Structural materials play a central role in National physical infrastructure development, and both the US and Japan have concerted efforts in developing structural materials for applications in maintaining, and improving their largescale physical infrastructure. In addition, both nations have efforts to discover, design, and deploy advanced structural materials for dynamic applications as in aerospace and power generation industries.
These are major undertakings that require a concerted effort ranging from fundamental materials science research, to acquiring, curating, and maintaining high‐quality data, and, ultimately, to manufacturing products that are energy efficient, environmentally sustainable, and durable.
The goals of this and subsequent workshops is to bring together a diverse group of researchers from the US and Japan to discuss ways to use predictive theory and modeling, combined with machine learning, data mining, and rapid‐acquisition of experimental data to produce highly efficient and low‐cost manufactured products.
