2 papers
cond-mat.mtrl-sci2026
A chemical language model for reticular materials design
Dhruv Menon, Vivek Singh, Xu Chen +7
Reticular chemistry has enabled the synthesis of tens of thousands of metal-organic frameworks (MOFs), yet the discovery of new materials still relies largely on intuition-driven l…
cs.CL2024
Single and Multi-Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-Turbo
Nakul Rampal, Kaiyu Wang, Matthew Burigana +11
The rapid advancement in artificial intelligence and natural language processing has led to the development of large-scale datasets aimed at benchmarking the performance of machine…