Large-language models (LLMs) such as GPT-4 caught the interest of many scientists. Recent
studies suggested that these models could be useful in chemistry and materials science. …

Advances in materials science require leveraging past findings and data from the vast
published literature. While some materials data repositories are being built, they typically rely on …

COVID-19 has effectively spread worldwide. As of May 2020, Turkey is among the top ten
countries with the most cases. A comprehensive genomic characterization of the virus isolates …

Understanding SARS-CoV-2 evolution is a fundamental effort in coping with the COVID-19
pandemic. The virus genomes have been broadly evolving due to the high number of …

This paper investigates the use of large language models (LLMs) for extracting sample lists
of polymer nanocomposites (PNCs) from full-length materials science research papers. The …

Large language models (LLMs) have demonstrated significant progress in various natural
language generation and understanding tasks. However, their linguistic generalization …

Materials science researchers spend significant time sifting through articles to identify relevant
methods and properties that could aid their own research. We can model this challenge …

Here, we present the outcomes from the second Large Language Model (LLM) Hackathon
for Applications in Materials Science and Chemistry, which engaged participants across …

Automated materials synthesis requires historical data, but extracting detailed data and
metadata from publications is challenging. We developed initial strategies for using large …

Advances in materials science depend on leveraging data from the vast published literature.
Extracting detailed data and metadata from these publications is challenging, leading …