Download file (12 MB)
Download as zip (11.4 MB)

Collection

Citation

Description:

We investigated segregant development for FePt high-density magnetic recording media using LLMs and identified new fluoride-based materials. By increasing the temperature of the softmax function to select probable vocabularies, we successfully incorporated the prior knowledge involved in LLM training into the material selection process (exploratory generation) and identified LaF3 as an optimal material. Meanwhile, we independently conducted sputtering deposition of FePt-LaF3 nanogranular samples and verified whether the LLM could reproduce the results. The inhomogeneity in the surface chemical composition of FePt-LaF3 in the non-equilibrium state of sputtering were also reproduced by the LLM, leading to the identification of AlF3 as an alternative segregant. Phenomena that can occur in physical experiments are almost accurately reproduced by LLM, demonstrating the usefulness of LLM predictions in material development.

Rights:

• Creative Commons BY Attribution 4.0 International
  

Keyword: large language model, exploratory generation, FePt nanogranular film, fluoride segregant, LaF3, AlF3

Date published: 2026-12-31

Publisher: Informa UK Limited

Journal:

• Science and Technology of Advanced Materials: Methods (ISSN: 27660400) vol. 6 issue. 1 2613512

Funding:

• Ministry of Education, Culture, Sports, Science and Technology JPMXP1122715503
• Council for Science, Technology and Innovation JPJ012308

Manuscript type: Publisher's version (Version of record)

MDR DOI:

First published URL: https://doi.org/10.1080/27660400.2026.2613512

Related item:

Other identifier(s):

Contact agent:

Updated at: 2026-04-21 13:35:17 +0900

Published on MDR: 2026-04-21 18:26:11 +0900