Suliman Khan's Projects
A handy wrapper around common plotting libraries for rendering beams and beam force and moment diagrams.
Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations
Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.
A library for scientific machine learning and physics-informed learning
A python jupyter notebook that solves the Dirac equation using the Leapfrog scheme. The notebook solves the Dirac equation, plots the wave functions over time, plots the probability density over time and current. There is also a gif creator function at the end to help create gifs from the pictures.
MATLAB package providing different finite elements used throughout computational science and engineering for the approximate solution of space-time PDEs.
Finite element beam analysis using Euler-Bernoulli beam theory.
A collection of codes for modelling acoustic and electro-magnetic scattering by fractal screens.
Python library for converting Python calculations into rendered latex.
Fast solver for high frequency scattering problems in 2-dimensions.
FEniCS/DOLFIN modal analysis of Timoshenko beams with FSI coupling using preCICE
MathJax source code for version 3 and beyond
Mathematical library collecting popular quadrature algorithms implemented in MATLAB for fast and accurate approximations of definite integrals.
Numerical methods with MATLAB, mainly for PDEs.
Code for efficient solution of oscillatory ordinary differential equations
A Matlab quadrature routine for oscillatory integrals
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
PetIBM - toolbox and applications of the immersed-boundary method on distributed-memory architectures
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Complex beam PDEs are solved using physics informed neural networks
This repo includes every materials taught in this chilla
Quick notes on Machine Learning. Read on the fly.
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
This is a demo for deep learning for sequence modelling, with some discussions on the theoretical aspects with references to our work.
Code for the Paper "Towards Stability of Radial Basis Function Based Cubature Formulas" by Glaubitz and Reeger
Structural Engineering Modules (Python 2.7 primarily)