ÌÇÐÄÊÓÆµ

March 10, 2025

Unraveling the mystery of high-temperature superconductors from first principles

The many-body ab initio simulation correctly captures two known experimental trends: the pressure effect, where the pairing order and gap increase with intra-layer pressure, and the layer effect, where the pairing order and gap vary with the number of copper-oxygen layers. Credit: Zhi-Hao Cui
× close
The many-body ab initio simulation correctly captures two known experimental trends: the pressure effect, where the pairing order and gap increase with intra-layer pressure, and the layer effect, where the pairing order and gap vary with the number of copper-oxygen layers. Credit: Zhi-Hao Cui

Ever since their discovery almost four decades ago, high-temperature superconductors have fascinated scientists and engineers alike. These materials, primarily cuprates, defy classical understanding because they conduct electricity without resistance at temperatures far higher than traditional superconductors. Yet despite decades of research, we still don't have a clear, comprehensive microscopic picture of how superconductivity emerges in these complex materials.

During my Ph.D. at Caltech, I was intrigued by the profound puzzle presented by high-temperature superconductors: Can we directly compute their from fundamental quantum mechanics without relying on simplified models or approximations? With this question, I embarked on a challenging but rewarding scientific journey.

Why cuprates are special, and challenging

Cuprates are layered compounds composed primarily of copper-oxygen planes. In their undoped parent state, they are insulators and antiferromagnets, meaning that the align antiparallel in adjacent copper atoms. Introducing a small number of holes or electrons dramatically transforms them, causing superconductivity to appear. However, capturing this transition and the detailed pairing mechanism at the atomic scale has proven notoriously challenging for theorists.

Our recent study tackles this long-standing challenge. Together with collaborators from Caltech, Columbia, and Berkeley, we developed an advanced computational framework to simulate and predict superconductivity from first principles—meaning our calculations start directly from atomic positions without simplifications. The work is in Nature Communications.

Get free science updates with Science X Daily and Weekly Newsletters — to customize your preferences!

Pressure, layers, and superconductivity—decoding the clues

We focused specifically on two intriguing and widely observed phenomena in :

Remarkably, our ab initio simulations successfully reproduced these well-known experimental observations without pre-adjusting parameters or using fitted data. In fact, we could directly observe the pairing order—the essential quantum property behind superconductivity—and calculate pairing gaps, which relate closely to superconducting temperatures.

Only direct-ring diagrams (charge-charge fluctuation) are not enough to generate superconductivity. Spin fluctuation (from other diagrams in higher accuracy solvers) is the driving force of superconductivity. Credit: Zhi-Hao Cui
× close
Only direct-ring diagrams (charge-charge fluctuation) are not enough to generate superconductivity. Spin fluctuation (from other diagrams in higher accuracy solvers) is the driving force of superconductivity. Credit: Zhi-Hao Cui

Deep dive: Spin and charge fluctuations drive pairing

What makes superconductivity happen at microscopic scales? Our calculations revealed the key lies in two critical types of quantum fluctuations:

These fluctuations, which occur at short distances—just a few atoms apart—act together to enable superconductivity. Interestingly, it turned out that spin fluctuations are crucial for pairing, while charge fluctuations set the stage by tuning the electronic environment around copper atoms.

The superconducting pairing order correlates strongly with (A) magnetic exchange coupling J, (B) oxygen doping, and (C) Cu–O bond covalency, providing insight into material optimization. Credit: Zhi-Hao Cui
× close
The superconducting pairing order correlates strongly with (A) magnetic exchange coupling J, (B) oxygen doping, and (C) Cu–O bond covalency, providing insight into material optimization. Credit: Zhi-Hao Cui

Identifying the fingerprints of superconductivity

Can we quickly estimate how superconductive a material might be from simpler properties? Our simulations identified two straightforward "descriptors":

These descriptors correlated strongly with computed superconducting properties, giving valuable hints on how structural changes or chemical substitutions might affect superconductivity.

The way forward—bridging theory and experiment

The ability to reliably simulate from first principles represents a significant step forward. While our calculations do not yet capture all complexities—like phonons (atomic vibrations), structural disorder, and explicit dopant effects—they illustrate clearly that a complete microscopic description of high-temperature superconductivity is achievable.

Our hope is that this ab initio approach will allow researchers to more quickly identify promising superconducting materials and better understand existing ones. Perhaps most excitingly, the methods we developed could guide experimentalists toward new materials with even higher superconducting temperatures, bringing us closer to practical applications in energy transmission, transportation, and quantum technology.

The mysteries of high-temperature superconductivity have not been fully solved—but we are now closer than ever to understanding them at their most fundamental level. This journey is just beginning, and I'm excited to see where it takes us next.

This story is part of , where researchers can report findings from their published research articles. for information about Science X Dialog and how to participate.

More information: Zhi-Hao Cui et al, Ab initio quantum many-body description of superconducting trends in the cuprates, Nature Communications (2025).

Journal information: Nature Communications

Load comments (0)

This article has been reviewed according to Science X's and . have highlighted the following attributes while ensuring the content's credibility:

fact-checked
peer-reviewed publication
trusted source
written by researcher(s)
proofread

Get Instant Summarized Text (GIST)

High-temperature superconductors, particularly cuprates, conduct electricity without resistance at higher temperatures than traditional superconductors, yet their microscopic mechanisms remain elusive. Recent simulations from first principles successfully reproduced known phenomena like the pressure and layer effects in cuprates, revealing that spin and charge fluctuations drive superconductivity. Key descriptors, such as magnetic exchange coupling and Cu–O covalency, correlate with superconducting properties, offering insights into material design. This approach advances the understanding of superconductivity and may guide the discovery of new materials with higher superconducting temperatures.

This summary was automatically generated using LLM.