| An Algorithm for Many-Objective Optimization with Reduced Objective Computations: A Study in Differential Evolution S Bandyopadhyay, A Mukherjee Evolutionary Computation, IEEE Transactions on 19 (3), 2014 | 128 | 2014 |
| Deep learning model for identifying critical structural motifs in potential endocrine disruptors A Mukherjee, A Su, K Rajan Journal of chemical information and modeling 61 (5), 2187-2197, 2021 | 23 | 2021 |
| Deep learning based prediction of perovskite lattice parameters from Hirshfeld surface fingerprints L Williams, A Mukherjee, K Rajan The Journal of Physical Chemistry Letters 11 (17), 7462-7468, 2020 | 18 | 2020 |
| Quantum signatures for screening metavalent solids D Giri, L Williams, A Mukherjee, K Rajan The Journal of Chemical Physics 154 (12), 2021 | 10 | 2021 |
| Monitoring the role of site chemistry on the formation energy of perovskites via deep learning analysis of Hirshfeld surfaces L Williams, A Mukherjee, A Dasgupta, K Rajan Journal of Materials Chemistry C 9 (34), 11153-11162, 2021 | 8 | 2021 |
| Laplacian graph based approach for uncertainty quantification of large scale dynamical systems A Mukherjee, R Rai, P Singla, T Singh, A Patra 2015 American Control Conference (ACC), 3998-4003, 2015 | 7 | 2015 |
| Comparison of linearization and graph clustering methods for uncertainty quantification of large scale dynamical systems A Mukherjee, R Rai, P Singla, T Singh, A Patra International Journal for Uncertainty Quantification 7 (1), 2017 | 6 | 2017 |
| Non-negative matrix factorization based uncertainty quantification method for complex networked systems A Mukherjee, R Rai, P Singla, T Singh, A Patra International Design Engineering Technical Conferences and Computers and …, 2015 | 4 | 2015 |
| Overlapping clustering based technique for scalable uncertainty quantification in physical systems A Mukherjee, R Rai, P Singla, T Singh, A Patra SIAM/ASA Journal on Uncertainty Quantification 8 (3), 827-859, 2020 | 3* | 2020 |
| Informatics driven materials innovation for a regenerative economy: harnessing NLP for safer chemistry in manufacturing of solar cells D Giri, A Mukherjee, K Rajan REWAS 2022: Developing Tomorrow’s Technical Cycles (Volume I), 11-19, 2022 | 2 | 2022 |
| Modularity optimization for enhancing edge detection in microstructural features using 3D atomic chemical scale imaging A Mukherjee, S Broderick, K Rajan Journal of Vacuum Science & Technology A 38 (3), 2020 | 1 | 2020 |
| Modularity optimization for fast automated detection of solute clusters in atom probe tomography A Mukherjee, SR Broderick, T Zhang, K Rajan Microscopy and Microanalysis 25 (S2), 300-301, 2019 | 1 | 2019 |
| Effect of dem uncertainty on geophysical mass flow via identification of strongly coupled subsystem A Mukherjee, R Rai, P Singla, T Singh, A Patra International Journal for Uncertainty Quantification 9 (6), 2019 | 1 | 2019 |
| Probabilistic Design Miming A Mukherjee, Y Zhang, R Rai International Design Engineering Technical Conferences and Computers and …, 2014 | 1 | 2014 |
| Machine Learning-Aided Property Prediction of Hybrid Organic–Inorganic Perovskites Using Hirshfeld Surface Representations of Crystal Structures L Williams, A Mukherjee, R Dongol, K Rajan The Journal of Physical Chemistry C 127 (24), 11672-11682, 2023 | | 2023 |
| Uncertainty Informed Screening for Safer Solvents used in the Synthesis of Perovskite Based Solar Cells via Machine Learning D Giri, A Mukherjee, K Rajan | | 2022 |
| Identifying Weakly Connected Subsystems in Building Energy Model for Effective Load Estimation in Presence of Parametric Uncertainty A Mukherjee, AK Szweda, A Alegria, R Rai, T Singh arXiv preprint arXiv:2004.08417, 2020 | | 2020 |
| Deep Learning for Multiscale Atomistic Modeling of Multicomponent Crystal Chemistries Coupled with Hirshfeld Surface Analyses KR Arpan Mukherjee, Aparajita Dasgupta, Tianmu Zhang, Scott Broderick 2019 MRS Fall Meeting and Exhibit, 2019 | | 2019 |
| Metal Organic Frameworks Network S Broderick, A Mukherjee, V Venugopal, K Rajan, J Sperhac, ... | | 2019 |
| Metal Organic Frameworks Data Browser E Snitzer, J Sperhac, R Jones-Ivey, S Broderick, K Rajan, A Mukherjee, ... | | 2019 |
Rahul RaiDean's Distinguished Professor, Automotive Engineering and Computer Science, Clemson UniversityVahvistettu sähköpostiosoite verkkotunnuksessa clemson.edu
