Accelerating Optimizing the Design of Carbon‐based Electrocatalyst via Machine Learning

Electroanalysis - Tập 34 Số 4 - Trang 599-607 - 2022
Zhuochen Yu1, Weimin Huang1
1College of Chemistry, Jilin University, Changchun 130012, China

Tóm tắt

AbstractIn this era of artificial intelligence, we urgently want to optimize the current material design methods to come up with a more efficient and more accurate closed‐loop system. The approach requires at least three parts including high‐throughput screening, automated synthesis platform, and machine learning algorithms. Fortunately, the techniques mentioned above have been substantial developed. We have introduced the common algorithms of machine learning. Then, several machine learning‐based design of carbon‐based electrocatalysts are discussed. We tried to illustrate the research norms involving machine learning. Besides, other paper structures and details have been also discussed.

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Electroanalysis

Tập 34 Số 4

599-607

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