Physics Visualization with Jupyter Notebooks

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Related lectures (33)

Piston on a Box: COMSOL Example 8

Covers the simulation of a piston on a box using COMSOL Multiphysics.

Acoustic Radiation of Vibrating Sphere

Explores the simulation of sound radiation from a pulsating sphere and the monopole using COMSOL Multiphysics.

The Pulsating Sphere: ComSol Example

Delves into simulating sound radiation from a pulsating sphere using ComSol software.

Modeling Prisoner's Dilemma: Naive vs. Optimal

Explores the modeling of the '100 prisoners' problem and compares naive and optimal approaches.

Free Piston Simulation

Demonstrates the simulation of a free piston system using COMSOL Multiphysics software.

Piston in a Screen: COMSOL Example

Demonstrates simulating a piston in a screen using COMSOL Multiphysics.

Heat Transfer in Falling Ring Simulation

Explores heat transfer in a falling ring simulation, emphasizing thermal conduction and exchange with the surrounding liquid.

HPC Infrastructure: Blue Brain Project

Explores the HPC infrastructure of the Blue Brain Project, including multi-compartment neuron refinement and large-scale data processing.

Teaching with Jupyter Notebooks

Introduces Jupyter notebooks for teaching sciences, focusing on visualizing angles and forces in physics problems.

Simulation & Optimization: Poisson Process & Random Numbers

Explores simulation pitfalls, random numbers, discrete & continuous distributions, and Monte-Carlo integration.

Configuring your synapse to realistic biological ranges MOOC: Simulation Neurocience

Covers configuring synapses to realistic biological ranges and visualizing NMDA conductance dependencies.

Finite Element Analysis of Scapulas

Focuses on automating finite element analysis of scapulas using Python.

Simulation: Control of Dynamic Systems

Explores simulation of common structures and control of dynamic systems through friction and elasticity constants.

Plasma Dynamics: Fluid Models MOOC: Plasma Physics: Introduction

Introduces simpler fluid models to study plasma dynamics with a focus on two specific models and their applications.

Scientific Computing in Neuroscience

Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.

Optimization and Simulation: Introduction to Simulation

Introduces state-of-the-art methods in optimization and simulation, covering topics like statistical analysis, variance reduction, and simulation projects.

Event Handling in GTKmm4: Timers and File Management

Discusses implementing keyboard events, timers, and file management in GTKmm4 applications.

Scientific Computing Essentials

Covers algorithmic thinking, Python programming, numerical methods, and essential computing concepts for scientific computing.

Modeling Heat Transfer in Falling Rings

Explores modeling heat transfer between falling rings and liquids, focusing on temperature changes and thermal conduction.

Python Programming: Data Structures and Functions

Covers advanced Python programming concepts, including data structures and functions.

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