Liu, Zhao-Qing; Deng, Zhe; Jiang, Hong (2025) Machine learning methods for theoretical heterogeneous catalysis: current status and challenges. Chinese Science Bulletin, 70 (24). doi:10.1360/tb-2024-1207
| Reference Type | Journal (article/letter/editorial) | ||
|---|---|---|---|
| Title | Machine learning methods for theoretical heterogeneous catalysis: current status and challenges | ||
| Journal | Chinese Science Bulletin | ||
| Authors | Liu, Zhao-Qing | Author | |
| Deng, Zhe | Author | ||
| Jiang, Hong | Author | ||
| Year | 2025 (August 1) | Volume | 70 |
| Issue | 24 | ||
| Publisher | Science China Press., Co. Ltd. | ||
| DOI | doi:10.1360/tb-2024-1207Search in ResearchGate | ||
| Generate Citation Formats | |||
| Mindat Ref. ID | 18831791 | Long-form Identifier | mindat:1:5:18831791:8 |
| GUID | 0 | ||
| Full Reference | Liu, Zhao-Qing; Deng, Zhe; Jiang, Hong (2025) Machine learning methods for theoretical heterogeneous catalysis: current status and challenges. Chinese Science Bulletin, 70 (24). doi:10.1360/tb-2024-1207 | ||
| Plain Text | Liu, Zhao-Qing; Deng, Zhe; Jiang, Hong (2025) Machine learning methods for theoretical heterogeneous catalysis: current status and challenges. Chinese Science Bulletin, 70 (24). doi:10.1360/tb-2024-1207 | ||
| In | (2025, August) Chinese Science Bulletin Vol. 70 (24). Science China Press., Co. Ltd. | ||
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