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

来源：

Journal of Materials Research and Technology | / 33卷

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

页码：5263 / 5276

共 50 条

[1] Machine learning-based prediction of FeNi nanoparticle magnetization
Williamson, Federico
Naciff, Nadhir
Catania, Carlos
dos Santos, Gonzalo
Amigo, Nicolas
Bringa, Eduardo M.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2024, 33 : 5263 - 5276
[2] Machine learning-based prediction of transfusion
Mitterecker, Andreas
Hofmann, Axel
Trentino, Kevin M.
Lloyd, Adam
Leahy, Michael F.
Schwarzbauer, Karin
Tschoellitsch, Thomas
Boeck, Carl
Hochreiter, Sepp
Meier, Jens
TRANSFUSION, 2020, 60 (09) : 1977 - 1986
[3] Machine Learning-based BGP Traffic Prediction
Farasat, Talaya
Rathore, Muhammad Ahmad
Khan, Akmal
Kim, JongWon
Posegga, Joachim
2023 IEEE 22ND INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS, TRUSTCOM, BIGDATASE, CSE, EUC, ISCI 2023, 2024, : 1925 - 1934
[4] Machine learning-based prediction models in neurosurgery
Habashy, Karl J.
Arrieta, Victor A.
Feghali, James
NEUROSURGICAL FOCUS, 2023, 55 (03)
[5] Machine Learning-based Prediction of Test Power
Dhotre, Harshad
Eggersgluess, Stephan
Chakrabarty, Krishnendu
Drechsler, Rolf
2019 IEEE EUROPEAN TEST SYMPOSIUM (ETS), 2019,
[6] Machine Learning-based Water Potability Prediction
Alnaqeb, Reem
Alrashdi, Fatema
Alketbi, Khuloud
Ismail, Heba
2022 IEEE/ACS 19TH INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2022,
[7] Machine Learning-Based Prediction of Air Quality
Liang, Yun-Chia
Maimury, Yona
Chen, Angela Hsiang-Ling
Juarez, Josue Rodolfo Cuevas
APPLIED SCIENCES-BASEL, 2020, 10 (24): : 1 - 17
[8] Practical Machine Learning-Based Sepsis Prediction
Pettinati, Michael J.
Chen, Gengbo
Rajput, Kuldeep Singh
Selvaraj, Nandakumar
42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, 2020, : 4986 - 4991
[9] A MACHINE LEARNING-BASED TOURIST PATH PREDICTION
Zheng, Siwen
Liu, Yu
Ouyang, Zhenchao
PROCEEDINGS OF 2016 4TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS (IEEE CCIS 2016), 2016, : 38 - 42
[10] Machine Learning and Deep Learning-Based Students’ Grade Prediction
Korchi A.
Messaoudi F.
Abatal A.
Manzali Y.
Operations Research Forum, 4 (4)

← 1 2 3 4 5 →