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Prompt course · 8 lessons · 27 prompts · 1 hour · Beginner

AI for Physicists

This prompt course teaches physicists to use AI for literature, math, coding, experiments, data, writing, talks, and teaching. Each lesson gives you practical prompts you can adapt to your own research.

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What you'll learn

  • Literature And Concepts: Use AI to digest new papers, clarify unfamiliar ideas, and compare models before the math.
  • Math And Derivations: Use AI to check algebraic steps, simplify expressions, and explore limiting cases.
  • Coding And Simulations: Use AI to draft, debug, and speed up numerical code for simulations and data reduction.
  • Experimental Design: Use AI to plan protocols, build uncertainty budgets, and identify controls before you commit time.
  • Data Analysis And Statistics: Use AI to choose statistical methods, interpret fits, and structure a reproducible pipeline.
  • Papers And Referee Replies: Use AI to draft and polish manuscripts and respond to referee reports without losing your voice.
  • Talks And Collaboration: Use AI to structure presentations, prepare for tough questions, and keep collaborators aligned.
  • Teaching And Grant Admin: Use AI to create teaching materials and handle funding paperwork so you can focus on research.

What's inside

8 lessons · 27 prompts
  1. Before you start · framework course Chain of Thought and Step-Back PromptingThis framework fits your physics work by stepping back to first principles then chaining steps for a scattering calculation.
  2. Start here Elena's Thursday, two waysA day in the life of a Physicist, before and after these prompts.
  3. 01 Lesson 1 · 3 prompts Literature And Concepts
  4. 02 Lesson 2 · 3 prompts Math And Derivations
  5. 03 Lesson 3 · 3 prompts Coding And Simulations
  6. 04 Lesson 4 · 4 prompts Experimental Design
  7. 05 Lesson 5 · 3 prompts Data Analysis And Statistics
  8. 06 Lesson 6 · 5 prompts Papers And Referee Replies
  9. 07 Lesson 7 · 3 prompts Talks And Collaboration
  10. 08 Lesson 8 · 3 prompts Teaching And Grant Admin

About this course

7 topics

Practical AI Prompts for Physicists, Lesson by Lesson

This course walks through eight lessons that match a physicist's day. You will learn prompts for reading papers, checking math, writing code, designing experiments, analyzing data, handling referee replies, preparing talks, and managing teaching and grant tasks.

Each lesson explains when to use the prompt, how to shape it, and what to check before you trust the output. You stay in charge of the science.

  1. The lessons
    1. Literature And Concepts: Use AI to quickly digest new papers, clarify unfamiliar physics ideas, and compare competing models before you dive into the math.
    2. Math And Derivations: Use AI to check algebraic steps, simplify expressions, and explore limiting cases so your derivations are cleaner and more reliable.
    3. Coding And Simulations: Use AI to draft, debug, and speed up numerical code for simulations, data reduction, and physics calculations.
    4. Experimental Design: Use AI to plan protocols, build uncertainty budgets, and identify controls before you commit time and equipment.
    5. Data Analysis And Statistics: Use AI to choose appropriate statistical methods, interpret fits, and structure a reproducible analysis pipeline.
    6. Papers And Referee Replies: Use AI to draft and polish manuscripts and respond professionally to referee reports without losing your scientific voice.
    7. Talks And Collaboration: Use AI to structure presentations, prepare for tough questions, and keep collaborators aligned across projects.
    8. Teaching And Grant Admin: Use AI to create teaching materials and handle funding paperwork so you can spend more time on research and mentoring.
  2. What the Course Covers

    The course covers the full range of tasks that support physics research. You will practice prompts for literature, math, coding, experiments, data, writing, talks, and administration.

  3. How the Lessons Connect

    The lessons follow the rhythm of a research project. You start by understanding an idea, then check the math, build a simulation, plan an experiment, analyze results, write it up, present it, and manage the paperwork.

  4. How to Use Prompts Well

    Give the AI context: the subfield, the goal, and any constraints. Ask for steps or alternatives, then verify the output against your own knowledge. Treat every answer as a draft, not a final result.

  5. Who It Is For

    This course is for physicists in academia, national labs, or industry who want to work faster without giving up rigor. It works whether you are a graduate student, a postdoc, or a senior researcher.

  6. Safety and Privacy

    Do not paste unpublished data, proprietary code, or personal information into public AI tools. Use institutional guidelines and secure versions when available. The course shows you how to get help while protecting your work.

  7. Your Next Step

    Pick one lesson that matches a task on your desk this week. Try the prompt, adjust it to your needs, and note what worked. Then move to the next lesson when you are ready.