zTSkut: Predict zT for skutterudite systems
A neural-network model for single and batch prediction of thermoelectric performance in skutterudite-based compositions. Empty optional fields are automatically treated as 0.
If you use this model, please cite the original paper:
Single-system prediction
Enter the composition, carrier concentration, temperature and carrier type. Leave unused composition/fraction boxes empty.
Prediction result will appear here.
Batch prediction
Download CSV templateUpload a CSV, JSON or Excel (.xlsx) file to predict zT for multiple skutterudite candidates in one run. Files should use measured or experimentally determined stoichiometric fractions, not nominal synthesis fractions.
Batch prediction results will appear here.
Required field format
a_comp_1,a_frac_1,a_comp_2,a_frac_2,a_comp_3,a_frac_3, c_comp_1,c_frac_1,c_comp_2,c_frac_2,c_comp_3,c_frac_3, f_comp_1,f_frac_1,f_comp_2,f_frac_2,f_comp_3,f_frac_3, f_comp_4,f_frac_4,f_comp_5,f_frac_5, n_300,T,p_n,ZT
p_n: 0 = p-type, 1 = n-type. ZT is a dummy field required for input formatting and is ignored by the model.