Ashutosh Bharambe
I am a software developer at JuliaHub, where I work on JuliaSim. I received my bachelor's degree in Electronics And Communication Engineering from IIT Roorkee.
Session
07-12
16:10
10min
HighDimPDE.jl: Solving high dimensional PDEs using deep learning
Ashutosh Bharambe
High-dimensional partial differential equations (PDEs) arise in various scientific domains, including physics, engineering, finance, and biology. However, simulating these PDEs is challenging due to the “curse of dimensionality.” As dimensions increase, the computational cost of solving these equations grows exponentially. HighDimPDE.jl is a Julia package that addresses this curse of dimensionality, offering deep learning-based solutions for the simulation of high-dimensional PDEs.
SciML
Method (1.5)