Jason Hattrick-Simpers

New datasets and machine learning techniques enhance understanding of high-entropy materials.

Insights on the challenges of machine learning in predicting material properties.

Researchers use machine learning to identify materials for high-temperature superconductivity.

This study assesses LLM performance in answering questions and predicting material properties.

A new dataset evaluates large language models for predicting material properties.

A new project aims to improve catalyst discovery for clean energy production.