An AI interoperability framework between FINALES and Kadi4Mat uses batched Bayesian optimization to explore trade-offs between shorter formation time and higher end-of-life performance in sodium-ion coin cells.
Benchmarking the acceleration of materials discovery by sequential learning.Chemical science, 11(10):2696–2706
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Accelerating battery research with an AI interface between FINALES and Kadi4Mat
An AI interoperability framework between FINALES and Kadi4Mat uses batched Bayesian optimization to explore trade-offs between shorter formation time and higher end-of-life performance in sodium-ion coin cells.