Green Valley High School, Class of 2028
Email: cadekonishi@gmail.com
Cade supports STEM research direction, project planning, and collaboration between student researchers.
-Athlete on the Green Valley Varsity Baseball Team
-Research intern at Thinkneuro
-AI Researcher at Algoverse
-Co-Founder and Co-President of the Green Valley Computational thinking and AI Club
-Treasurer of the Green Valley High School National Honor Society
-Member of the Fellowship of Christian Athletes
-Member of the Green Valley Physics Club
-Member of Science Bowl
Manages and approves STEM-focused research submissions.
- Collaborative Review: Partners with executive leadership to evaluate candidates for the Research Project of the Month.
- Specialized Output: Produces at least two published works monthly, with at least one dedicated to STEM research.
Abstract: Materials informatics is the application of artificial intelligence, data science, and machine learning to materials science. In contrast to traditional materials discovery, which relies on trial-and-error, materials informatics uses existing datasets of material properties to predict the behavior of new materials before they are synthesized. By applying AI to materials science, materials discovery becomes much faster and more efficient. Materials informatics is used in a large number of industries, and applications include but are not limited to battery material discovery, polymer design, and semiconductors design. Though materials informatics is largely beneficial for materials discovery, small datasets, model interpretability, and conflicting real-world requirements remain challenges in the field. Overall, materials informatics is a powerful tool for accelerating materials discovery and development.