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    Magnetic force training helps AI take charge of material simulations

    1 week ago

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    An international team of researchers has developed a new method for parameterizing machine-learning interatomic potentials (MLIP) to simulate magnetic materials, making the prediction of their properties much more reliable and accurate. A key feature of the new approach is that the models of interatomic interactions are trained on so-called "magnetic forces."
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