13. Harnessing the Potential of Machine Learning to Optimize the Activity of Cu-Based Dual Atom Catalysts for CO2 Reduction Reaction, Amitabha Das, Diptendu Roy, Souvik Manna and Biswarup Pathak, ACS Materials Letters, 2024.
12. Integration of Density Functional Theory and Machine Learning for Electrolyte Optimization in High-Voltage Dual-Ion Battery Design, Poulami Paul, Sandeep Das, Souvik Manna, Surya S. Manna and Biswarup Pathak, ACS Applied Materials & Interfaces, 16, 33, 43591-43601, 2024.
11. Lithiophilic Dibenzamide Linkages to Impart Lithium Storage Capacity in Porous Polybenzamides, Shayan Karak, Himanshi Singh, Arup Biswas, Satyadip Paul, Souvik Manna, Yusuke Nishiyama, Biswarup Pathak*, Abhik Banerjee*, Rahul Banerjee*, Journal of the American Chemical Society, 146, 29, 20183–20192, 2024.
10. Integrated Supervised and Unsupervised Machine Learning Approach to Map the Electrochemical Windows Over 4,500 Solvents for Battery Applications, Souvik Manna, Surya S. Manna and Biswarup Pathak, ACS Applied Materials & Interfaces, 16, 32, 42138-42152, 2024.
9. Machine Learning Assisted Screening of MXene with Superior Anchoring Effect in Al-S Batteries, Souvik Manna, Amitabha Das, Sandeep Das and Biswarup Pathak, ACS Materials Letters , 6, 572-582, 2024.
8. Unlocking the Potential of Dual Ion Batteries: Identifying Polycyclic Aromatic Hydrocarbon Cathodes and Intercalating Salt Combinations through Machine Learning, Sandeep Das, Souvik Manna and Biswarup Pathak, ACS Applied Materials & Interfaces,15, 47, 54520-54529, 2023.
7. Artificial Intelligence Aided Recognition and Classification of DNA Nucleotides Using MoS2 Nanochannel, Sneha Mittal, Souvik Manna, Milan K. Jena and Biswarup Pathak, Digital Discovery, 2, 1589-1600, 2023.
6. Molecular Dynamics-Machine Learning Approaches for the Accurate Predictions of Electrochemical Windows of Ionic Liquids Electrolytes for Dual-Ion Batteries, Surya S. Manna, Souvik Manna and Biswarup Pathak, Journal of Materials Chemistry A,11, 21702-21712, 2023.
5. A Route Map of Machine Learning Approaches in Heterogeneous CO2 Reduction Reaction, Diptendu Roy, Amitabha Das, Souvik Manna and Biswarup Pathak, The Journal of Physical Chemistry C (Perspective | Invited), 127, 2, 871- 881, 2023.
4. Decoding both DNA and Methylated DNA Using a MXene-Based Nanochannel Device: Supervised Machine Learning Assisted Exploration, Sneha Mittal, Souvik Manna, Milan K. Jena and Biswarup Pathak, ACS Materials Letters, 5, 1570-1580, 2023.
3. Metal-Solvent Interaction Contribution on Voltage for Metal Ion Battery: An Interpretable Machine Learning Approach, Souvik Manna, Surya S. Manna, Sandeep Das and Biswarup Pathak, Electrochimica Acta, 467, 143148, 2023.
2. Machine Learning Prediction of Transmission Function for Protein Sequencing with Graphene Nanoslit, Sneha Mittal, Souvik Manna, and Biswarup Pathak, ACS Applied Materials & Interfaces, 14, 46, 51645-51655, 2022.
Capacity prediction of K-ion batteries: A machine learning based approach for high throughput screening of electrode materials, Souvik Manna, Diptendu Roy, Sandeep Das and Biswarup Pathak, Materials Advances, 3, 7833-7845, 2022.