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Room-Temperature Superconductors and Simulation
Learn how the world’s first claimed room-temperature superconductor could transform industries from MRI to semiconductors, and why quantum-level simulation tools are urgently needed.
Introduction to the guest
Dr. Yong-Jihn Kim, founder and CEO of Cutting Edge Superconductors, has over 30 years of experience in superconductivity. Dr. Kim has made contributions to the field including the recent discovery of CES-2023, which they claim to be the world’s first room-temperature ambient-pressure superconductor.
In this episode
We’ll dive into what this discovery could mean for technologies like MRI, energy systems, and semiconductors—and why simulation tools haven’t kept up with the demands of this new frontier.
Cutting Edge Superconductors, led by Dr. Yong-Jihn Kim, has announced CES 2023, which they claim to be the world’s first room-temperature, ambient-pressure superconductor.
This breakthrough could transform MRI, energy systems, data centers, and semiconductors by eliminating electrical resistance, lowering power consumption, and producing almost no heat.
A new type of transistor developed by the company operates at lower voltage with minimal energy loss, promising safer and more efficient semiconductor technologies.
The team is still in R&D but has identified the material composition, is preparing for mass production, and is collaborating with partners on prototypes such as MRI wires and wireless communication boards.
Room-temperature superconducting MRI systems could be built without heavy cooling equipment, making them lighter, more efficient, and more affordable, while addressing global MRI shortages.
Current simulation tools do not cover key superconducting phenomena such as levitation and quantum locking, forcing the team to build custom solutions.
Dr. Kim highlighted that most available tools are rooted in electromagnetism, whereas superconductors require quantum-mechanical modeling to capture microscopic interactions.
Quantum computing and AI, particularly quantum-mechanics-based AI, could eventually provide the simulation capabilities needed to fully design and optimize superconducting technologies.
Listen to the full episode on YouTube
0:00 Introduction
0:56 About Yong-Jihn Kim and Cutting Edge Superconductors
5:17 R&D status and commercialization efforts
7:02 Role of simulation in R&D process
9:39 Current simulation capabilities and applications
12:04 Identifying gaps and challenges in the current approach
14:25 Uniqueness of the problem vs. industry-wide challenges
16:05 Limitations of existing simulation tools and the need for custom solutions
17:39 Trends and future of simulation in superconductor field
19:14 The most critical simulation challenge
20:57 Final thoughts and next steps
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