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20062026
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26 citations

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physics.plasm-ph2025★ 1 cited

Hybrid Fourier Neural Operator-Plasma Fluid Model for Fast and Accurate Multiscale Simulations of High Power Microwave Breakdown

Kalp Pandya, Pratik Ghosh, Ajeya Mandikal +2

Modeling and simulation of High Power Microwave (HPM) breakdown, a multiscale phenomenon, is computationally expensive and requires solving Maxwell's equations (EM solver) coupled…

physics.plasm-ph2023★ 10 cited

Deep Learning assisted microwave-plasma interaction based technique for plasma density estimation

Pratik Ghosh, Bhaskar Chaudhury, Shishir Purohit +3

The electron density is a key parameter to characterize any plasma. Most of the plasma applications and research in the area of low-temperature plasmas (LTPs) are based on the accu…

physics.plasm-ph2021★ 12 cited

Efficient Dynamic Mesh Refinement Technique for Simulation of HPM Breakdown induced Plasma Pattern Formation

Pratik Ghosh, Bhaskar Chaudhury

Numerical simulation of the complex plasma dynamics associated with high power, high frequency microwave breakdown at high pressures, leading to the formation of filamentary plasma…

physics.plasm-ph2020★ 19 cited

Extracting Electron Scattering Cross Sections from Swarm Data using Deep Neural Networks

Vishrut Jetly, Bhaskar Chaudhury

Electron-neutral scattering cross sections are fundamental quantities in simulations of low temperature plasmas used for many technological applications today. From these microscop…

physics.plasm-ph2016★ 3 cited

Computational Investigation of Microstrip Antennas in Plasma Environment

Hardik Vyas, Bhaskar Chaudhury, Sanjeev Gupta

Microstrip antennas are extensively used in spacecraft systems and other applications where they encounter a plasma environment. A detailed computational investigation of change in…