier
1023941
Source
Chimica Oggi Chemistry Today, 43(6), pp. 54-56.
Pages
54-56
Files
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