Explores turbulence characteristics, simulation methods, and modeling challenges, providing guidelines for choosing and validating turbulence models.
Delves into the historical and geometric aspects of arc concatenation, including ellipse approximation and architectural applications.
Explores total scattering and PDF analysis in materials science, covering in-situ synthesis, data analysis techniques, and applications in host-guest systems.
Introduces Renku, a platform for collaborative data science, emphasizing reproducibility, shareability, reusability, and security.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
