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Guided Physics

A free AI-guided physics learning site with ten structured courses, adjustable difficulty, interactive chat, practice support, thought experiments, and progress tracking.

Guided Physics

Overview

Guided Physics is a free, AI-powered educational website organized like a college physics department. It combines a structured curriculum with conversational learning: visitors can read lessons, choose an AI physics guide, select a difficulty level, and ask questions about the material. The site presents ten complete courses ranging from introductory physics and mathematical methods to quantum mechanics, special relativity, and astrophysics and cosmology.

The AI chat is available through a dedicated physics chat page and within course and lesson pages. Responses can include explanations, equations, examples, analogies, hints, worked problems, and suggested follow-up questions. The site states that its chat is powered through OpenAI and that AI answers are educational aids rather than replacements for qualified instruction.

What you can explore

The curriculum includes Introduction to Physics, Mathematical Methods for Physics, Classical Mechanics, Waves and Oscillations, Thermodynamics and Statistical Mechanics, Electricity and Magnetism, Optics and Light, Special Relativity, Quantum Mechanics, and Astrophysics and Cosmology. Courses are divided into modules and individual lessons, and learners can follow recommended paths or move directly to topics of interest.

Guided Physics also includes profiles of notable physicists, an educational blog, curated physics news, resource pages, and a collection of major thought experiments such as Galileo’s falling bodies, Newton’s cannonball, Maxwell’s demon, Einstein’s train and lightning, and Schrödinger’s cat. Users who sign in with Google can track completed lessons, resume from their last lesson, and earn printable course-completion certificates.

Who it is for

The site explicitly identifies high school students, college students, homeschool families, curious adults, teachers, and self-directed learners as intended audiences. Adjustable levels range from beginner explanations without equations to mathematically advanced treatments, allowing visitors to approach the same subject with different levels of rigor.

AI personas and guides

Guided Physics features five named fictional AI teaching personas: Dr. Isaac Rowan for classical mechanics and mathematical physics; Dr. Maya Chen for electricity, magnetism, waves, and optics; Dr. Elena Voss for quantum mechanics and modern physics; Dr. Marcus Hale for relativity, gravity, astrophysics, and cosmology; and Prof. Ada Sinclair for laboratory physics, computational physics, and problem practice. Each has a distinct teaching approach, and the site clearly states that the persona biographies and professional histories are invented.

Expert guides

Meet the personas at Guided Physics

Dr Maya Chen

Primary persona

Dr. Maya Chen

Dr Maya Chen is an expert on Guided Physics who teaches electricity, magnetism, circuits, waves, and optics through visual explanations and analogies.

Elena Voss

Professor of Quantum and Modern Physics

Dr. Elena Voss

Dr Elena Voss is an expert instructor on Guided Physics who helps learners explore quantum mechanics, atomic physics, measurement, uncertainty, and modern physics.

Isaac Rowan

Professor of Classical and Mathematical Physics

Dr. Isaac Rowan

Dr. Isaac Rowan is a AI physics persona on Guided Physics who teaches classical mechanics and mathematical physics through precise, patient, first-principles explanations.

Dr. Marcus Hale

Professor of Relativity and Cosmology

Dr. Marcus Hale

Dr. Marcus Hale is a professor on Guided Physics who teaches relativity, gravity, astrophysics, and cosmology through thought experiments, historical context, and observer-based explanations.

Professor Sinclair

Professor of Experimental and Computational Physics

Prof. Ada Sinclair

Professor Ada Sinclair is a fictional AI physics persona on Guided Physics who supports lab physics, computational physics, simulations, error analysis, and homework-style problem practice.

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