The problem: screening candidates in spreadsheets
Narrowing a field of cathode candidates means checking specs and filtering on several properties at once. Spreadsheets make that slow and easy to get wrong.
Twelve NMC811 candidates, each with synthesis conditions and a dozen measured properties, are hard to compare in a spreadsheet. Filtering on several properties at once invites mistakes, and cycling curves sit in separate files.
What this demo shows
- Check twelve NMC811 candidates against spec goals.
- Filter on calcination temperature, capacity retention and residual lithium hydroxide.
- Compare full cycling curves for the four that pass.
Why it matters
Picking the right candidates early saves months of cell building and cycling. Checking every candidate against spec goals, then filtering on the properties that matter, narrows the field with less risk of error.
Comparing full cycling curves for the finalists, rather than a single cycle number, shows how each candidate behaves over life.
See it with your own data
This video is part of Uncountable for batteries. To see how it would work with your own formulations and records, request a demo. Our team replies within 30 minutes during business hours.
Read the transcript
Uncountable turns battery materials R&D into structured data. 12 NMC 811 candidates, one record each. Results are checked against the spec goals. Failed goals show in red. Three filters find the ones that pass. Calcination above 750°, retention above 93%, and residual lithium hydroxide below 3,000 ppm. Then, compare their full cycling curves, not just the cycle 100 number.
From synthesis to cycling curves, all in Uncountable.
