Description

Book Synopsis

Polymer Data and Deep Neural Networks.- Deep Learning for Polymer Property Prediction.- Deep Learning for Inverse Polymer Design.- Interpretable Learning: Graph Rationalization with Environment-based Augmentation.- Imbalanced Learning: Semi-Supervised Graph Imbalanced Regression.- Generative Modeling: Data-Centric Learning from Unlabeled Graphs with Diffusion Models.

Deep Learning for Polymer Discovery

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    Order before 4pm today for delivery by Tue 16 Jun 2026.

    A Hardback by Gang Liu

    15 in stock


      View other formats and editions of Deep Learning for Polymer Discovery by Gang Liu

      Publisher: Springer
      Publication Date: 10/08/2025
      ISBN13: 9783031847318, 978-3031847318
      ISBN10:
      Also in:
      Computing Artificial intelligence (AI)

      Description

      Book Synopsis

      Polymer Data and Deep Neural Networks.- Deep Learning for Polymer Property Prediction.- Deep Learning for Inverse Polymer Design.- Interpretable Learning: Graph Rationalization with Environment-based Augmentation.- Imbalanced Learning: Semi-Supervised Graph Imbalanced Regression.- Generative Modeling: Data-Centric Learning from Unlabeled Graphs with Diffusion Models.

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