Cargando…
Understanding the Magnetic Microstructure through Experiments and Machine Learning Algorithms
[Image: see text] Advanced machine learning techniques have unfurled their applications in various interdisciplinary areas of research and development. This paper highlights the use of image regression algorithms based on advanced neural networks to understand the magnetic properties directly from t...
Autores principales: | Talapatra, Abhishek, Gajera, Udaykumar, P, Syam Prasad, Arout Chelvane, Jeyaramane, Mohanty, Jyoti Ranjan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9650662/ https://www.ncbi.nlm.nih.gov/pubmed/36269322 http://dx.doi.org/10.1021/acsami.2c12848 |
Ejemplares similares
-
Remote control of magnetostriction-based nanocontacts at room temperature
por: Jammalamadaka, S. Narayana, et al.
Publicado: (2015) -
Machine Learning Algorithms for understanding the determinants of under-five Mortality
por: Saroj, Rakesh Kumar, et al.
Publicado: (2022) -
A predictive machine learning approach for microstructure optimization and materials design
por: Liu, Ruoqian, et al.
Publicado: (2015) -
Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials
por: Chun, Sehyun, et al.
Publicado: (2020) -
Synthesizing controlled microstructures of porous media using generative adversarial networks and reinforcement learning
por: Nguyen, Phong C. H., et al.
Publicado: (2022)