Explores the classification and practical applications of symmetries in 3D space, emphasizing user-driven determination of object symmetries.
Explores symmetry and boundary conditions in finite element models, emphasizing the importance of maintaining symmetry for accurate modeling.
Explores the application of machine learning in molecular dynamics and materials, emphasizing the creation of meaningful features and the importance of generalizability.
Introduces turbulence and symmetry in fluid dynamics, exploring the effects of Reynolds number on flow patterns.
