Hello everyone 👋, here is an open-source organization that supports the book "An Introduction to Materials Informatics. Prof. Zhang Tong-yi". Our goal is to facilitate teaching and understanding in the field. We welcome your contributions and feedback, especially if you spot any mistakes that need to be corrected.

If you have any suggestions, comments, or corrections regarding the content of the book, please feel free to share them with us. We appreciate your engagement and help in improving the quality and accuracy of the materials.

Together, we can create a valuable resource for the community and ensure that the book provides accurate and up-to-date information in the field of Materials Informatics. Thank you for your support and participation!

Click to buy the book : An Introduction to Materials Informatics(I)

1 : Instance-based transfer learning

• Instance selection (marginal distributions are same while conditional distributions are different) :

  TrAdaboost

• Instance re-weighting (conditional distributions are same while marginal distributions are different) :

  KMM

2 : Feature-based transfer learning

• Explicit distance:

  • case 1 : marginal distributions are same while conditional distributions are different:

    TCA(MMD based) ; DAN(MK-MMD based)

  • case 1 : conditional distributions are same while marginal distributions are different

    JDA

  • case 3 : Both marginal distributions and conditional distributions are different

    DDA

• Implicit distance :

  DANN

3 : Parameter-based transfer learning

• Pretraining + fine tune