Materials Informatics: An Algorithmic Design Rule

Materials informatics, data-enabled investigation, is a"fourth paradigm"in materials science research after the conventional empirical approach, theoretical science, and computational research. Materials informatics has two essential ingredients: fingerprinting materials proprieties and the theory of statistical inference and learning. We have researched the organic semiconductor's enigmas through the materials informatics approach. By applying diverse neural network topologies, logical axiom, and inferencing information science, we have developed data-driven procedures for novel organic semiconductor discovery for the semiconductor industry and knowledge extraction for the materials science community. We have reviewed and corresponded with various algorithms for the neural network design topology for the materials informatics dataset.

• Publication year

  2023

• Venue

  arXiv.org

• Publication date

  2023-05-05

• Fields of study

  Physics, Materials Science, Computer Science

• Identifiers
  DOI 10.48550/arXiv.2305.03797arXiv 2305.03797
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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