Pinned Repositories
CDA-1
Coupled Dipole Approximation
ceviche
:shrimp: Electromagnetic Simulation + Automatic Differentiation
CST
Co-simulation of Matlab and CST
deepxde_calculations
Solving PDEs with DeepXDE PINNs
DL-SM
Physics of Electromagnetic Scattering Models explored with Deep Learning tools.
maxwellfdfd-ai
Simulation acceleration for the transmittance of electromagnetic waves in 2D slit arrays using deep learning
OnTheApplicationOfDeepLearningInModelingMetasurface
PhotonicsDevices
Micro/Nano Photonics devices and Inverse design
PINN_wave-1
2D wave equation simulated by PINN and FDM
ScatteringM
RCWA for optical metrology and metasurfaces
dalerxli's Repositories
dalerxli/adda-gui
dalerxli/chrono
High-performance C++ library for multiphysics and multibody dynamics simulations
dalerxli/DeepLearning4Metamaterial
A simple deep-learning model for metamaterial design.
dalerxli/DeepXDE_2D_Navier_Stokes
Navier Stokes equations in 2D solved by deep learning library called DeepXDE designed for PINN
dalerxli/DMIS
Official code for "DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks" (AAAI 2023)
dalerxli/FDFD00
Finite Difference Frequency Domain
dalerxli/fealpy
Finite Element Analysis Library in Python
dalerxli/Inverse-design-of-patch-antennas
This repository hosts a simple demonstration of a deep learning approach for the inverse design of patch antennas. The goal is to explore energy-efficient designs and to significantly reduce simulation cost compared to conventional methods.
dalerxli/inverse-nanoparticle-optics
Inverse design of optical nanoparticle metamaterials
dalerxli/mesti_jl_internal
3D multi-source electromagnetic simulations in frequency domain, implementing the augmented partial factorization (APF) and other methods.
dalerxli/MieScattering.jl
A Julia package for the calculation of Mie scattering based on a 1:1 port of miepython
dalerxli/navier-stokes
The repository that hosts the PINN code in tensorflow 2 for Navier-Stokes equation
dalerxli/ngsolve
Netgen/NGSolve is a high performance multiphysics finite element software. It is widely used to analyze models from solid mechanics, fluid dynamics and electromagnetics. Due to its flexible Python interface new physical equations and solution algorithms can be implemented easily.
dalerxli/Phy_in_PIML
dalerxli/Physics-Informed-Neural-Networks-1
dalerxli/Physics-Informed-Reinforcement-Learning
Source code for the paper "Sample-efficient inverse design of freeform nanophotonic devices with physics-informed reinforcement learning"
dalerxli/PINN-for-turbulence
A pytorch implementation of several approaches using PINN to slove turbulent flow
dalerxli/PINN_navier_stokes
Implementing physics informed neural networks (PINN) in PyTorch to solve turbulent flows using the Navier-Stokes equations
dalerxli/pinn_rough_surface
Implementations of PINN to reconstruct rough surfaces
dalerxli/PINN_SA
Use of Turbulence Model (Spalart-Allmaras) with PINNs for mean flow reconstruction
dalerxli/PINNs0
Physics-Informed Neural Networks and applications
dalerxli/PINNs1
Physics informed neural networks repository
dalerxli/protis
Plane Wave Expansion method for photonic crystals. Mirror of https://gitlab.com/protis/protis
dalerxli/pyleecan
Electrical engineering open-source software providing a user-friendly, unified, flexible simulation framework for the multiphysic design and optimization of electrical machines and drives
dalerxli/SciML
Scientific Machine Learning
dalerxli/SU2
SU2: An Open-Source Suite for Multiphysics Simulation and Design
dalerxli/time-domain_MaxwellNet
dalerxli/torch_DE
A pytorch framework for solving PDEs via Physics Informed Neural Networks (PINNs)!
dalerxli/WRF
The official repository for the Weather Research and Forecasting (WRF) model
dalerxli/wrf_cn2_intercomp
Intercomparison of flux, gradient, and variance-based optical turbulence (Cn2) parameterizations