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SuperMatics Uses AI to Turn Superconductor Discoveries Into Usable Wire
ECOSYSTEM·Nov 4, 2026·2 MIN READ

SuperMatics Uses AI to Turn Superconductor Discoveries Into Usable Wire

Insider Brief - SuperMatics is developing superconducting materials designed for manufacture into affordable wire for applications including data center power delivery, quantum computing and fusion magnets.

Source

The Quantum Insider

Author: Matt Swayne

Published Nov 4, 2026

Summarised/rewritten with AI from The Quantum Insider

Read original articlearrow_forward

Insider Brief

  • SuperMatics is developing superconducting materials designed for manufacture into affordable wire for applications including data center power delivery, quantum computing and fusion magnets.
  • The Berkeley company uses AI models and agents to predict material properties, develop synthesis recipes and simulate finished wires or devices, incorporating experimental results into model training.
  • SuperMatics is in talks with global materials and technology companies about joint development programs and will present its approach Nov. 5 in Sunnyvale, California.

PRESS RELEASE — Since 1911, scientists have discovered thousands of superconductors, materials that carry electricity with zero resistance. Only a handful have ever been made into commercial wire. SuperMatics, a Berkeley company building AI exclusively for superconductors, is targeting that gap and will present its approach on November 5 at the Plug and Play Silicon Valley November Summit in Sunnyvale, California.

The gap is getting expensive. The International Energy Agency expects data center electricity use to more than double by 2030, and Microsoft is exploring superconducting power delivery for data centers. Fusion developers build magnets from high-temperature superconducting tape, which remains costly and scarce.

Records alone will not close it. In 2026, University of Houston researchers raised the ambient-pressure superconductivity record for the first time since 1993, but for power and magnets, a material matters only if it can become tough, affordable wire. Because standard simulations cannot reliably predict high-temperature superconductivity at everyday pressures, most teams still rely on trial and error.

SuperMatics designs for manufacturing from the start. Its multimodal foundation models and AI agents, built on physics including the Modulated Electron Lattice (MEL) framework, predict material properties, write the synthesis recipe, and simulate the finished wire or device. Candidates are made and tested with researchers at UC Berkeley and Georgia Tech, and every result, failures included, retrains the models.

“Records make headlines, but wires change industries,” said Davis Rens, Co-founder of SuperMatics and a former quantum engineer at Rigetti Computing. “The next breakthrough is not the highest temperature on paper. It is the superconductor someone can actually make, and that is what our AI is built to find.”

SuperMatics is in talks with global materials and technology companies on joint programs for existing high-temperature superconductors while building its own new materials pipeline. CEO Charlie Moon leads the company with co-founder Dr. Jaehwahn Kim, Hyunsung T&C’s CTO and a 25-year superconductivity veteran.

INDUSTRY NEWSCOMMERCIAL WIREQUANTUM COMPUTINGSUPERCONDUCTORSSUPERMATICSSUPERCONDUCTINGHARDWARESILICONSIMULATIONSOFTWARERESEARCH

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ABOUT THIS STORY

Source
The Quantum Insider
Published
Nov 4, 2026
Category
ECOSYSTEM
Read original articlearrow_forward

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