AI for Materials Science starter kit [D]

Reddit r/MachineLearning / 4/16/2026

💬 OpinionSignals & Early TrendsIdeas & Deep AnalysisTools & Practical Usage

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Key Points

A Reddit user asks computational chemists and cheminformatics practitioners for recommended papers, courses, tutorials, and talks to learn AI specifically for materials science.
The post sets a high bar for recommendations, requesting resources that would be sufficient to conduct research in the field and contribute meaningfully to the community.
It highlights an existing reference point: a UChicago course repository (“applied-ai-for-materials”) as a potentially comprehensive starter resource.
The request is positioned as a community resource, encouraging others to contribute additional learning materials.
The discussion is focused on learning pathways and benchmarkable study content rather than announcing any new tool, model, or research result.

Hi everyone,

I've been close to Deep Learning for a while now, and have a good grasp of the fundamentals. So for the computational chemists / cheminformatics people here, what resources -- papers, courses, tutorials, talks -- would you recommend I do to learn about AI for Materials Science?

For a benchmark, suggest resources such that doing them would be sufficient to do research in the area and contribute meaningfully to such circles.

The most expansive thing I could find was this course from UChicago: https://github.com/WardLT/applied-ai-for-materials

Hopefully this can be a resource for the whole community.

Thanks!

submitted by /u/simple-Flat0263
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