Lectures related to Physics Visualization with Jupyter Notebooks

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.

Data Science Visualization with Pandas

Covers data manipulation and exploration using Python with a focus on visualization techniques.

Water Quality Modelling

Explores water quality modelling, focusing on carbonate chemistry reactions and the use of PHREEQC software for water softening simulations.

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.

Advanced Pandas Functions

Focuses on advanced pandas functions for data manipulation, exploration, and visualization with Python, emphasizing the importance of understanding and preparing data.

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

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

Molecular Dynamics and Monte Carlo: Computational Environment

Covers the computational environment for Molecular Dynamics and Monte Carlo exercises, emphasizing theoretical understanding over coding skills.

Data Science for Engineers: Part 2

Explores data manipulation, exploration, and visualization in data science projects using Python.

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

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.