Large Language Model-Informed X-ray Photoelectron Spectroscopy Data Analysis
J. de Curtò,
I. de Zarzà,
Gemma Roig
et al.
Abstract:X-ray photoelectron spectroscopy (XPS) remains a fundamental technique in materials science, offering invaluable insights into the chemical states and electronic structure of a material. However, the interpretation of XPS spectra can be complex, requiring deep expertise and often sophisticated curve-fitting methods. In this study, we present a novel approach to the analysis of XPS data, integrating the utilization of large language models (LLMs), specifically OpenAI’s GPT-3.5/4 Turbo to provide insightful guid… Show more
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