Yesterday, two undergraduate students successfully presented their graduation research projects.
The presentation topics were as follows:
- “Design and Characterization of LaCo₁₋ₓYₓO₃ Using Machine Learning”
- “Effect of Thallium Substitution on the Room-Temperature Ferromagnetic Properties of In₁.₉₋ₓTlₓCo₀.₁O₃”
Both students delivered well-structured presentations and confidently handled the Q&A session.
At the beginning of this academic year, we never imagined that machine learning could play such a significant role in our research. However, both projects successfully leveraged machine learning to gain valuable insights into experimental results and material properties.
Not only did this approach enhance our understanding, but it also provided crucial knowledge for designing better materials.
I truly appreciate the dedication and hard work of both students, who embraced the challenge and made remarkable progress.
Moving forward, we aim to further develop these studies and submit our findings for academic publication.
