4 citations · 5 across the 3 of their papers we have counts for
4 papers
RegExtract: A Benchmark for PFAS Regulatory Information Extraction with LLMs
Defne Circi, Krystelle Lionti, Sarathkrishna Swaminathan +8
Extracting structured information from regulatory documents is a critical but challenging task. Relevant facts are scattered across long, legally dense texts, and traceability of e…
Understanding Structural Representation in Foundation Models for Polymers
Nathaniel H. Park, Eduardo Soares, Victor Y. Shirasuna +3
From the relative scarcity of training data to the lack of standardized benchmarks, the creation of effective foundation models for polymers faces significant and multi-faceted cha…
Agentic Mixture-of-Workflows for Multi-Modal Chemical Search
Tiffany J. Callahan, Nathaniel H. Park, Sara Capponi
The vast and complex materials design space demands innovative strategies to integrate multidisciplinary scientific knowledge and optimize materials discovery. While large language…
Leveraging Chemistry Foundation Models to Facilitate Structure Focused Retrieval Augmented Generation in Multi-Agent Workflows for Catalyst and Materials Design
Nathaniel H. Park, Tiffany J. Callahan, James L. Hedrick +2
Molecular property prediction and generative design via deep learning models has been the subject of intense research given its potential to accelerate development of new, high-per…