1:45 PM - 2:30 PM
[19p-141-2] [Keynote Lecture] Data-driven Scientific Approach to Materials Science
Keywords:Data science, Data-driven science
Natural science to date has been developed by extracting laws from
natural phenomena by means of experiments, and by deriving fundamental
laws in theoretical ways. In addition, numerical simulations using computers have enabled the analysis of complex theoretical models, and we have
been using the combination of these three methods to understand natural
phenomena. However, recent technological developments in experiments and measurements, which have made it possible
to obtain high-dimensional data, often make it difficult to identify the
point at which we combine these three methods. Data-driven approach is
a promising way as a possible solution. Here we discuss some examples of
data-driven studies in materials science.
natural phenomena by means of experiments, and by deriving fundamental
laws in theoretical ways. In addition, numerical simulations using computers have enabled the analysis of complex theoretical models, and we have
been using the combination of these three methods to understand natural
phenomena. However, recent technological developments in experiments and measurements, which have made it possible
to obtain high-dimensional data, often make it difficult to identify the
point at which we combine these three methods. Data-driven approach is
a promising way as a possible solution. Here we discuss some examples of
data-driven studies in materials science.