Generative artificial intelligence and its applications in materials science: Current situation and future perspectives

Generative artificial intelligence and its applications in materials science: Current situation and future perspectives

Generative Artificial Intelligence (GAI) is attracting the increasing attention of materials community for its excellent capability of generating required contents. With the introduction of Prompt paradigm and reinforcement learning from human feedback (RLHF), GAI shifts from the task-specific to ge...

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Bibliographic Details
Main Authors: Yue Liu, Zhengwei Yang, Zhenyao Yu, Zitu Liu, Dahui Liu, Hailong Lin, Mingqing Li, Shuchang Ma, Maxim Avdeev, Siqi Shi
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Journal of Materiomics
Subjects:
Machine learning
Artificial intelligence
Generative artificial intelligence
Materials science
Novel materials discovery
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2352847823000771

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