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physics.comp-ph2023
Physics informed neural network for charged particles surrounded by conductive boundaries
Fatemeh Hafezianzade, Morad Biagooi, SeyedEhsan Nedaaee Oskoee
In this paper, we developed a new PINN-based model to predict the potential of point-charged particles surrounded by conductive walls. As a result of the proposed physics-informed…
physics.comp-ph2023
Performance investigation of supercapacitors with PEO-based gel polymer & ionic liquid electrolytes: Molecular Dynamics Simulation
Nasrin Eyvazi, Davood Abbaszadeh, Morad Biagooi +1
Due to the importance of using supercapacitors in electronic storage devices, improving their efficiency is one of the topics that has attracted the attention of many researchers.…