| Reference Type | Journal (article/letter/editorial) |
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| Title | Characteristics of Impactful Machine Learning Contributions to The Journal of Physical Chemistry |
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| Journal | The Journal of Physical Chemistry A |
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| Authors | Ferguson, Andrew L. | Author |
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| Pfaendtner, Jim | Author |
| Year | 2023 (January 19) | Volume | 127 |
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| Issue | 2 |
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| Publisher | American Chemical Society (ACS) |
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| DOI | doi:10.1021/acs.jpca.2c08702Search in ResearchGate |
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| Generate Citation Formats |
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| Mindat Ref. ID | 15677950 | Long-form Identifier | mindat:1:5:15677950:2 |
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| GUID | 0 |
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| Full Reference | Ferguson, Andrew L., Pfaendtner, Jim (2023) Characteristics of Impactful Machine Learning Contributions to The Journal of Physical Chemistry. The Journal of Physical Chemistry A, 127 (2) 415-417 doi:10.1021/acs.jpca.2c08702 |
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| Plain Text | Ferguson, Andrew L., Pfaendtner, Jim (2023) Characteristics of Impactful Machine Learning Contributions to The Journal of Physical Chemistry. The Journal of Physical Chemistry A, 127 (2) 415-417 doi:10.1021/acs.jpca.2c08702 |
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| In | (2023, January) The Journal of Physical Chemistry A Vol. 127 (2) American Chemical Society (ACS) |
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