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Part 1: Document Description
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Citation |
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Title: |
Related Data for: Catalyst design principle in low temperature methane activation and conversion through machine learning |
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Identification Number: |
doi:10.21979/N9/2MGYW2 |
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Distributor: |
DR-NTU (Data) |
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Date of Distribution: |
2023-10-10 |
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Version: |
1 |
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Bibliographic Citation: |
Liu, Jiyuan, 2023, "Related Data for: Catalyst design principle in low temperature methane activation and conversion through machine learning", https://doi.org/10.21979/N9/2MGYW2, DR-NTU (Data), V1 |
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Citation |
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Title: |
Related Data for: Catalyst design principle in low temperature methane activation and conversion through machine learning |
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Identification Number: |
doi:10.21979/N9/2MGYW2 |
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Authoring Entity: |
Liu, Jiyuan (Nanyang Technological University) |
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Software used in Production: |
VASP |
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Distributor: |
DR-NTU (Data) |
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Access Authority: |
Zhang, Zhonghan |
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Depositor: |
Zhang, Zhonghan |
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Date of Deposit: |
2023-10-10 |
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Holdings Information: |
https://doi.org/10.21979/N9/2MGYW2 |
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Study Scope |
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Keywords: |
Chemistry, Chemistry, Catalyst Machine-learning |
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Abstract: |
data for Catalyst design principle in low temperature methane activation and conversion through machine learning |
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Kind of Data: |
VASP output data |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Label: |
NOR_NiFeCOF.tgz |
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Notes: |
application/x-compressed |
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Label: |
rucl_gdy.tgz |
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Notes: |
application/x-compressed |