CFD | DNS
DNS A direct numerical simulation (DNS) is a simulation in computational fluid dynamics (CFD) in which the Navier–Stokes equations are numerically solved without any turbulence model. This means that
ML | Genesis
What is Genesis? https://github.com/Genesis-Embodied-AI/Genesis Genesis is a physics platform designed for general purpose Robotics/Embodied AI/Physical AI applications. It is simultaneously multip
CFD | Wall Function
Why using wall functions approach? Nowadays turbulence models are heavily used when doing CFD simulations. However, some mature turbulence models such as $ k-$ are only valid in the area of turbulence
CFD | RANS vs. URANS vs. LES
Characteristics of turbulence One characteristic of turbulent flows is their irregularity (or randomness). A fully deterministic approach to characterize turbulent flows is very difficult. Turbulent f
ML | Diffusion Models (Denoising diffusion probabilistic models)
Diffusion Models Diffusion Models are generative models, meaning that they are used to generate data similar to the data on which they are trained. Fundamentally, Diffusion Models work by destroying t
ML | U-Net
U-Net The U-Net architecture follows an encoder-decoder cascade structure, where the encoder gradually compresses information into a lower-dimensional representation. Then the decoder decodes this inf
ML | GNN Graph Neural Network Model
Overview of Graph Neural Networks (GNNs) Graph Neural Networks (GNNs) are a specialized type of neural network designed to process and analyze graph-structured data. Unlike traditional neural networks
ML | PyTorch
PyTorch 2017 年初由 Facebook 開源的另一套建立在 Torch 之上的深度學習框架 PyTorch 因其語法簡潔優雅、概念直觀和易上手的特性，甫推出便迅速走紅，儼然已成為瓜分深度學習市場的有力競爭者。 PyTorch is an optimized tensor library for deep learning using GPUs and CPUs. Automatic d
