SUMMARY
The discussion centers on finding resources for self-study in computational materials science, particularly before taking a formal course on computational methods in materials science. A key recommendation is the journal Computational Materials Science, which is accessible through university or internship affiliations. Participants suggest reaching out to professors for additional study materials and guidance, emphasizing the importance of leveraging academic connections for effective learning.
PREREQUISITES
- Basic understanding of computational materials science concepts
- Familiarity with C programming
- Proficiency in Python programming
- Access to academic journals, specifically Computational Materials Science
NEXT STEPS
- Research the journal Computational Materials Science for relevant articles
- Contact professors in the materials science department for recommended study materials
- Explore online courses or MOOCs focused on computational methods in materials science
- Join forums or study groups related to computational materials science for peer support
USEFUL FOR
Undergraduate students, interns in materials science, and anyone seeking to enhance their knowledge in computational methods within materials science.