Docs
Blog

in•19d

Tc prediction with the new D3 corrected model

Spot on prediction for Ca1Cu2Nd0.16Pb0.5Sr1.84Tl0.5O7-MP-mp-1173221-synth_doped with an error of just 1.4 K at 103.4 K.

Actions

Discover ways to transform this asset

Image-to-image generation for controlled variations of existing images or sketches

POST /stable-image/control/sketch

Generate 3D assets from a single 2D input image

POST /3d/stable-fast-3d

Generate a short video from an image

POST /image-to-video

Dimensions1842x1136

Size436KB

Extensionpng

Connections

How this file is connected to other assets

1 reference

Tc prediction model updates
Over the last week or so, I've been working on making some upgrades to the superconducting state classifier model. See the first attempt here:
in•20d•updated 18d ago
post

Similar files

Discover other files like this one

Clean transition in predictions for superconductivity

While underestimating, Ba2Ca2Cu3Tl2O10-MP-mp-1228620 has a pretty decent phase change which relatively high certainties on both sizes of Tc.

Superconducting state classification vs temperature

Visualizing Tc class predictions for Ag0.02Ge2Pd1.98Sr1-MP-mp-978986-synth_doped from the 3DSC(MP) dataset.

Uncertain superconducting state classification

Ag0.1In0.9Te1-MP-mp-2597-synth_doped was tested on our classification model, which failed to find Tc and drop probability after Tc.

Predicting high-Tc out of target distrubtion

These are the predictions made by a model that was trained on materials with max Tc of 90 K. Here we show how well it could predict a material (Ba2Ca1Cu2Hg1O6.24-MP-mp-6879-synth_doped) with a Tc greater than this range.