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dalerxli's Projects

18369 icon 18369

18.369/8.315 - Mathematical Methods in Nanophotonics course

1d-pinn-reconstruction icon 1d-pinn-reconstruction

This is the code for "Neural Network Reconstruction of Plasma Space-Time" by C.Bard and J.Dorelli (DOI: 10.3389/fspas.2021.732275). It is a Physics-Informed Transformer Neural Network which was used to reconstruct one-dimensional (M)HD shocktubes from partial samples. Includes source code, data, and jupyter notebooks for scientific reproduction

1dpyhc icon 1dpyhc

A python code to calculate optical properties of 1D Photonic Crystals

2-layer-nn icon 2-layer-nn

Codes and data for the 2-layer neural network paper

2021_mssp icon 2021_mssp

This repository contains the established models discussed in the paper: "A Physics-constrained Deep Learning Based Approach for Acoustic Inverse Scattering Problems"

2d-pwem-python icon 2d-pwem-python

This is the program created to analyze dispersion properties of 2D photonic crystals of arbitrary shaped unit cell.

2d-sdf-net icon 2d-sdf-net

This is a neural network approximating the two-dimensional signed distance functions of polygons.

3dunetcnn icon 3dunetcnn

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

5g icon 5g

5G Mobile Networks -- Micro-book

a-dda icon a-dda

Automatically exported from code.google.com/p/a-dda

adda icon adda

ADDA - light scattering simulator based on the discrete dipole approximation

adjoint-workshop icon adjoint-workshop

Gentle introduction and demo of the adjoint variable method for electromagnetic inverse design

adjoint_fdtd icon adjoint_fdtd

Meep-based FDTD Implementation of Adjoint Photonic Design Method

adjoint_method icon adjoint_method

Use the adjoint method and gradient descent to find the parameters of an ODE

aggregate icon aggregate

Some python codes to generate various aggregate particles (e.g. ballistic particle cluster, and cluster-cluster).

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