Machine learning prediction of interaction energies in rigid water clusters S Bose, D Dhawan, S Nandi, RR Sarkar, D Ghosh Physical Chemistry Chemical Physics 20 (35), 22987-22996, 2018 | 18 | 2018 |
Unprecedented solvent induced inter-conversion between monomeric and dimeric silylene–zinc iodide adducts S Yadav, E Sangtani, D Dhawan, RG Gonnade, D Ghosh, SS Sen Dalton Transactions 46 (34), 11418-11424, 2017 | 14 | 2017 |
Antifungal activity of phyto-extracts of Piper longum, Aloe vera, and Withania somnifera against human fungal opportunistic pathogen Candida albicans H Kaur, RR Goyal, A Bhattacharya, R Gupta, NK Lal, B Arora, A Barua, ... DU Journal of Undergraduate Research and Innovation 1, 107-115, 2015 | 14 | 2015 |
Dynamical self-energy mapping (DSEM) for quantum computing D Dhawan, M Metcalf, D Zgid arXiv preprint arXiv:2010.05441, 2020 | 8 | 2020 |
Dynamical self-energy mapping (DSEM) for creation of sparse Hamiltonians suitable for quantum computing D Dhawan, M Metcalf, D Zgid Journal of chemical theory and computation 17 (12), 7622-7631, 2021 | 5 | 2021 |
Sparse-Hamiltonian approach to the time-evolution of molecules on quantum computers C Daniel, D Dhawan, D Zgid, JK Freericks The European Physical Journal Special Topics 230, 1067-1071, 2021 | 4 | 2021 |
Quantum algorithm for imaginary-time green’s functions D Dhawan, D Zgid, M Motta Journal of Chemical Theory and Computation, 2024 | 3 | 2024 |
Hybrid Quantum-Classical Methods for Noisy Intermediate Scaling Quantum Machines D Dhawan | | 2022 |
Dynamical Self-energy mapping for Quantum Computing. D Dhawan, M Metcalf, D Zgid APS March Meeting Abstracts 2021, L32. 007, 2021 | | 2021 |
Supporting information:“Machine Learning Prediction of Interaction Energy in Rigid Water Clusters” S Bose, D Dhawan, S Nandi, RR Sarkar, D Ghosh | | |