Bulletin of the American Physical Society
2023 APS March Meeting
Volume 68, Number 3
Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time
Session F27: Superconductivity:Mostly_Kagome
8:00 AM–10:48 AM,
Tuesday, March 7, 2023
Room: Room 219
Sponsoring
Unit:
DCMP
Chair: Gediminas Simutis, Paul Scherrer Institute
Abstract: F27.00010 : Using artificial intelligence techniques to aid the search for new superconducting materials
9:48 AM–10:00 AM
Presenter:
Evan E Kim
(Tesla STEM High School, Redmond, WA)
Authors:
Evan E Kim
(Tesla STEM High School, Redmond, WA)
Benjamin Roter
(Applied Physics, Northwestern University)
Nemanja Ninkovic
(The University of Akron)
the serendipity of material scientists to synthesize a new
material with superconducting proprieties. This is a very
slow and inefficient process. In recent years artificial
intelligence tools have been suggested to expedite the search.
We will describe several computational techniques we have
employed in our studies, which include: K-nearest neighbors
algorithm to perform classification of superconducting materials;
Random Forest regression to calculate superconducting critical
temperatures; Self-Organizing Maps and t-SNE to cluster and
visualize superconductors; and Generative Adversarial Networks
to predict new superconducting materials. These results will
be compared with the results of other similar studies. Our
most promising predictions will be discussed.
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