Journal of Chemical Information and Modeling, volume 64, issue 9, pages 3733-3743

Machine Learning-Based Prediction of Reduction Potentials for Pt^IV Complexes

V. Vigna ¹

Tânia F.G.G. Cova ²

Sandra C. C. Nunes ²

Alberto A. C. C. Pais ²

Emilia Sicilia ¹

PROMOCS Laboratory, Department of Chemistry and Chemical Technologies, University of Calabria, Arcavacata di Rende87036,Italy |

Coimbra Chemistry Centre, Department of Chemistry, Institute of Molecular Sciences (IMS), Faculty of Sciences and Technology, University of Coimbra, Coimbra 3004-535,Portugal |

Publication type: Journal Article

Publication date: 2024-04-29

American Chemical Society (ACS)

Journal: Journal of Chemical Information and Modeling

scimago Q1

SJR: 1.396

CiteScore: 9.8

Impact factor: 5.6

ISSN: 15499596, 1549960X

DOI: 10.1021/acs.jcim.4c00315

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Publisher

American Chemical Society (ACS)

Journal

Journal of Chemical Information and Modeling

scimago Q1

SJR

1.396

CiteScore

9.8

Impact factor

5.6

ISSN

15499596 (Print)

1549960X (Electronic)

Profiles

Sicilia, Emilia

Machine Learning-Based Prediction of Reduction Potentials for PtIV Complexes

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Journals

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Machine Learning-Based Prediction of Reduction Potentials for Pt^IV Complexes