Journal of Colloid and Interface Science, Год журнала: 2024, Номер 683, С. 546 - 554
Опубликована: Дек. 26, 2024
Язык: Английский
Journal of Colloid and Interface Science, Год журнала: 2024, Номер 683, С. 546 - 554
Опубликована: Дек. 26, 2024
Язык: Английский
Science China Materials, Год журнала: 2024, Номер 67(6), С. 1765 - 1779
Опубликована: Май 15, 2024
Язык: Английский
Процитировано
6Advanced Materials, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 19, 2024
Solar-driven photocatalytic green hydrogen (H
Язык: Английский
Процитировано
5International Journal of Hydrogen Energy, Год журнала: 2025, Номер 116, С. 378 - 388
Опубликована: Март 13, 2025
Язык: Английский
Процитировано
0Journal of Power Sources, Год журнала: 2025, Номер 641, С. 236865 - 236865
Опубликована: Март 26, 2025
Язык: Английский
Процитировано
0Separation and Purification Technology, Год журнала: 2025, Номер unknown, С. 133049 - 133049
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 162794 - 162794
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Advanced Functional Materials, Год журнала: 2024, Номер unknown
Опубликована: Авг. 19, 2024
Abstract Covalent triazine frameworks (CTFs), noted for their rich nitrogen content, have attracted significant attention as promising photocatalysts. However, the structural complexity introduced by diversity of atoms in nitrogen‐rich CTFs poses a substantial challenge discovering high‐performance CTFs. To address this challenge, machine‐learning approach is developed to rationally design CTFs, which subsequently validated through experimental methods. A framework employed based on special orthogonal group three dimensions (SO(3))‐invariant graph neural networks predict photocatalytic properties structures. This achieves exceptionally high accuracies with R 2 scores exceeding 0.98. From dataset 14920 structures, identifies 45 candidates. Guided these predictions, novel CTF structure, pyridine‐2,5‐dicarbaldehyde (CTF‐DCPD) selected and successfully synthesized, exhibits an ultrahigh hydrogen evolution rate 17.70 mmol g −1 h . significantly surpasses that widely studied CTF‐1,4‐dicyanobenzene (CTF‐DCB, 10.41 ). work provides new paradigm machine learning accelerate materials development, can be generalized development other functional materials.
Язык: Английский
Процитировано
3Journal of Colloid and Interface Science, Год журнала: 2024, Номер 680, С. 506 - 515
Опубликована: Ноя. 5, 2024
Язык: Английский
Процитировано
3Fuel, Год журнала: 2024, Номер 382, С. 133718 - 133718
Опубликована: Ноя. 15, 2024
Язык: Английский
Процитировано
1ChemPhotoChem, Год журнала: 2024, Номер unknown
Опубликована: Авг. 27, 2024
Abstract H 2 S and CO are common coexisted gases widely existing in natural gas resources, they need to be treated harmlessly. The traditional Claus treatment process only focuses on but ignores . This article systematically conducted theoretical thermodynamic research the thermocatalytic conversion of It was found that increasing reaction temperature ratio would have a positive impact reaction, while pressure lead decrease rate reactants product yield, introducing COS into feed could promoting effect reaction. Furthermore, 5 %Mo/Al O 3 catalyst used preliminarily explore thermal photothermal catalysis for conversion. results showed significantly promoted production syngas (H CO), suppressed contrast catalysis. indicates introduction light effectively convert high‐value syngas, providing important reference value further
Язык: Английский
Процитировано
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