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Materials Informatics: An Algorithmic Design Rule

arXiv 2305.03797 ↗First posted 5 May 2023cond-mat.mtrl-sci cond-mat.stat-mech cs.LGcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 44 of its 182 references that are in the map. First posted on arXiv 5 May 2023.

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