Blogging using Pluto.jl notebooks.
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Updated
Oct 31, 2023 - HTML
Blogging using Pluto.jl notebooks.
Solving nonlinear differential equations with differentiable quantum circuits
Graph Neural Network (GNN) based data-driven simulator which learns from PFEM simulation data.
An open-source SciML tool for automated design evaluation & optimization using CFD based analysis
The Rheoinformatic lab website
Built using Overleaf
Using FNO to learning elasticity model of composite materials
experiments to build stable neural networks for physical simulations
This is a Hydrology project.In this project I solved nonlinear partial differential equation which represents movement of water in unsaturated soils.
Presentation for the Julia workshop of TAMU SciML Lab
Physics-Informed Neural Networks for solving various Differential Equations and Inverse Problems
Solving multiphysics inverse problems with Scientific (physics-informed) Machine Learning
This is a repository for my Physics-Informed Neural Networks, designed for solvment of differential equations
A program to solve ordinary differential equations using genetic algorithms
Thesis repository on neural ordinary differential equations used for coarse-graining molecular dynamics
UQ Group (Director: Hadi Meidani)
Explorations into using PINNs to solve the advection equation
A from scratch implementation of a Neural Network in Julia Language. It has educational purposes but intends to be production ready.
Physics-informed neural nets with PyTorch
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