Materials Informatics: An Algorithmic Design Rule
Bhupesh Bishnoi
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.