CSU PhysicsComputational Physics · Interactive Projects

Central State University · Computational Physics

Explore physics through interactive computation.

Open, browser-based projects that connect physical theory with numerical modeling, visualization, and reproducible scientific exploration.

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interactive projects
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learning resources
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accessible anywhere

Featured work

Interactive computational physics projects

Move from equations to working models. Each project combines scientific context with computational tools that invite visitors to test parameters, inspect results, and develop physical intuition.

Visualization from the nuclear binding energy calculator

Nuclear physics

Nuclear Binding Energy Calculator

Estimate nuclear binding energies from proton and neutron counts, examine mass defect, and build intuition for the forces that govern nuclear stability.

  • Interactive calculator
  • Nuclear stability
Open project
Numerical convection-diffusion simulation of pollutant transport

Transport phenomena

Radioactive Pollution Transport

Explore convection–diffusion simulations in one, two, and three dimensions, and follow how an instantaneous radioactive release moves and disperses in flowing water.

  • 1D, 2D, and 3D
  • MATLAB simulations
Open project
Plots and calculations for two-body quantum bound states in two dimensions

Quantum mechanics

Two-Body Bound States in 2D

Solve the two-dimensional Lippmann–Schwinger equation in the browser through validated notebooks for hydrogenic atoms, deuterons, excitons, and custom interactions.

  • Python notebooks
  • Published framework
Open project

About the portal

Connecting theory, computation, and learning

The CSU Physics Interactive Projects Portal presents computational physics as something visitors can actively investigate—not simply read about. The projects translate mathematical models into accessible calculations, simulations, and visual results.

Designed for students, educators, researchers, and curious learners, the portal supports independent exploration and classroom use while making the numerical methods behind each result visible and reproducible.

  • Learn by exploring.Change inputs and observe how physical predictions respond.
  • Connect equations to evidence.Follow the path from a model to its numerical and visual output.
  • Reuse open methods.Inspect code, notebooks, and supporting materials for further study.

Contact

Interested in educational or research collaboration?

I welcome inquiries about educational and research collaborations of any kind, including joint projects, computational methods, classroom applications, and opportunities to extend these open resources.

Dr. Mohammadreza Hadizadeh

Professor of Physics

College of Engineering, Science, Technology and Agriculture
Central State University