375 citations · 792 across the 5 of their papers we have counts for
5 papers
Extracting Structured Seed-Mediated Gold Nanorod Growth Procedures from Literature with GPT-3
Nicholas Walker, John Dagdelen, Kevin Cruse +7
Although gold nanorods have been the subject of much research, the pathways for controlling their shape and thereby their optical properties remain largely heuristically understood…
Structured information extraction from complex scientific text with fine-tuned large language models
Alexander Dunn, John Dagdelen, Nicholas Walker +5
Intelligently extracting and linking complex scientific information from unstructured text is a challenging endeavor particularly for those inexperienced with natural language proc…
Machine-learning rationalization and prediction of solid-state synthesis conditions
Haoyan Huo, Christopher J. Bartel, Tanjin He +5
There currently exist no quantitative methods to determine the appropriate conditions for solid-state synthesis. This not only hinders the experimental realization of novel materia…
Benchmarking Materials Property Prediction Methods: The Matbench Test Set and Automatminer Reference Algorithm
Alexander Dunn, Qi Wang, Alex Ganose +2
We present a benchmark test suite and an automated machine learning procedure for evaluating supervised machine learning (ML) models for predicting properties of inorganic bulk mat…
A critical examination of compound stability predictions from machine-learned formation energies
Christopher J. Bartel, Amalie Trewartha, Qi Wang +3
Machine learning has emerged as a novel tool for the efficient prediction of materials properties, and claims have been made that machine-learned models for the formation energy of…