Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Chemical Environments: Representations and Correlations
Graph Chatbot
Related lectures (36)
Vector Transformation and Tense
Explores the transformation of vectors and tensors, including rotations and representations in quantum physics.
Spherical Tensors and Wigner-Eckart Theorem
Covers the transformation of vectors and tensors in quantum physics.
Elements of Lie Groups and Algebras
Explores the transformation of vectors and tensors in quantum physics, emphasizing Lie groups and algebras.
Representations of SU(2): Symmetries and Transformations
Covers the representations of SU(2) and their transformations in quantum mechanics.
Tensors and Lorentz Transformations
Covers tensors, Lorentz transformations, and electrodynamics in relativistic notation.
Tensor Analysis: Coordinate Systems
Covers tensor analysis for arbitrary coordinate systems and introduces Christoffel symbols.
Physics-inspired Machine Learning for Materials Discovery
Delves into physics-inspired machine learning for materials discovery, emphasizing atomic-scale modeling, thermodynamics, anharmonic free energies, and symmetry in machine learning models.
Covariant Derivatives and Christoffel Symbols
Covers accelerated and inertial coordinate systems, Jacobian, volume elements, covariant derivatives, Christoffel symbols, Lorentz case, and metric tensor properties.
Special and General Relativity
Introduces special and general relativity, Einstein equations, and gravitational dynamics.
Deep Learning Building Blocks
Covers tensors, loss functions, autograd, and convolutional layers in deep learning.
Christoffel Symbols and Gravity Before Einstein
Introduces Christoffel symbols and gravity concepts before Einstein, discussing mathematical tensors and the Nobel Prize in Physics.
Rotations: Angular Momentum
Covers angular momentum in rotations, including preservation of angles and vector products.
Geometric Transformations in R2 and R3: Visualizations and Rotations
Covers visualizations in orthonormal bases in R2, focusing on rotations and reflections.
Machine learning: Physics and Data
Delves into the intersection of physics and data in machine learning models, covering topics like atomic cluster expansion force fields and unsupervised learning.
Theory of Scalar Fields
Covers the theory of scalar fields, stability of fixed points, eigenvalues, Lagrangian interactions, tensors, and beta functions.
Conformal Transformations: Part 1
Covers the topic of conformal transformations, including translations, dilations, rotations, and the conformal algebra.
Neural Networks: Training and Activation
Explores neural networks, activation functions, backpropagation, and PyTorch implementation.
Machine Learning at the Atomic Scale
Log in to Mediaspace to watch this video
Explores simple models, electronic structure evaluation, and machine learning at the atomic scale.
Deformation Analysis in Solids
Log in to Mediaspace to watch this video
Explores the analysis of deformation in solids, emphasizing the importance of understanding stress, rotation, and translation.
Tensor Products and Symmetric Power
Log in to Mediaspace to watch this video
Covers tensor products, symmetric power, and exterior power of vector spaces, including properties and applications.
Previous
Page 1 of 2
Next