SymbolicIndexingInterface.jl: Symbolic Indexing for Everyone
Explore symbolic indexing in Julia with SymbolicIndexingInterface.jl, enabling intuitive access to symbolic variables across modeling DSLs and frameworks for efficient data manipulation.
Casimir Dissipation Stabilized Stochastic Rotating Shallow Water Equations on the Sphere
Explore stochastic rotating shallow water equations on the sphere, focusing on Casimir dissipation stabilization techniques and their applications in geophysical fluid dynamics.
Lagrangian Trajectories and Closure Models in Quantum Classical Dynamics
Explore Lagrangian trajectories and closure models in quantum classical dynamics, gaining insights into advanced theoretical physics concepts.
Hamiltonian Variational Formulation for Non-Simple Thermodynamic Systems
Explore Hamiltonian variational formulation for complex thermodynamic systems, gaining insights into advanced mathematical approaches in physics and engineering.
Cold Starting of Reservoir Systems in the Forecasting of Dynamical Systems
Explore cold starting techniques for reservoir systems to enhance dynamical system forecasting. Gain insights into advanced prediction methods.
A Sub-Riemannian Model of the Functional Architecture of M1 for Arm Movement Direction
Explore a sub-Riemannian model of M1's functional architecture for arm movement direction, gaining insights into neural mechanisms and motor control.
Physics Lab: Modeling the Motion of a Falling Coffee Filter with Python
Model falling coffee filter motion with Python, exploring air resistance and drag coefficients using real data and numerical calculations.
Building a 3D Model of the Solar System with Python
Construct a 3D solar system model using Python and Web VPython, exploring numerical modeling and adding multiple planets.
Python Physics: Modeling RC Circuits without Differential Equations
Model RC circuit voltage over time using Python, avoiding differential equations. Learn numerical calculations for practical circuit analysis.
Python Physics: Modeling a Pendulum with Jupyter Notebooks
Model a pendulum's motion using Python and Jupyter Notebooks. Learn to apply Newton's second law in polar coordinates and visualize the results through practical coding exercises.
Modeling the DART-Dimorphos Collision in Python
Model the DART-Dimorphos collision using Python, exploring binary orbits, elastic and inelastic collisions, and conservation of momentum. Experiment with different parameters to understand asteroid redirection techniques.
Falling Through the Center of a Non-Uniform Density Earth - Python Simulation
Explore Earth's interior through a 3D Python model, comparing orbital and tunnel travel times with varying density distributions.
Modeling the Electric Field Due to Parallel Plates Using Python
Model electric fields between parallel plates using Python and 20,000 points, avoiding calculus for a clear visualization.
Which String Breaks First? Modeling a Physics Demo with Python
Model a physics demo of two strings supporting a mass using Python to determine which string breaks first when pulled.
Python Physics: Object Falling to Earth and Gravitational Potential Energy
Model an object falling to Earth, exploring gravitational potential energy and the relationship between work done by changing gravitational force and kinetic energy change.
Python Physics: Modeling the Wolf and Hare Problem
Model wolf-hare chase dynamics using Python, exploring predator-prey motion patterns and computational problem-solving in physics simulations.
Introduction to Sensitivity Analysis - Week 12
Explore sensitivity analysis techniques to assess how changes in input variables affect model outcomes and decision-making processes.
Introduction to Green's Function - A One-Dimensional Example
Explore Green's Function through a one-dimensional example, gaining insights into this mathematical concept and its applications in physics and engineering.
Amplitude Phase-Field Crystal Model for Complex Lattices
Explore complex lattice structures using the amplitude phase-field crystal model, focusing on advanced computational techniques and applications in materials science.
The Long-Run Distribution of Stochastic Gradient Descent: A Large Deviations Approach
Explore the long-run behavior of stochastic gradient descent in non-convex problems, analyzing state space visitation patterns and energy level distributions.
A New Derivative-Free Method Using an Improved Under-Determined Quadratic Interpolation Model
Explore a novel derivative-free optimization method using improved under-determined quadratic interpolation, considering trust-region iteration properties and model optimality.