| DART: deep learning enabled topological interaction model for energy prediction of metal clusters and its application in identifying unique low energy isomers R Modee, S Agarwal, A Verma, K Joshi, UD Priyakumar Physical Chemistry Chemical Physics 23 (38), 21995-22003, 2021 | 13 | 2021 |
| Disordered but Efficient: Understanding the Role of Structure and Composition of the Co–Pt Alloy on the Electrocatalytic Methanol Oxidation Reaction SB Dalavi, S Agarwal, P Deshpande, K Joshi, BLV Prasad The Journal of Physical Chemistry C 125 (14), 7611-7624, 2021 | 9 | 2021 |
| Understanding the ml black box with simple descriptors to predict cluster–adsorbate interaction energy S Agarwal, S Mehta, K Joshi New Journal of Chemistry 44 (20), 8545-8553, 2020 | 8 | 2020 |
| Mixed metal oxide: A new class of catalyst for methanol activation S Mehta, S Agarwal, N Kenge, SP Mekala, V Patil, T Raja, K Joshi Applied Surface Science 534, 147449, 2020 | 6 | 2020 |
| Looking Beyond Adsorption Energies to Understand Interactions at Surface Using Machine Learning S Agarwal, K Joshi, S Agrawal | 2 | 2021 |
| DART: Deep Learning Enabled Topological Interaction Model for Energy Prediction of Metal Clusters and its Application in Identifying Unique Low Energy Isomers R Modee, S Agarwal, A Verma, K Joshi, UD Priyakumar | | 2021 |
| Combining DFT with ML to study size specific interactions between metal clusters and adsorbates S Mehta, S Agarwal, K Joshi arXiv preprint arXiv:1812.04932, 2018 | | 2018 |
U. Deva PriyakumarProfessor, IIIT Hyderabad在 iiit.ac.in 的电子邮件经过验证
