The global push for decarbonization, advanced healthcare, and computational power is driving unprecedented investment in superconducting technologies. High-field magnets are essential for next-generation MRI, fusion energy, and quantum processors. This technology directly addresses the critical challenge of efficient power transfer and stability in these systems, enabling higher performance and lower operational costs. Regulatory incentives for green energy and breakthroughs in quantum research further amplify the urgency for robust superconducting solutions.
Achieves connection resistance below 10^-9Ω, virtually eliminating power loss and maximizing system efficiency compared to conventional methods.
Enables space-saving, ultra-low resistance connections, facilitating easy integration into diverse superconducting systems and reducing overall footprint.
Supports stable operation through permanent current mode, enabling 1GHz-class ultra-strong magnetic field NMR and reducing operational costs and improving reliability.
This patent protects a method and structure for connecting superconducting wires across 7 claims. It successfully overcame an office action, demonstrating the novelty and inventiveness of the technology and establishing a robust, difficult-to-invalidate right against 8 prior art documents.
This patent primarily covers the connection method and structure. White space exists in developing novel superconducting materials beyond oxide and metallic types, or in advanced cryogenics and integrated system designs for ultra-low temperature environments.
For institutions considering ultra-strong magnetic field NMR, this technology significantly reduces cooling costs, power loss, and re-energization downtime. For example, assuming annual power loss of ~$50K (AI est.), cooling maintenance costs of ~$350K (AI est.), and opportunity loss from re-energization downtime of ~$1.5M (AI est.), this technology could reduce these combined costs by approximately ~$1.9M/year (AI est.).
X: Connection Resistance Reduction
Y: Space-Saving Implementation