Invariance Representations: Atomistic Machine Learning

Related lectures (32)

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Explores affinity in geometry, segment construction, ellipses, and circle projections.

Explores projections on lines and symmetries in 2D space, emphasizing fixed points and symmetric matrices.

Introduces the concept of discrete symmetries in Quantum Field Theory and their impact on particles and anti-particles.

Covers the storage of flow field data, differential operators, equivariance vs invariance, and symmetries in ChannelFlow.

Introduces discrete symmetries in Quantum Field Theory and discusses their implications in nature and interactions.

Covers symmetry elements, point groups, and mathematical symmetry operations.

Covers unitarity bounds, operator product expansion, conformal blocks, and the conformal bootstrap in conformal field theory.

Explains the inertia tensor, main axes, principal moments, and balancing of rotating solids.

Explores Noether's currents, symmetry transformations, mass terms, angular momentum, and Lorentz invariance in Dirac theory.

Delves into the mathematical definition of a frieze motif and the concept of symmetry in architecture.