IonML Superionic Conductor Design Platform

90.4% precision, 0.8s screening

An integrated machine learning platform combining fingerprinting, prediction, screening, and directed design, achieving directed design of superionic conductors within 2 minutes, closing the loop from prediction to inverse design.

Wang, Zhilong · Jing, Gao · Kehao, Tao · Han, Yanqiang · Chen, An · Li, Jinjin

Energy Storage Materials 2023

Specifications

精度
{'zh': '90.4', 'en': ''} %

Advantages

Identifies superionic conductors in 0.8s

Directed design within 2 min

Database of over 19,000 SICs, rapidly identifies 61 new stable SICs

Directed designs 65 new SICs