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cs.LG2023
Bayesian Physics-Informed Neural Network for the Forward and Inverse Simulation of Engineered Nano-particles Mobility in a Contaminated Aquifer
Shikhar Nilabh, Fidel Grandia
Globally, there are many polluted groundwater sites that need an active remediation plan for the restoration of local ecosystem and environment. Engineered nanoparticles (ENPs) hav…
cs.LG2023★ 1 cited
Efficient Training of Physics-Informed Neural Networks with Direct Grid Refinement Algorithm
Shikhar Nilabh, Fidel Grandia
This research presents the development of an innovative algorithm tailored for the adaptive sampling of residual points within the framework of Physics-Informed Neural Networks (PI…
cs.LG2022
Dynamic weights enabled Physics-Informed Neural Network for simulating the mobility of Engineered Nano-particles in a contaminated aquifer
Shikhar Nilabh, Fidel Grandia
Numerous polluted groundwater sites across the globe require an active remediation strategy to restore natural environmental conditions and local ecosystem. The Engineered Nano-par…