Superconductors and Optimization
Ekin discusses the evolution of superconductors, highlighting the transition from LBCO to YBCO and the role of computational methods in optimizing high-temperature superconductors. While the quest for room temperature superconductors remains elusive, advancements in machine learning may enhance existing materials, pushing the boundaries closer to that goal. The conversation underscores the importance of understanding and manipulating known superconductors to achieve better performance.In this clip
From this podcast
Catalyst with Shayle Kann
Can AI revolutionize materials discovery?
Related Questions