Spaces:

RuijiaTan
/

MultiPrincipalElementAlloyPropertyPredictor

Running

Ruijia commited on May 15, 2023

Commit

21db611

•

1 Parent(s): e48fdaa

Update README.md

Files changed (1) hide show

README.md CHANGED Viewed

@@ -17,9 +17,9 @@ How to use it?
   1. Choose one Machine Learning model;
   2. Enter the number of the corresponding elements;
   3. Click "Predict”.
-        Get the normalized chemical formula of the alloy;
-        Obtain the predicted values;
-        Present all 14 kinds of empirically calculated parameters[1]
 [1]Li, Z.; Nash, W.; O’Brien, S.; Qiu, Y.; Gupta, R.; and Birbilis, N., 2022. cardi- gan: A generative adversarial network model for design and discovery of multi principal element alloys. Journal of Materials Science & Technology, 125 (2022), 81–96.

   1. Choose one Machine Learning model;
   2. Enter the number of the corresponding elements;
   3. Click "Predict”.
+     1. Get the normalized chemical formula of the alloy;
+     2. Obtain the predicted values;
+     3. Present all 14 kinds of empirically calculated parameters[1]
 [1]Li, Z.; Nash, W.; O’Brien, S.; Qiu, Y.; Gupta, R.; and Birbilis, N., 2022. cardi- gan: A generative adversarial network model for design and discovery of multi principal element alloys. Journal of Materials Science & Technology, 125 (2022), 81–96.