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Development of deep learning framework to predict physicochemical properties for Ionic liquids
(
Elsevier
, 2023 , Book chapter)
In this paper, a deep learning-based group contribution approach has been developed to identify the optimum structure for ionic liquids (ILs) and to maximize the CO2 absorption capacity. The suggested methodology demonstrates ...
Chemical, physical, and morphological characteristics of nanomaterials for CO2 capture and conversion
(
Elsevier
, 2022 , Book chapter)
The major cause of global warming and ocean acidification are due to the anthropogenic emissions of CO2 from industrial development. Till date, various mitigation strategies had been proposed for CO2 capture from different ...
Nanotechnology for Defence Applications
(
Springer Nature
, 2022 , Book chapter)
Currently, most militaries of the advanced countries are utilizing nanotechnology in researches, projects, and applications. Nanotechnology can provide the army with stronger and lighter ware, supports nanomedicines and ...