Explores the dynamical consequences of symmetry, emphasizing conservation laws and the role of Noether currents.
Explores the classification and practical applications of symmetries in 3D space, emphasizing user-driven determination of object symmetries.
Covers velocity, acceleration, dynamics, moments of inertia, and kinetic energy storage systems.
Explores the consequences of symmetry, focusing on the Noether Theorem and coordinated charges in Lie groups.
Delves into the intersection of physics and data in machine learning models, covering topics like atomic cluster expansion force fields and unsupervised learning.
Explores fundamental theorems and practical applications of modern symmetry theory, including decorative motifs and linear pattern extensions.
Covers constructing tensor products of representations, finding correct bases for matrices, and the importance of symmetry in physics problems.
