A collection of material datasets and trained AI/ML models for accelerating bio-based materials R&D.
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An AI-powered research assistant trained to provide evidenced guidance on materials discovery, optimization, and assessment.
Has anyone experimented with generating performance data (mechanical, barrier, etc.) faster than conventional tests? Including below what I've tried so far, would love to hear what others have tried!
I'm trialing a chitosan-based food-grade thin film, prioritizing strength, transparency & water vapor barrier. Any suggestions of additives to try?
The results of a support vector regression (SVR) model, using a dataset of 5,000 film formulations, suggest the addition of nanofibrillated cellulose & carnauba wax would be beneficial.
I second the chatbot's suggestion of nanofibrillated celluose, a recent study evidences its ability to improve mechanical strength. You could try beeswax instead of / in-parallel to carnauba, we find it yields similar results, but is less expensive.