Profile | Dr. Biswarup Pathak

Machine Learning:

Nanoclusters | Machine Learning | CO2 Reduction | Batteries | DNA Sequencing

★. Machine Learning-based Screening of Mn-PNP Catalysts for CO₂ Reduction Reaction Using Region-wise Ligand-encoded Feature Matrix, Amitabha Das, Diptendu Roy, Shyama C. Mandal, Biswarup Pathak, Energy Advances, 3, 854-860, 2024.

★. Machine Learning Driven Ionic Liquids as Electrolytes for the Advancement of High-Voltage Dual-Ion Battery, Surya S. Manna, Biswarup Pathak, Chemistry of Materials, 36, 7, 3191-3204, 2024.

★. 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.
|Front Cover Page Article

★. Unraveling CO₂ Reduction Reaction Intermediates on High Entropy Alloy Catalysts: An Interpretable Machine Learning Approach to Establish Scaling Relations, Diptendu Roy, Shyama C. Mandal, Amitabha Das and Biswarup Pathak, Chemistry - A European Journal, 30, 6, e202302679, 2024.

★. 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.

★. Machine Learning Driven Prediction of Band Alignment Types in 2D Hybrid Perovskites, Eti Mahal, Diptendu Roy, Surya S. Manna and Biswarup Pathak, Journal of Materials Chemistry A, 11, 23547-23555, 2023.

★. Deciphering DNA Nucleotide Sequence and their Rotation Dynamics with Interpretable Machine Learning Integrated C₃N Nanopore, Milan K. Jena, Sneha Mittal, Surya S. Manna and Biswarup Pathak, Nanoscale, 11, 21702-21712, 2023.

★. 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.

★. 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.

★. 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.

★. Artificially Intelligent Nanogap for Rapid DNA Sequencing: A Machine Learning Aided Quantum Tunneling Approach, Milan K. Jena, Diptendu Roy, Sneha Mittal and Biswarup Pathak, ACS Materials Letters, 5, 2488-2498, 2023.

★. Protein Sequencing with Artificial Intelligence: Machine Learning Integrated Phosphorene Nanoslit, Sneha Mittal, Milan K. Jena and Biswarup Pathak, Chemistry - A European Journal, 29, 59, e202301667, 2023.

★. 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.

★. Development of an Artificially Intelligent Nanopore for High-Throughput DNA Sequencing with a Machine-Learning-Aided Quantum-Tunneling Approach, Milan K. Jena, and Biswarup Pathak, Nano Letters, 2023.
|Front Cover Page Article

★. 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), 2022.

★. Machine Learning Aided Interpretable Approach for Single Nucleotide based DNA Sequencing using a Model Nanopore, Milan K. Jena, Diptendu Roy and Biswarup Pathak, 13, 50, 11818-11830 The Journal of Physical Chemistry Letters, 13, 50, 11818-11830 2022.

★. 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.

★. Rational Designing of Bimetallic/Trimetallic Hydrogen Evolution Reaction Catalysts using Supervised Machine Learning, Neeraj K. Pandit, Diptendu Roy, Shyama C. Mandal and Biswarup Pathak, The Journal of Physical Chemistry Letters, 13, 7583-7593, 2022.
|Front Cover Page Article

★. Machine Learning Assisted Exploration of High Entropy Alloy-Based Catalysts for Selective CO₂ Reduction to Methanol, Diptendu Roy, Shyama C. Mandal and Biswarup Pathak, The Journal of Physical Chemistry Letters, 2022.
|Front Cover Page Article

★. Machine Learning Driven High Throughput Screening of Alloy-based Catalysts for Selective CO2 Hydrogenation to Methanol, Diptendu Roy, S. C. Mandal, and Biswarup Pathak, ACS Applied Materials & Interfaces, 13, 47, 56151-56163, 2021.