Jadhao PR, Pandey A, Pant KK, Nigam KDP. Efficient recovery of Cu and Ni from WPCB via alkali leaching approach. J Environ Manage. 2021 Oct 15;296:113154.
doi: 10.1016/j.jenvman.2021.113154. Epub 2021 Jun 30. PMID: 34216905.
Ramdayal Panda, Kamal Kishore Pant, ThalladaBhaskar, Efficient extraction of metals from thermally treated waste printed circuit boards using solid state chlorination: Statistical modeling and optimization, Journal of Cleaner Production, Volume 313, 2021, 127950,
https://doi.org/10.1016/j.jclepro.2021.127950.
R. Panda, K. K. Pant, T. Bhaskar, S. N. Naik, Dissolution of brominated epoxy resin for environment friendly recovery of copper as cupric oxide nanoparticles from waste printed circuit boards using ammonium chloride roasting, Journal of Cleaner Production, 2021, 291, 125928
Shaw, G., S. Dey, H. Kaushal and K. Lal, "Tracking NO2 emission from thermal power plants in North India using TROPIMI data", Atmospheric Environment, 259, 118514, 2021.
TanushreeGanguly, Kurinji L. Selvaraj, Sarath K. Guttikunda, “National Clean Air Programme (NCAP) for Indian cities: Review and outlook of clean air action plans”, Atmospheric Environment: X, 8, 100096, 2020;
https://doi.org/10.1016/j.aeaoa.2020.100096
SargunNagpal, Ridam Pal, AnanyaTyagi, SadhanaTripathi, Aditya Nagori, Saad Ahmad, Hara Prasad Mishra, RintuKutum, TavpriteshSethi*. Genomic Surveillance of COVID-19 Variants with Language Models and Machine Learning. bioRxiv 2021.05.25.445601; doi:
https://doi.org/10.1101/2021.05.25.445601
Ridam Pal, Harshita Chopra, RaghavAwasthi, Harsh Bandhey, Aditya Nagori, Amogh Gulati, PonnurangamKumaraguru, TavpriteshSethi*.Predicting Emerging Themes in Rapidly Expanding COVID-19 Literature with Dynamic Word Embedding Networks and Machine Learning. doi:
https://doi.org/10.1101/2021.01.14.21249855
RaghavAwasthi, Keerat Kaur Guliani, Arshita Bhatt, Mehrab Singh Gill, Aditya Nagori, PonnurangamKumaraguru, TavpriteshSethi*.VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning.
https://arxiv.org/abs/2009.06602
Kaur, K, Garg, A, Cui, X, Singh, S, Panigrahi, BK. Deep learning networks for capacity estimation for monitoring SOH of Li-ion batteries for electric vehicles. Int J Energy Res. 2021; 45: 3113– 3128.
https://doi.org/10.1002/er.6005
Vandana, , Garg, A, Panigrahi, BK. Multi-dimensional digital twin of energy storage system for electric vehicles: A brief review. Energy Storage. 2021;e242.
https://doi.org/10.1002/est2.242
Khalid, M, Ahmad, F, Panigrahi, BK. Design, simulation and analysis of a fast charging station for electric vehicles. Energy Storage. 2021;e263.
https://doi.org/10.1002/est2.263