most citedBenchmarking Large Language Models for Polymer Property Predictions

13 citations · 19 across the 10 of their papers we have counts for

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8 papers · 1 filter

cond-mat.soft2026

A roadmap for polymer informatics super-intelligence

Akhlak Mahmood, Janhavi Nistane, Huan Tran +2

Polymer informatics has matured from isolated property-prediction studies into an integrated discipline that couples data, models, and decision-making across the polymer design cyc…

cond-mat.soft2026

A Synthetically-accessible Universe of Chemically Recyclable Polymers

Anagha Savit, Wei Xiong, Harikrishna Sahu +3

Polymers synthesized via ring-opening polymerization (ROP) of cyclic monomers represent an important class of materials due to their chemical recyclability and possible insertion i…

cond-mat.soft2026

Accelerated design of proton exchange membranes for green hydrogen production with artificial intelligence

Huan Tran, Akhlak Mahmood, Harshal Chaudhari +5

Water electrolysis is an eco-friendly method for hydrogen production that has reached significant levels of technological maturity. Among commercialized water-electrolysis technolo…

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★ 1 cited

AI-Driven Design of poly(ethylene terephthalate)-replacement copolymers

Chiho Kim, Wei Xiong, Akhlak Mahmood +2

Poly(ethylene terephthalate) (PET), a widely used thermoplastic in packaging, textiles, and engineering applications, is valued for its strength, clarity, and chemical resistance.…

cond-mat.soft2025★ 1 cited

AI-Assisted Physics-Informed Predictions of Degradation Behavior of Polymeric Anion Exchange Membranes

William Schertzer, Mohamed Al Otmi, Janani Sampath +2

The global transition to hydrogen-based energy infrastructures faces significant hurdles. Chief among these are the high costs and sustainability issues associated with acid-based…

cond-mat.soft2025★ 1 cited

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…