Cargando…
Machine Learning Approach to Community Detection in a High-Entropy Alloy Interaction Network
[Image: see text] There is a growing trend toward the use of interaction network methods and algorithms, including community-based detection methods, in various fields of science. The approach is already used in many applications, for example, in social sciences and health informatics to analyze beh...
Autores principales: | Ghouchan Nezhad Noor Nia, Raheleh, Jalali, Mehrdad, Mail, Matthias, Ivanisenko, Yulia, Kübel, Christian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026177/ https://www.ncbi.nlm.nih.gov/pubmed/35474778 http://dx.doi.org/10.1021/acsomega.2c00317 |
Ejemplares similares
-
RecMem: Time Aware Recommender Systems Based on Memetic Evolutionary Clustering Algorithm
por: Nia, Raheleh Ghouchan Nezhad Noor, et al.
Publicado: (2022) -
WEDM Used for Machining High Entropy Alloys
por: Mouralova, Katerina, et al.
Publicado: (2020) -
Design of high bulk moduli high entropy alloys using machine learning
por: Kandavalli, Manjunadh, et al.
Publicado: (2023) -
Machine learning-based prediction of phases in high-entropy alloys: A data article
por: Machaka, Ronald, et al.
Publicado: (2021) -
Phase Prediction of High-Entropy Alloys by Integrating Criterion and Machine Learning Recommendation Method
por: Hou, Shuai, et al.
Publicado: (2022)