He has been working on the device fabrications of the DSSC and ambient perovskite since 2016. In DSSC, device fabrication; invented a new method (Electrosorption) for dye loading, which took a short span of time (1 h) for dye in-take to TiO2 surface, in addition, performance improved up to 35 % based on the type of dye.
He has been working on Metal ion (lithium/ Sodium ion) batteries anode, cathode materials, and solid-state electrolytes for energy storage applications for the better future. He also implemented ML the identifying the better solid electrolytes for the Metal batteries to control the dendrite growth. He is also working on the formation cycles for the large-scale Li-ion batteries for electrical vehicles (EV) with collaboration.
He is also working on a supercapacitor such as symmetric (carbon-based), asymmetric (Metal oxide + Carbon), and hybrid (Zn-ion) supercapacitors. He demonstrated a high Energy density of 60 Wh/kg @ 551 W/kg (power density) in an asymmetric supercapacitor using a 3D Prussian blue decorated porous carbon composite electrode.
He has also demonstrated the photo rechargeable supercapacitor using photocatalytic materials such as metal oxynitrides and demonstrated it's self-charging voltage of 1.2 V with 1000 cycles under light with 1.3 % power conversion efficiency.
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He excel in the Density Functional Theory (DFT). Initially, He started Gaussian to optimize the geometry for the simple molecules for DSSC, catalysis, and flow battery applications. Later, He established the VASP in my present lab with the help of various tutorials and workshops. Now, he is able to run the calculations for the adsorption energies, density of states, and other calculations for the DSSC, flow batteries, and Li/Na batteries.
During the Covid pandemic, He has started utilizing the machine learning tool in our area of research. Starting from the DSSC, he moved to supercapacitors Li/Na batteries applications. He use the Python script as a supporting platform to run the codes in the jupyter notebook. He has analyzed both supervised and unsupervised set molecules in different applications.