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Using what we learned when trying to use the MLFF's latent space for Tc prediction, there's a way we can simplify things for the prediction model and give it a better change of picking up on the signa
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Simulating the material heating up to 300 K, we watch as the probability of the superconducting state gradually and steadily decreases, which makes it hard to choose an exact Tc.
Looking at the model predictions for the 200 K above Tc to get to room temperature, we see consistent and stable predictions for the non-superconducting state.
Ag0.1In0.9Te1-MP-mp-2597-synth_doped was tested on our classification model, which failed to find Tc and drop probability after Tc.
Visualizing Tc class predictions for Ag0.02Ge2Pd1.98Sr1-MP-mp-978986-synth_doped from the 3DSC(MP) dataset.