This is a Hydrology project.In this project I solved nonlinear partial differential equation which represents movement of water in unsaturated soils.
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Updated
Sep 1, 2023 - Jupyter Notebook
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
Blogging using Pluto.jl notebooks.
Solving nonlinear differential equations with differentiable quantum circuits
Solving multiphysics inverse problems with Scientific (physics-informed) Machine Learning
A program to solve ordinary differential equations using genetic algorithms
Non-intrusive Reduced Order Modeling package
Physics-informed refinement learning for equation discovery
Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included.
A from scratch implementation of a Neural Network in Julia Language. It has educational purposes but intends to be production ready.
Source code of "On the influence of over-parameterization in manifold based surrogates and deep neural operators".
Graph Neural Network (GNN) based data-driven simulator which learns from PFEM simulation data.
Spatial and temporal epidemiology data mining flow tools including data processing and analysis, model setup and simulation, inference and evaluation. Focusing on state-of-the-art methods such as universal differential equations, epidemiology-informed deep learning methods.
An open-source SciML tool for automated design evaluation & optimization using CFD based analysis
Physics-informed neural nets with PyTorch
The Rheoinformatic lab website
UQ Group (Director: Hadi Meidani)
This is the official PyTorch codebase for the ACL 2023 paper: "What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization".
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