A guidance framework for material design of perovskite-type electrode of SOFC based on generative model

Yilin Li; Wei Feng; Xi Li; Zhiqiang Qian; Yanhui Zhang

doi:10.1117/12.3025947

15 March 2024 A guidance framework for material design of perovskite-type electrode of SOFC based on generative model

Yilin Li, Wei Feng, Xi Li, Zhiqiang Qian, Yanhui Zhang

Proceedings Volume 13075, Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023); 130751Z (2024) https://doi.org/10.1117/12.3025947
Event: Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023), 2023, Kunming, China

Abstract

One of the main goals of material design is to sift the proper materials with the properties we want. However, the traditional method, synthesizing and testing each material in laboratory, wastes time and energy, and the actual material we want is usually one in a million which makes it more difficult. Here, we develop a generative framework to give a guidance on material design with specific properties. Our framework is mainly drove by several variants of Generative Adversarial Networks (GANs) for material data generation. Our framework is trained with 86 perovskite-type material samples including their components information, and then we compared with various networks structures and algorithm, the result shows an acceptable accuracy of materials data generation which proved a possible method of inverse design of perovskite-type electrode of SOFC.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yilin Li, Wei Feng, Xi Li, Zhiqiang Qian, and Yanhui Zhang "A guidance framework for material design of perovskite-type electrode of SOFC based on generative model", Proc. SPIE 13075, Second International Conference on Physics, Photonics, and Optical Engineering (ICPPOE 2023), 130751Z (15 March 2024); https://doi.org/10.1117/12.3025947

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