Introductory chapter

With practical application of third-generation artificial intelligence, the possibilities of computational chemistry and chemical research based on databases are increasing gradually. As a way of chemical research, which mainly consists of conventional experiments performed previously, researchers have proposed “inductive laws” based on the experimental data taken from systematic research or searching with testing. First, the author recaptures a “spectrochemical series,” which is one of the famous laws in the field of inorganic coordination chemistry, as an example of research using inductive laws based on many experimental data. Next, in the study of cyano-bridged metal complexes and their metal-organic frameworks (MOFs), the author introduces a case example of discovering specific phenomena by systematic experiments. Finally, in the research of hybrid functional materials including metal complexes, the author introduces some of his studies that have been experimentally (trial-and-error) and computationally performed for a combination of components, and shows the prospect of application of a data-driven style based on the latest papers.