neuralpde jl

We have hosted the application neuralpde jl in order to run this application in our online workstations with Wine or directly.

Quick description about neuralpde jl:

NeuralPDE.jl is a Julia library for solving partial differential equations (PDEs) using physics-informed neural networks and scientific machine learning. Built on top of the SciML ecosystem, it provides a flexible and composable interface for defining PDEs and training neural networks to approximate their solutions. NeuralPDE.jl enables hybrid modeling, data-driven discovery, and fast PDE solvers in high dimensions, making it suitable for scientific research and engineering applications.

Features:

• Solves PDEs using physics-informed neural networks (PINNs)
• Supports symbolic PDE definition via Symbolics.jl
• Integrates with Flux.jl and SciML solvers
• Enables hybrid and data-driven modeling
• Handles high-dimensional and nonlinear systems
• GPU acceleration and automatic differentiation support

Programming Language: Julia.
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