Get started
Author

Diptendu Roy

Observed name: Roy, Diptendu
ORCID: 0000-0001-7718-3018
Observed ORCID: 0000-0001-7718-3018
OpenAlex ID: A5041653256
Machine Learning-Driven High-Throughput Screening of Alloy-Based Catalysts for Selective CO 2 Hydrogenation to Methanol
2021 · Diptendu Roy, Shyama Charan Mandal, et al. · ACS Applied Materials & Interfaces · 123
Machine Learning Assisted Exploration of High Entropy Alloy-Based Catalysts for Selective CO 2 Reduction to Methanol
2022 · Diptendu Roy, Shyama Charan Mandal, et al. · The Journal of Physical Chemistry Letters · 113
Rational Designing of Bimetallic/Trimetallic Hydrogen Evolution Reaction Catalysts Using Supervised Machine Learning
2022 · Neeraj Kumar Pandit, Diptendu Roy, et al. · The Journal of Physical Chemistry Letters · 56
Developments of the heterogeneous and homogeneous CO2 hydrogenation to value-added C2+-based hydrocarbons and oxygenated products
2022 · Shyama Charan Mandal, Amitabha Das, et al. · Coordination Chemistry Reviews · 46
Silver Nanoparticle-Decorated Defective Zr-Based Metal–Organic Frameworks for Efficient Electrocatalytic Carbon Dioxide Reduction with Ultrahigh Mass Activity
2023 · Ravari Kandy Aparna, Vishnu Surendran, et al. · ACS Applied Energy Materials · 34
Capacity prediction of K-ion batteries: a machine learning based approach for high throughput screening of electrode materials
2022 · Souvik Manna, Diptendu Roy, et al. · Materials Advances · 32
PDF
A Route Map of Machine Learning Approaches in Heterogeneous CO2 Reduction Reaction
2023 · Diptendu Roy, Amitabha Das, et al. · The Journal of Physical Chemistry C · 27
Metal‐Free Electrocatalytic Alkaline Water Splitting by Porous Macrocyclic Proton Sponges
2024 · Ananda Basak, Arun Karmakar, et al. · Angewandte Chemie International Edition · 22
Harnessing the Potential of Machine Learning to Optimize the Activity of Cu-Based Dual Atom Catalysts for CO2 Reduction Reaction
2024 · Amitabha Das, Diptendu Roy, et al. · ACS Materials Letters · 21
Role of Fluxionality and Metastable Isomers in the ORR Activity: A Case Study
2023 · Rahul Kumar Sharma, Akhil S. Nair, et al. · The Journal of Physical Chemistry C · 18
Machine Learning Aided Interpretable Approach for Single Nucleotide-Based DNA Sequencing using a Model Nanopore
2022 · Milan Kumar Jena, Diptendu Roy, et al. · The Journal of Physical Chemistry Letters · 17
Artificially Intelligent Nanogap for Rapid DNA Sequencing: A Machine Learning Aided Quantum Tunneling Approach
2023 · Milan Kumar Jena, Diptendu Roy, et al. · ACS Materials Letters · 15
Unravelling CO2 Reduction Reaction Intermediates on High Entropy Alloy Catalysts: An Interpretable Machine Learning Approach to Establish Scaling Relations
2023 · Diptendu Roy, Shyama Charan Mandal, et al. · Chemistry - A European Journal · 13
PDF
Machine learning-driven prediction of band-alignment types in 2D hybrid perovskites
2023 · Eti Mahal, Diptendu Roy, et al. · Journal of Materials Chemistry A · 13
PDF
Machine Learning-Enhanced Screening of Single-Atom Alloy Clusters for Nitrogen Reduction Reaction
2024 · Arunendu Das, Diptendu Roy, et al. · ACS Applied Materials & Interfaces · 11
Mining Chemical Space with Generative Models for Battery Materials
2025 · Chiku Parida, Diptendu Roy, et al. · Batteries & Supercaps · 10
PDF
Machine Learning-Driven Screening of Atomically Precise Pure Metal Nanoclusters for Oxygen Reduction
2025 · Nishchal Bharadwaj, Diptendu Roy, et al. · ACS Materials Letters · 9
Machine learning-based screening of Mn-PNP catalysts for the CO 2 reduction reaction using a region-wise ligand-encoded feature matrix
2024 · Amitabha Das, Diptendu Roy, et al. · Energy Advances · 8
PDF
Unlocking the efficiency of nonaqueous Li–air batteries through the synergistic effect of dual metal site catalysts: an interpretable machine learning approach
2024 · Nishchal Bharadwaj, Surya Sekhar Manna, et al. · Journal of Materials Chemistry A · 8
Energy level alignments between organic and inorganic layers in 2D layered perovskites: conjugation vs . substituent
2023 · Eti Mahal, Shyama Charan Mandal, et al. · Nanoscale · 6
From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
2026 · Roy, Aritra, Shen, Kevin, et al. · arXiv (Cornell University) · 5
PDF
Conformal active learning-aided screening of ligand-protected Cu-nanoclusters for CO 2 reduction reactions
2024 · Diptendu Roy, Amitabha Das, et al. · Journal of Materials Chemistry A · 5
Synthesis of 1-indolyl-3,5,8-substituted γ-carbolines: one-pot solvent-free protocol and biological evaluation
2021 · Premansh Dudhe, Mena Asha Krishnan, et al. · Beilstein Journal of Organic Chemistry · 5
PDF
Stable Dimer Intermediates during Intercluster Reactions of Atomically Precise Nanoclusters
2025 · Swetashree Acharya, Jayoti Roy, et al. · The Journal of Physical Chemistry C · 3
Dynamic Surface Evolution and O Diffusion in High-Index Cu 2 O Surfaces for Enhanced Electrochemical CO 2 Reduction
2025 · Priyanka Ghosh, Diptendu Roy, et al. · The Journal of Physical Chemistry C · 2
Works count: 29
Citation count: 624
H-index: 13
I10-index: 16
Year
Topic
Type