PDGPT: A large language model for acquiring phase diagram information in magnesium alloys

PDGPT: A large language model for acquiring phase diagram information in magnesium alloys

Abstract Magnesium alloys, known for their lightweight advantages, are increasingly in demand across a range of applications, from aerospace to the automotive industry. With rising requirements for strength and corrosion resistance, the development of new magnesium alloy systems has become critical....

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Bibliographic Details
Main Authors:	Zini Yan, Hongyu Liang, Jingya Wang, Hongbin Zhang, Alisson Kwiatkowski da Silva, Shiyu Liang, Ziyuan Rao, Xiaoqin Zeng
Format:	Article
Language:	English
Published:	Wiley-VCH 2024-12-01
Series:	Materials Genome Engineering Advances
Subjects:	large language model phase diagram prediction prompt‐engineering retrieval‐augmented generation supervised fine‐tuning
Online Access:	https://doi.org/10.1002/mgea.77
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