人工智能支持先进材料的智能设计和制造:人工智能+时代的无尽前沿

William Yi Wang, Suyang Zhang, Gaonan Li, Jiaqi Lu, Yong Ren, Xinchao Wang, Xingyu Gao, Yanjing Su, Haifeng Song, Jinshan Li
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引用次数: 0

摘要

面向未来的科学与技术(S&T)战略引发了先进材料的创新发展,为未来几十年前沿科学、工程和技术的长足进步提供了憧憬。在《中国制造 2025》和《2035 年新材料强国战略》的推动下,从人工智能促进科学和大数据、数据库、标准和生态系统等主要方面,讨论了加速先进材料发现和智能制造的自动化研究工作流程的几个关键观点。通过比较不同时空尺度的经典工具包、基于人工智能的工具包和人工智能驱动的材料设计计算,突出了人工智能代理范例的主导作用。简要介绍了我们最近开发的 ProME 平台及其功能。介绍了人工智能代理辅助焊接的案例研究,其中包括大型语言模型、通过人工智能代理自动编码、图像处理、图像镶嵌和机器学习进行焊接缺陷检测。最后,教育下一代具有创造性思维和技能的劳动力需要承担更多的责任。相信知识赋能数据驱动的集成计算材料工程时代向人工智能+时代的转变,将推动智能设计与制造范式从 "设计材料 "向 "用材料设计 "转变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Artificial intelligence enabled smart design and manufacturing of advanced materials: The endless Frontier in AI+ era

Artificial intelligence enabled smart design and manufacturing of advanced materials: The endless Frontier in AI+ era

Future-oriented Science & Technology (S&T) Strategies trigger the innovative developments of advanced materials, providing an envision to the significant progress of leading-/cutting-edge science, engineering, and technologies for the next few decades. Motivated by Made in China 2025 and New Material Power Strategy by 2035, several key viewpoints about automated research workflows for accelerated discovery and smart manufacturing of advanced materials in terms of AI for Science and main respective of big data, database, standards, and ecosystems are discussed. Referring to classical toolkits at various spatial and temporal scales, AI-based toolkits and AI-enabled computations for material design are compared, highlighting the dominant role of the AI agent paradigm. Our recent developed ProME platform together with its functions is introduced briefly. A case study of AI agent assistant welding is presented, which is consisted of the large language model, auto-coding via AI agent, image processing, image mosaic, and machine learning for welding defect detection. Finally, more duties are called to educate the next generation workforce with creative minds and skills. It is believed that the transformation of knowledge-enabled data-driven integrated computational material engineering era to AI+ era promotes the transformation of smart design and manufacturing paradigm from “designing the materials” to “designing with materials.”

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