人工智能在材料工程中的应用：人工智能在材料工程中的应用综述,Advanced Engineering Materials

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人工智能在材料工程中的应用：人工智能在材料工程中的应用综述
Advanced Engineering Materials ( IF 3.4 ) Pub Date : 2023-04-11 , DOI: 10.1002/adem.202300104
Lipichanda Goswami ₁ , Manoj kumar Deka ₁ , Mohendra Roy ₂

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随着人工智能技术的进步，人工智能（AI）在材料科学与工程（MSE）中的作用变得越来越重要。高性能计算的发展使得测试具有重要参数的深度学习（DL）模型成为可能，为克服密度泛函理论（DFT）等传统计算方法在性能预测方面的局限性提供了机会。基于机器学习 (ML) 的方法比基于 DFT 的方法更快、更准确。此外，生成对抗网络（GAN）在不使用晶体结构信息的情况下促进了无机材料化学成分的生成。这些发展对材料工程 (ME) 和研究产生了重大影响。本文回顾了 ME 中人工智能的一些最新进展。第一的，讨论了人工智能在ME关键领域的发展，例如材料加工、结构和材料性能的研究以及材料各方面性能的测量。然后，讨论了人工智能的重要方法及其在 MSE 中的应用，例如图神经网络、生成模型、学习迁移等。还讨论了使用人工智能来分析现有分析仪器的结果。最后，讨论了人工智能在 ME 中的优点、缺点和未来。等进行讨论。还讨论了使用人工智能来分析现有分析仪器的结果。最后，讨论了人工智能在 ME 中的优点、缺点和未来。等进行讨论。还讨论了使用人工智能来分析现有分析仪器的结果。最后，讨论了人工智能在 ME 中的优点、缺点和未来。

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Artificial Intelligence in Material Engineering: A Review on Applications of Artificial Intelligence in Material Engineering

The role of artificial intelligence (AI) in material science and engineering (MSE) is becoming increasingly important as AI technology advances. The development of high-performance computing has made it possible to test deep learning (DL) models with significant parameters, providing an opportunity to overcome the limitation of traditional computational methods, such as density functional theory (DFT), in property prediction. Machine learning (ML)-based methods are faster and more accurate than DFT-based methods. Furthermore, the generative adversarial networks (GANs) have facilitated the generation of chemical compositions of inorganic materials without using crystal structure information. These developments have significantly impacted material engineering (ME) and research. Some of the latest developments in AI in ME herein are reviewed. First, the development of AI in the critical areas of ME, such as in material processing, the study of structure and material property, and measuring the performance of materials in various aspects, is discussed. Then, the significant methods of AI and their uses in MSE, such as graph neural network, generative models, transfer of learning, etc. are discussed. The use of AI to analyze the results from existing analytical instruments is also discussed. Finally, AI's advantages, disadvantages, and future in ME are discussed.

更新日期：2023-04-11

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