3 papers
cond-mat.soft2025
polyRETRO: a Language Model Approach to predict Polymerization Class and Monomer(s) for a Target Polymer
Sakshi Agarwal, Wei Xiong, Rampi Ramprasad
While machine learning has transformed polymer design by enabling rapid property prediction and candidate generation, translating these designs into experimentally realizable mater…
cond-mat.soft2025
AI-assisted design of chemically recyclable polymers for food packaging
Brandon K. Phan, Chiho Kim, Janhavi Nistane +9
Polymer packaging plays a crucial role in food preservation but poses major challenges in recycling and environmental persistence. To address the need for sustainable, high-perform…
cond-mat.soft2025
polyBART: A Chemical Linguist for Polymer Property Prediction and Generative Design
Anagha Savit, Harikrishna Sahu, Shivank Shukla +2
Designing polymers for targeted applications and accurately predicting their properties is a key challenge in materials science owing to the vast and complex polymer chemical space…