Explore data science applications in assembly engineering through this 56-minute conference talk by Sharon C Glotzer at KDD. Delve into key concepts such as self-assembly, crystallization, and complex crystal structures in soft matter. Discover the role of computer simulations, molecular dynamics, and open-source practices in studying nanoparticle shapes and clathrate colloidal crystals. Learn about the Signiac Framework for research, best practices in file naming, and data visualization techniques. Gain insights into machine learning applications for structural description, continuous topology, and self-assembly pathways. Enhance your understanding of how data science tools can be leveraged to advance assembly engineering and crystal structure analysis.
Data Science for Assembly Engineering - Sharon C Glotzer