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Akademický článek

An active learning workflow for predicting hydrogen atom adsorption energies on binary oxides based on local electronic transfer features

Autor: Wenhao Jing, Zihao Jiao, Mengmeng Song, Ya Liu, Liejin Guo

Publikováno v: Green Energy & Environment, Vol 9, Iss 10, Pp 1489-1496 (2024)

Machine learning combined with density functional theory (DFT) enables rapid exploration of catalyst descriptors space such as adsorption energy, facilitating rapid and effective catalyst screening. However, there is still a lack of models for predic

Externí odkaz: https://doaj.org/article/87d7a65b8ba848d1b8c7d571bdfb6e8c

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Akademický článek

Synergistic effect of oxygen species and vacancy for enhanced electrochemical CO2 conversion to formate on indium oxide

Autor: Tengfei Ma, Zihao Jiao, Haoran Qiu, Feng Wang, Ya Liu, Liejin Guo

Publikováno v: eScience, Vol 4, Iss 3, Pp 100246- (2024)

Indium-based oxides are promising electrocatalysts for producing formate via CO2 reduction reaction, in which ∗OCHO is considered the key intermediate. Here, we identified that the ∗COOH pathway could be preferential to produce formate on In2O3 o

Externí odkaz: https://doaj.org/article/5322bfb617324f3fa9d287c4f6e8ffb8

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Akademický článek

An Arbitrary-Phase-Varying Digital Chirp Signal Generator Based on Improved CORDIC Algorithm and Trajectory Approximator

Autor: Haoran Zhang, Minqi Chen, Shuqin Wan, Zihao Jiao, Shenglin Hu, Peng Song

Publikováno v: IEEE Access, Vol 12, Pp 135362-135371 (2024)

The digital chirp signal (DCS) is commonly used in modern radar system and ultrashort pulse application. The traditional method is using DDS device, but this method is limited by many restrictions, including device limit, cost limit and application r

Externí odkaz: https://doaj.org/article/c0ff0302c12f4d1a9211b0913a60389f

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Akademický článek

Synergistic effect of oxygen species and vacancy for enhanced electrochemical CO2 conversion to formate on indium oxide.

Autor: Tengfei Ma¹, Zihao Jiao¹, Haoran Qiu¹, Feng Wang¹, Ya Liu¹ yaliu0112@mail.xjtu.edu.cn, Liejin Guo¹ lj-guo@mail.xjtu.edu.cn

Publikováno v: eScience / Dianhuaxue. Jun2024, Vol. 4 Issue 3, p1-8. 8p.

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