DR
DIPTENDU ROY
Technical University of Denmark, Banaras Hindu University, Serampore College Arts Science and Commerce Departments
Research areas: Energy · Renewable Energy, Sustainability and the Environment · Machine Learning in Materials Science · Electrocatalysts for Energy Conversion · CO2 Reduction Techniques and Catalysts
0000-0001-7718-3018
Employment
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Technical University of Denmark Postdoctoral Fellow2025 - 2028
Education
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Banaras Hindu University M.Sc.2017 - 2019
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Serampore College Arts Science and Commerce Departments B.Sc.2014 - 2017
Projects & Funding
Projects & funding information is unavailable.
Publications (27)
- Mining Chemical Space with Generative Models for Battery Materials Save
- Dynamic Surface Evolution and O Diffusion in High-Index Cu2O Surfaces for Enhanced Electrochemical CO2 Reduction Save
- Mining Chemical Space with Generative Modelsfor Battery Materials Save
- Mining Chemical Space with Generative Modelsfor Battery Materials Save
- Stable Dimer Intermediates during Intercluster Reactions of Atomically Precise Nanoclusters Save
- Metal‐Free Electrocatalytic Alkaline Water Splitting by Porous Macrocyclic Proton Sponges Save
- Metal‐Free Electrocatalytic Alkaline Water Splitting by Porous Macrocyclic Proton Sponges Save
- Machine Learning-Driven Screening of Atomically Precise Pure Metal Nanoclusters for Oxygen Reduction Save
- Harnessing the Potential of Machine Learning to Optimize the Activity of Cu-Based Dual Atom Catalysts for CO2 Reduction Reaction Save
- Machine Learning-Enhanced Screening of Single-Atom Alloy Clusters for Nitrogen Reduction Reaction Save
- Unravelling CO2 Reduction Reaction Intermediates on High Entropy Alloy Catalysts: An Interpretable Machine Learning Approach to Establish Scaling Relations Save
- Conformal active learning-aided screening of ligand-protected Cu-nanoclusters for CO2 reduction reactions Save
- Machine learning-based screening of Mn-PNP catalysts for the CO2 reduction reaction using a region-wise ligand-encoded feature matrix Save
- Unlocking the efficiency of nonaqueous Li–air batteries through the synergistic effect of dual metal site catalysts: an interpretable machine learning approach Save
- Artificially Intelligent Nanogap for Rapid DNA Sequencing: A Machine Learning Aided Quantum Tunneling Approach Save
- Silver Nanoparticle-Decorated Defective Zr-Based Metal–Organic Frameworks for Efficient Electrocatalytic Carbon Dioxide Reduction with Ultrahigh Mass Activity Save
- A Route Map of Machine Learning Approaches in Heterogeneous CO2 Reduction Reaction Save
- Role of Fluxionality and Metastable Isomers in the ORR Activity: A Case Study Save
- Energy level alignments between organic and inorganic layers in 2D layered perovskites: conjugation vs. substituent Save
- Machine learning-driven prediction of band-alignment types in 2D hybrid perovskites Save