MAI PhysicsModels. Measurements.
Reproducibility.

The person behind MAI Physics

Md Ashraful Islam

Founder of MAI Physics — a platform for interactive experiments, reproducible models, and scientific storytelling.

My work here explores how visual explanations and executable mathematical models can help us ask better questions about physics, computation and artificial intelligence.

View my LinkedIn profile ↗Contact MAI Physics

Three paths into the work

Explore. Reproduce. Question.

Mathematics

Try the P versus NP visual lab. Separate an observation about one algorithm from a statement about every algorithm.

Editorial practice

Make the reasoning inspectable.

MAI Physics distinguishes established results, educational simulations, research proposals and philosophical interpretations. Each explanation should identify its assumptions, sources and limitations.

AI tools assist with research, code, writing and visual communication. Their output requires checking. An animation illustrates an idea; its appearance is not evidence that the underlying claim is true.

Corrections are welcome. Include the exact claim, a source or reproducible counterexample, and a proposed correction in your message to projects@maiphysics.com.

Public author profile · Updated 31 October 2026. LinkedIn is the established profile linked by this project. New social destinations will be added after their ownership and URLs are confirmed.