Phonons and Structural Transitions from DFT and Group Theory - Part 2
Explore phonons and structural transitions using DFT and group theory, advancing understanding of material properties and phase changes.
Phonons and Structural Transitions from DFT and Group Theory - Part 1
Explore phonons and structural transitions using DFT and group theory, gaining insights into fundamental concepts and advanced computational techniques.
Lattice Dynamics
Explore lattice dynamics through an in-depth seminar, gaining insights into crystal structures and their vibrational properties from expert Prof. Bartomeu Monserrat.
Algorithms and Hardness for Attention and Kernel Density Estimation
Explore algorithmic techniques for Attention and Kernel Density Estimation, examining fast algorithms and hardness results to optimize computational efficiency in machine learning and statistical tasks.
Ab Initio Approach to Electronic Conductivity Calculations for Disordered Structures
Explore ab initio methods for calculating electronic conductivity in disordered structures using the Kubo-Greenwood formula and LSMS method. Compare various approaches for energetics calculations.
Shaped Solution to the Poisson Equation in the Full-Potential KKR Method
Explore a practical and accurate solution to the Poisson equation in full-potential KKR, focusing on the removed-sphere method for disordered materials.
Quantum Simulation: Perspectives and Applications - Panel Discussion
Explore quantum simulation's multidisciplinary frontiers, from theoretical capabilities to experimental progress in trapped-atom and solid-state platforms, with leading researchers in the field.
Building Normalizing Flows with Stochastic Interpolants
Explore advanced techniques for constructing normalizing flows using stochastic interpolants, enhancing generative modeling capabilities.
Data Shift and Model Adaptation in Machine Learning
Explore data shift principles, detection strategies, and adaptation techniques in machine learning for dynamic environments. Practice hands-on with advanced topics to enhance model performance.
Python Physics: Numerical Modeling of a Chain Sliding Off a Table
Explore the physics of a sliding chain through numerical modeling in Python, demonstrating classical mechanics principles with practical code implementation and visualization.
Lagrangian Mechanics - Bead on a Rotating Hoop
Explore the dynamics of a bead on a rotating hoop through Lagrangian mechanics, featuring practical Python implementations and detailed mathematical analysis.
Lagrangian Mechanics - Modeling a Pendulum on an Oscillating Mount
Explore the fascinating dynamics of a pendulum with an oscillating mount through Lagrangian mechanics, including Python-based modeling and motion analysis.
On the Origin of Knowledge | Samuel Kováčik | TEDxCharles University
This talk explores how knowledge is formed, challenged, and refined through human experience. The speaker reflects on the origins of understanding, encouraging curiosity and skepticism as essential tools for navigating an increasingly complex world. Samuel Kováčik is a theoretical physicist at the C