ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN MATERIALS SCIENCE

被引：0
|
作者：
Stuckner, Joshua [1 ]
Taheri-Mousavi, S. Mohadeseh [2 ]
Saal, James E. [3 ]
机构：
[1] Departments of Materials Science and Engineering and Mechanical Engineering Carnegie Mellon University, Pittsburgh
[2] Citrine Informatics, Redwood City, CA
来源：
Advanced Materials and Processes | 2024年 / 182卷 / 04期
关键词：
additive manufacturing; artificial intelligence; automation; data-driven models; machine learning; materials design;
D O I：
10.31399/asm.amp.2024-04.p014
中图分类号：
学科分类号：
摘要：
This article provides a brief overview of the many ways that artificial intelligence and machine learning are being used for materials and manufacturing research. Several case studies show how the discovery, development, and deployment of novel materials are being dramatically accelerated through automation and data-driven models. © 2024, ASM International. All rights reserved.
引用
收藏
页码：14 / 20
页数：6
相关论文
共 50 条
  • [21] Machine learning, artificial intelligence, and data science breaking into drug design and neglected diseases
    Pena-Guerrero, Jose
    Nguewa, Paul A.
    Garcia-Sosa, Alfonso T.
    WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL MOLECULAR SCIENCE, 2021, 11 (05)
  • [22] The Evolution of Artificial Intelligence in Medical Imaging: From Computer Science to Machine and Deep Learning
    Avanzo, Michele
    Stancanello, Joseph
    Pirrone, Giovanni
    Drigo, Annalisa
    Retico, Alessandra
    CANCERS, 2024, 16 (21)
  • [23] Applications of artificial intelligence and machine learning in orthodontics
    Asiri, Saeed N.
    Tadlock, Larry P.
    Schneiderman, Emet
    Buschang, Peter H.
    APOS TRENDS IN ORTHODONTICS, 2020, 10 (01) : 17 - 24
  • [24] Role of Artificial Intelligence and Machine Learning in Nanosafety
    Winkler, David A.
    SMALL, 2020, 16 (36)
  • [25] Artificial Intelligence and Machine Learning in Cardiac Electrophysiology
    John, Mathews M.
    Banta, Anton
    Post, Allison
    Buchan, Skylar
    Aazhang, Behnaam
    Razavi, Mehdi
    TEXAS HEART INSTITUTE JOURNAL, 2022, 49 (02)
  • [26] Artificial Intelligence and Machine Learning in Emergency Medicine
    Tang, Kenneth Jian Wei
    Ang, Candice Ke En
    Constantinides, Theodoros
    Rajinikanth, V
    Acharya, U. Rajendra
    Cheong, Kang Hao
    BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, 2021, 41 (01) : 156 - 172
  • [27] Artificial intelligence and machine learning for clinical pharmacology
    Ryan, David K.
    Maclean, Rory H.
    Balston, Alfred
    Scourfield, Andrew
    Shah, Anoop D.
    Ross, Jack
    BRITISH JOURNAL OF CLINICAL PHARMACOLOGY, 2024, 90 (03) : 629 - 639
  • [28] Machine learning and artificial intelligence in research and healthcare
    Rubinger, Luc
    Gazendam, Aaron
    Ekhtiari, Seper
    Bhandari, Mohit
    INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED, 2023, 54 : S69 - S73
  • [29] Machine learning, artificial intelligence and the prediction of dementia
    Merkin, Alexander
    Krishnamurthi, Rita
    Medvedev, Oleg N.
    CURRENT OPINION IN PSYCHIATRY, 2022, 35 (02) : 123 - 129
  • [30] Machine Learning: A Way of Dealing with Artificial Intelligence
    Dhumale, R. B.
    Thombare, N. D.
    Bangare, P. M.
    PROCEEDINGS OF 2019 1ST INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION AND COMMUNICATION TECHNOLOGY (ICIICT 2019), 2019,
12345