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Prompt course · 9 lessons · 25 prompts · 1 hour · Beginner

AI for Materials Scientists

This prompt course teaches materials scientists to use AI for literature review, experiment planning, data analysis, and reports. You will practice with real tasks and learn to check the output.

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What you'll learn

  • Literature review: Use AI to digest materials science literature and pull out methods, findings, and comparisons you can act on.
  • Explain concepts: Use AI to get clear explanations of materials concepts, mechanisms, and characterization techniques for different audiences.
  • Plan experiments: Use AI to turn research questions into practical experimental plans, DOE matrices, and durability test designs.
  • Design materials: Use AI to generate and screen candidate material compositions before you commit lab time.
  • Analyze data: Use AI to inspect your data, choose statistics, and fit property models when you provide the numbers.
  • Troubleshoot lab: Use AI to troubleshoot failed syntheses, instrument problems, and visible defects from your descriptions or photos.
  • Write reports: Use AI to draft and refine the methods, results, abstract, conclusions, and reviewer responses for research reports.
  • Present and collaborate: Use AI to prepare talks, figure captions, and engineering-ready summaries of your findings.

What's inside

9 lessons · 25 prompts
  1. Before you start · framework course RACE Prompt Framework: Role, Action, Context, ExpectationRACE fits your materials work by defining role, action, context, expectation, like asking for alloy tensile results with error bars.
  2. Start here Priya's Wednesday, two waysA day in the life of a Materials Scientist, before and after these prompts.
  3. 01 Lesson 1 · 3 prompts Literature Review Basics
  4. 02 Lesson 2 · 2 prompts Explain Materials Concepts
  5. 03 Lesson 3 · 3 prompts Plan Experiments
  6. 04 Lesson 4 · 2 prompts Design New Materials
  7. 05 Lesson 5 · 3 prompts Analyze Material Data
  8. 06 Lesson 6 · 3 prompts Troubleshoot Lab Problems
  9. 07 Lesson 7 · 4 prompts Write Research Reports
  10. 08 Lesson 8 · 3 prompts Present And Collaborate
  11. 09 Lesson 9 · 2 prompts Grants And Stakeholders

About this course

7 topics

Prompts for Materials Scientists: From Papers to Reports

This course is a set of nine lessons that follow the work you already do. Each lesson gives you prompts you can copy into ChatGPT, Claude, or Gemini.

You will learn to ask for literature summaries, experiment plans, data checks, and report drafts. The goal is to save time and keep your scientific judgment in the loop.

  1. The lessons
    1. Literature Review Basics: Use AI to digest materials science literature and pull out methods, findings, and comparisons you can act on.
    2. Explain Materials Concepts: Use AI to get clear explanations of materials concepts, mechanisms, and characterization techniques for different audiences.
    3. Plan Experiments: Use AI to turn research questions into practical experimental plans, DOE matrices, and durability test designs.
    4. Design New Materials: Use AI to generate and screen candidate material compositions before you commit lab time.
    5. Analyze Material Data: Use AI to inspect your data, choose statistics, and fit property models when you provide the numbers.
    6. Troubleshoot Lab Problems: Use AI to troubleshoot failed syntheses, instrument problems, and visible defects from your descriptions or photos.
    7. Write Research Reports: Use AI to draft and refine the methods, results, abstract, conclusions, and reviewer responses for research reports.
    8. Present And Collaborate: Use AI to prepare talks, figure captions, and engineering-ready summaries of your findings.
    9. Grants And Stakeholders: Use AI to draft grant sections and concise progress updates for sponsors or managers.
  2. What the course covers

    The course covers nine lessons that match a materials scientist's week. You start with literature review and explaining concepts. Then you move to planning experiments, designing materials, and analyzing data. Later lessons cover troubleshooting, writing reports, presenting, and grants.

  3. How the lessons connect

    Each lesson builds on the one before it. A literature summary can feed into an experiment plan. An experiment plan can lead to a data analysis. A data analysis can become a report or a talk. The prompts are designed to work together.

  4. How to use the prompts well

    Give the AI your context: the material, the instrument, the goal, and any constraints. Ask for a specific format, like a table or a bullet list. Then check the answer against your own knowledge. If something looks off, ask the AI to explain its reasoning or try a different prompt.

  5. Who it is for

    This course is for materials scientists who want to save time on reading, planning, and writing. It is also for engineers and lab managers who work with materials data. You do not need to be technical with AI. You just need to be willing to try a few prompts.

  6. Safety and privacy for this job

    Materials science often involves proprietary formulas and sensitive data. Follow your employer's rules about what you can share. Use public information or anonymized numbers when you can. The course shows you how to keep your work safe while still getting help.

  7. Your next step

    Pick one lesson that matches a task on your desk today. Copy the prompt, fill in your details, and see what comes back. Then try another lesson tomorrow. Small, steady practice is how the prompts become a habit.