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- W4387443463 abstract "Combining materials science, artificial intelligence (AI), physical chemistry and other disciplines, materials informatics is continuously accelerating the vigorous development of new materials. The emergence of GPT AI shows that the scientific research field has entered the era of intelligent civilization with data as the basic factor and algorithm + computing power as the core productivity. The continuous innovation of AI will impact the cognitive laws and scientific methods, and reconstruct the knowledge and wisdom system. This leads us to think more about materials informatics, both in terms of opportunities and challenges. In this review, we provide a comprehensive discussion of AI models, materials infrastructures, and review the current advances in the discovery and design of new materials. With the rise of new research paradigms triggered by AI for Science, we propose the vane of materials informatics: MatGPT, and carry out the technical path planning from the aspects of data, descriptors, generative models, pre-training models, directed design models, collaborative training, experimental robots, as well as the efforts and preparations needed to develop a new generation of materials informatics. Finally, we discuss the challenges and constraints faced by materials informatics, in order to achieve a more digital, intelligent and automated construction of materials informatics with the joint efforts of more interdisciplinary scientists. This article is protected by copyright. All rights reserved." @default.
- W4387443463 created "2023-10-10" @default.
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- W4387443463 date "2023-10-09" @default.
- W4387443463 modified "2023-10-17" @default.
- W4387443463 title "MatGPT: A Vane of Materials Informatics from Past, Present, to Future" @default.
- W4387443463 doi "https://doi.org/10.1002/adma.202306733" @default.
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