A framework for materials informatics education through workshops-Reference-Cited by-同舟云学术

A framework for materials informatics education through workshops

Published:2023-05 Issue:5 Volume:48 Page:560-569
ISSN:0883-7694
Container-title:MRS Bulletin
language:en
Short-container-title:MRS Bulletin

Author:

Mannodi-Kanakkithodi Arun^ORCID,McDannald Austin^ORCID,Sun Shijing,Desai Saaketh,Brown Keith A.^ORCID,Kusne A. Gilad^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Physical and Theoretical Chemistry,Condensed Matter Physics,General Materials Science

Link

https://link.springer.com/content/pdf/10.1557/s43577-023-00531-6.pdf

Reference34 articles.

1. J. Schmidt, M.R.G. Marques, S. Botti, M.A.L. Marques, NPJ Comput. Mater. 5(1), 83 (2019)

2. F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, E. Duchesnay, J. Mach. Learn. Res. 12, 2825 (2011)

3. K. Madhavan, L. Zentner, V. Farnsworth, S. Shivarajapura, M. Zentner, N. Denny, G. Klimeck, Nanotechnol. Rev. 2(1), 107 (2013)

4. D. Mejia, Jupyter Examples - Jupyter Notebook (202105) (2023). https://nanohub.org/resources/jupyterguide70

5. F. van der Plas, Interactive Julia Programming Environment (2023). https://github.com/fonsp/Pluto.jl

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Platform for Integrating Internet of Things, Machine Learning, and Big Data Practicum in Electrical Engineering Curricula;Computers;2024-08-15

2. A guide to discovering next-generation semiconductor materials using atomistic simulations and machine learning;Computational Materials Science;2024-07

3. Tutorials at APL Machine Learning: To share, to envision, and to help others learn;APL Machine Learning;2023-09-01