Bulk and surface DFT investigations of inorganic halide perovskites screened using machine learning and materials property databases D Jain, S Chaube, P Khullar, SG Srinivasan, B Rai Physical Chemistry Chemical Physics 21 (35), 19423-19436, 2019 | 66 | 2019 |
Applied machine learning for predicting the lanthanide-ligand binding affinities S Chaube, S Goverapet Srinivasan, B Rai Scientific reports 10 (1), 14322, 2020 | 24 | 2020 |
Multiscale analysis of large-strain deformation behaviour of random cross-linked elastomers S Chaube, S Mishra, S Maiti, B Rai Molecular Simulation 45 (2), 111-119, 2019 | 7 | 2019 |
Modelling of columnar-to-equiaxed transition and inclusion distribution in continuously cast steel billets S Chaube, G Tennyson, A Singh Transactions of the Indian Institute of Metals 68, 1207-1213, 2015 | 5 | 2015 |
A statistical learning framework for accelerated bandgap prediction of inorganic compounds S Chaube, P Khullar, S Goverapet Srinivasan, B Rai Journal of Electronic Materials 49 (1), 752-762, 2020 | 4 | 2020 |
Systems and methods for determining properties of composite materials for predicting behaviour of structures S Maiti, AG Salvi, B Rai, S Mishra, S Chaube, PG Basavarsu US Patent 10,977,398, 2021 | 2 | 2021 |
Mathematical modelling of morphological transition and spot segregation in continuously-cast high carbon steel billets S Chaube International Journal of Engineering Systems Modelling and Simulation 10 (1 …, 2018 | 2 | 2018 |
Multiscale Modeling of Hyperelastic Deformation and Related Microstructural Properties of Random Cross-Linked Elastomers BR S Mishra, S Chaube, S Maiti AIChE Annual Meeting proceedings 2018 (Paper ID - 567d), 2018 | | 2018 |
Investigating macrosegregation and inclusion-front interaction in continuously-cast steel slabs S Chaube Proceedings of the Tenth International Conference on Engineering …, 2018 | | 2018 |
NUMERICAL ANALYSIS OF STEEL SOLIDIFICATION AND PARTICLE ENTRAPMENT IN A CONTINUOUS BILLET CASTER S Chaube, V Bajpai Proceedings of CHT-17 ICHMT International Symposium on Advances in …, 2017 | | 2017 |
Multimodal Ai Framework for the Prediction of High-Potential Product Listings in E-Commerce: Navigating the Cold-Start Challenge S Chaube, R Kar, S Gupta, M Kant Available at SSRN 4756947, 0 | | |
Leveraging Co-browse Information for Explainable Product Clustering in the Attribute Space S Gupta, N Kabra, S Chaube, M Kant | | |