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Roy, Diptendu, Das, Amitabha, Manna, Souvik, Pathak, Biswarup (2023) A Route Map of Machine Learning Approaches in Heterogeneous CO2 Reduction Reaction. The Journal of Physical Chemistry C, 127 (2) 871-881 doi:10.1021/acs.jpcc.2c06924

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Reference TypeJournal (article/letter/editorial)
TitleA Route Map of Machine Learning Approaches in Heterogeneous CO2 Reduction Reaction
JournalThe Journal of Physical Chemistry C
AuthorsRoy, DiptenduAuthor
Das, AmitabhaAuthor
Manna, SouvikAuthor
Pathak, BiswarupAuthor
Year2023 (January 19)Volume127
Issue2
PublisherAmerican Chemical Society (ACS)
DOIdoi:10.1021/acs.jpcc.2c06924Search in ResearchGate
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Mindat Ref. ID15678988Long-form Identifiermindat:1:5:15678988:4
GUID0
Full ReferenceRoy, Diptendu, Das, Amitabha, Manna, Souvik, Pathak, Biswarup (2023) A Route Map of Machine Learning Approaches in Heterogeneous CO2 Reduction Reaction. The Journal of Physical Chemistry C, 127 (2) 871-881 doi:10.1021/acs.jpcc.2c06924
Plain TextRoy, Diptendu, Das, Amitabha, Manna, Souvik, Pathak, Biswarup (2023) A Route Map of Machine Learning Approaches in Heterogeneous CO2 Reduction Reaction. The Journal of Physical Chemistry C, 127 (2) 871-881 doi:10.1021/acs.jpcc.2c06924
In(2023, January) The Journal of Physical Chemistry C Vol. 127 (2) American Chemical Society (ACS)

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Das, Arunendu, Roy, Diptendu, Das, Amitabha, Pathak, Biswarup (2024) Machine Learning-Enhanced Screening of Single-Atom Alloy Clusters for Nitrogen Reduction Reaction. ACS Applied Materials & Interfaces, 16 (43). doi:10.1021/acsami.4c12184
Roy, Diptendu, Charan Mandal, Shyama, Das, Amitabha, Pathak, Biswarup (2024) Unravelling CO2 Reduction Reaction Intermediates on High Entropy Alloy Catalysts: An Interpretable Machine Learning Approach to Establish Scaling Relations. Chemistry – A European Journal, 30 (6) doi:10.1002/chem.202302679
Roy, Diptendu, Das, Amitabha, Pathak, Biswarup (2024) Conformal active learning-aided screening of ligand-protected Cu-nanoclusters for CO2 reduction reactions. Journal of Materials Chemistry A, 12 (42). doi:10.1039/d4ta03728f
Mahal, Eti, Roy, Diptendu, Manna, Surya Sekhar, Pathak, Biswarup (2023) Machine learning-driven prediction of band-alignment types in 2D hybrid perovskites. Journal of Materials Chemistry A, 11 (43) 23547-23555 doi:10.1039/d3ta05186b
Roy, Diptendu, Mandal, Shyama Charan, Pathak, Biswarup (2022) Machine Learning Assisted Exploration of High Entropy Alloy-Based Catalysts for Selective CO2 Reduction to Methanol. The Journal of Physical Chemistry Letters, 13 (25) 5991-6002 doi:10.1021/acs.jpclett.2c00929
Manna, Souvik, Paul, Poulami, Manna, Surya Sekhar, Das, Sandeep, Pathak, Biswarup (2025) Utilizing Machine Learning to Advance Battery Materials Design: Challenges and Prospects. Chemistry of Materials, 37 (5). doi:10.1021/acs.chemmater.4c03486
Sharma, Rahul Kumar, Nair, Akhil S., Bharadwaj, Nishchal, Roy, Diptendu, Pathak, Biswarup (2023) Role of Fluxionality and Metastable Isomers in the ORR Activity: A Case Study. The Journal of Physical Chemistry C, 127 (1) 217-228 doi:10.1021/acs.jpcc.2c06265
Manna, Surya Sekhar, Manna, Souvik, Pathak, Biswarup (2023) Molecular dynamics-machine learning approaches for the accurate prediction of electrochemical windows of ionic liquid electrolytes for dual-ion batteries. Journal of Materials Chemistry A, 11 (40) 21702-21712 doi:10.1039/d3ta04310j
Pandit, Neeraj Kumar, Roy, Diptendu, Mandal, Shyama Charan, Pathak, Biswarup (2022) Rational Designing of Bimetallic/Trimetallic Hydrogen Evolution Reaction Catalysts Using Supervised Machine Learning. The Journal of Physical Chemistry Letters, 13 (32) 7583-7593 doi:10.1021/acs.jpclett.2c01401
Manna, Souvik, Manna, Surya Sekhar, Das, Sandeep, Pathak, Biswarup (2023) Metal-solvent interaction contribution on voltage for metal ion battery: An interpretable machine learning approach. Electrochimica Acta, 467. 143148 doi:10.1016/j.electacta.2023.143148
Bharadwaj, Nishchal, Das, Sandeep, Nair, Akhil S., Pathak, Biswarup (2023) Mechanistic Study of Solvent-Mediated Oxygen Reduction Reaction/Oxygen Evolution Reaction for Li-Air Battery Applications. The Journal of Physical Chemistry C, 127 (21) 10069-10076 doi:10.1021/acs.jpcc.3c00659
 
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