Machine learning-based prediction of FeNi nanoparticle magnetization

被引:0
|
作者
Williamson, Federico [1 ]
Naciff, Nadhir [2 ]
Catania, Carlos [1 ,3 ]
Santos, Gonzalo dos [2 ,3 ]
Amigo, Nicolás [4 ]
M. Bringa, Eduardo [1 ,2 ,3 ,5 ]
机构
[1] Facultad de Ingeniería, Universidad Nacional de Cuyo, Argentina
[2] Facultad de Ingeniería, Universidad de Mendoza, Mendoza,5500, Argentina
[3] CONICET, Mendoza,5500, Argentina
[4] Departamento de Física, Facultad de Ciencias Naturales, Matemática y del Medio Ambiente, Universidad Tecnológica Metropolitana, Las Palmeras 3360, Ñuñoa, Santiago,7800003, Chile
[5] Centro de Nanotecnolog'ıa Aplicada, Universidad Mayor, Santiago, Chile
关键词
Atomistic spin dynamic - Atomistics - Average magnetic moments - Body-centred cubic - Computationally efficient - Dynamics simulation - Fe-ni nanoparticles - Machine learning algorithms - Machine-learning - Random forests;
D O I
暂无
中图分类号
学科分类号
摘要
105
引用
收藏
页码:5263 / 5276
相关论文
共 50 条
  • [21] Machine Learning-Based Prediction of Antiferromagnetic Skyrmion Formation
    Saini, Shipra
    Shukla, Alok Kumar
    Nehete, Hemkant
    Bindal, Namita
    Kaushik, Brajesh Kumar
    IEEE TRANSACTIONS ON ELECTRON DEVICES, 2024, 71 (04) : 2774 - 2780
  • [22] Machine learning-based prediction models for postpartum hemorrhage
    Venkatesh, Kartik K.
    Strauss, Robert
    Grotegut, Chad
    Heine, Phillips
    Stamilio, David M.
    Menard, Kathryn
    Jelovsek, Eric
    AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2020, 222 (01) : S175 - S176
  • [23] Machine Learning-Based Prediction of the Martensite Start Temperature
    Wentzien, Marcel
    Koch, Marcel
    Friedrich, Thomas
    Ingber, Jerome
    Kempka, Henning
    Schmalzried, Dirk
    Kunert, Maik
    STEEL RESEARCH INTERNATIONAL, 2024, 95 (10)
  • [24] Machine Learning-based RSSI Prediction in Factory Environments
    Webber, Julian
    Suga, Norisato
    Ano, Susumu
    Jou, Yafei
    Mehbodniya, Abolfazl
    Higashimori, Toshihide
    Yano, Kazuto
    Suzuki, Yoshinori
    PROCEEDINGS OF 2019 25TH ASIA-PACIFIC CONFERENCE ON COMMUNICATIONS (APCC), 2019, : 195 - 200
  • [25] Machine learning-based approaches for disease gene prediction
    Duc-Hau Le
    BRIEFINGS IN FUNCTIONAL GENOMICS, 2020, 19 (5-6) : 350 - 363
  • [26] Machine learning-based seawater concentration pathway prediction
    Hu, Fang
    Xu, Xingyong
    Liang, Jun
    Yang, Changguo
    Huang, Mingfang
    Su, Qiao
    COMPUTERS & ELECTRICAL ENGINEERING, 2021, 94
  • [27] Machine Learning-based Seismic Prediction of Building Structures
    Liu, Shuai
    Peng, Hailiang
    Deng, Xiaolu
    PROCEEDINGS OF 2024 INTERNATIONAL CONFERENCE ON MACHINE INTELLIGENCE AND DIGITAL APPLICATIONS, MIDA2024, 2024, : 256 - 261
  • [28] A Machine Learning-based Approach for The Prediction of Electricity Consumption
    Dinh Hoa Nguyen
    Anh Tung Nguyen
    2019 12TH ASIAN CONTROL CONFERENCE (ASCC), 2019, : 1301 - 1306
  • [29] Machine Learning-Based Prediction of Stroke in Emergency Departments
    Abedi, Vida
    Misra, Debdipto
    Chaudhary, Durgesh
    Avula, Venkatesh
    Schirmer, Clemens M.
    Li, Jiang
    Zand, Ramin
    THERAPEUTIC ADVANCES IN NEUROLOGICAL DISORDERS, 2024, 17
  • [30] Machine Learning-based Prediction for Dynamic Architectural Optimizations
    Vazquez, Ruben
    Gordon-Ross, Ann
    Stitt, Greg
    2019 TENTH INTERNATIONAL GREEN AND SUSTAINABLE COMPUTING CONFERENCE (IGSC), 2019,