Caltech and Yale Researchers Quantify Kondo Effect via First Principles

Caltech and Yale Physicists Quantify the Kondo Effect

For the first time, researchers at the California Institute of Technology and Yale University have precisely quantified the Kondo effect in a real material using fundamental physics calculations.

Re-Engineering the Quantum Impurity

The Kondo effect dictates a stubborn reality in physics: magnetic atoms cause electrical resistance in metals to rise below a specific threshold known as the Kondo temperature. Normally, metals conduct electricity more efficiently as they cool because reduced energy lets electrons flow smoothly. Magnetic impurities shatter this predictable rhythm. Swarming electrons cluster around these magnetic atoms, canceling out the magnetism while actively obstructing electrical flow. While physicists have understood this phenomenon since the 1930s, modeling the underlying many-body problem with full precision across varied combinations of metals and magnetic impurities has long defeated supercomputers.

Chemistry Methods Unlock Physics Breakthroughs

To bypass these computational bottlenecks, the research team adapted an ab initio approach originally born in chemistry, modeling a single magnetic atom fully as a large molecule. By applying the basic laws of quantum physics alongside mathematical shortcuts across iterative computer runs, the researchers sharpened their predictions. When compared against actual lab measurements, the calculations showed striking predictive accuracy, outperforming existing models by a factor of 100 in some instances.

“We are now at a point where we can predict the properties of complicated materials purely through computation,” noted Garnet Chan, a physicist at Caltech who contributed to the study published in Science.

Scaling Up to Superconductors and Power Grids

While the initial study focused on basic combinations of metals and magnetic impurities, the team views these trials as a vital prototype. The ultimate goal is tackling far more complex phenomena, including quantum magnets and high-temperature superconductors.

“Predicting the material-specific behavior of correlated electrons from first principles is becoming realistic even for challenging classes of quantum materials,” stated Linqing Peng, a chemist at Caltech. These advanced prediction methods could soon help scientists design materials capable of transforming large-scale computing and power grid infrastructure.

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