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MatGPT:从过去,现在,到未来的材料信息学
Zhilong Wang1,2, An Chen1,2, Kehao Tao1,2
1National Key Laboratory of Science and Technology on Micro/Nano Fabrication, Shanghai Jiao Tong University, Shanghai, 200240, China.
Advanced materials (Deerfield Beach, Fla.)
|October 9, 2023
概括
材料信息学正在利用人工智能加速新材料的开发. 这项研究提出了"MatGPT"用于数据驱动的材料发现和设计,概述了新一代智能材料科学的道路.
科学领域:
- 材料科学 材料科学 材料科学
- 人工智能 (AI) 是一种人工智能.
- 物理化学 物理化学
- 材料 信息学 信息学
背景情况:
- 材料信息学,整合各种科学学科,对于快速的新材料开发至关重要.
- 生成预训练变压器 (GPT) AI的出现意味着科学研究向以数据为中心,算法驱动的生产力转变.
- 人工智能的持续创新对科学认知,方法和知识系统产生了深刻的影响,需要对材料信息学进行重新评估.
研究的目的:
- 在材料信息学背景下全面讨论人工智能模型和材料基础设施.
- 审查人工智能驱动的新材料发现和设计方面的进展.
- 提出"MatGPT"作为未来材料信息学的领先概念,并概述其技术发展路径.
主要方法:
- 审查和讨论当前的人工智能模型和材料基础设施.
- 分析人工智能对科学研究范式的影响,特别是"科学人工智能".
- 关于"MatGPT"技术路线图的建议,涵盖数据,描述符,生成和预训练模型,设计,培训和实验机器人.
主要成果:
- 在材料信息学中对人工智能应用的全面概述.
- 确定开发下一代材料信息系统的关键组件和策略.
- 提出"MatGPT"作为推进人工智能驱动材料发现和设计的框架.
结论:
- 人工智能正在彻底改变材料信息学,使新材料的发现和设计更有效.
- 拟议的"MatGPT"框架为开发数字化,智能化和自动化材料信息化生态系统提供了战略方向.
- 解决当前的挑战和限制对于实现材料信息学跨学科合作的全部潜力至关重要.
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