Isao Tanaka | Impacts of Data Driven Methods in Materials Science and Technology
TÜBİTAK TBAE Scientific Türkiye: Public Lecture Series
Impacts of Data Driven Methods in Materials Science and Technology
Speaker: Isao Tanaka (Kyoto University, Japan)
Abstract: Materials discovery often triggers technological innovations and is an exciting topic in materials research. The challenges of accelerating materials discovery using data-driven methods have been well demonstrated in recent years. One approach is to use a materials database generated by first-principles density functional theory (DFT) calculations. DFT calculations are performed in large numbers with accuracy comparable to experiments, which are used to train machine learning of materials databases. Another approach uses datasets generated by systematically parallelized experiments. Data-driven methods can be used to discover optimal process conditions for otherwise difficult-to-synthesize compounds. Such techniques will have a significant impact on materials science and technology.