KeyuShiNUAA

KeyuShiNUAA's Stars

• patrick-kidger/diffrax

  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

  Language:Python1.4k21338127

• numerical-mooc/numerical-mooc

  A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.

  Language:Jupyter Notebook894108151.5k

• JaxGaussianProcesses/GPJax

  Gaussian processes in JAX.

  Language:Python455317453

• deepmodeling/jax-fem

  Differentiable Finite Element Method with JAX

  Language:Python276143443

• scikit-fmm/scikit-fmm

  scikit-fmm is a Python extension module which implements the fast marching method.

  Language:Python271136363

• TarletonGroup/CrystalPlasticity

  CP UMAT and CZM UEL for Abaqus

  Language:Fortran145127866

• ucl-bug/jaxdf

  A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations

  Language:Python1207157

• lululxvi/deep-learning-for-indentation

  Extraction of mechanical properties of materials through deep learning from instrumented indentation

  Language:Python5671727

• AbbasHub/Improved_Phase-Field_LBM_2D

  Improved conservative phase-field LBM code for multiphase flows in a 2D periodic domain

  Language:Fortran421011

• micmog/LaserbeamFoam

  Laser Ray Tracing Implementation and fluid flow simulation framework for Additive Manufacturing, laser welding, laser drilling applications

  Language:C++3861019

• deepmodeling/APEX

  APEX: Alloy Properties EXplorer using simulations

  Language:Python237818

• vivekoommen/UNetForMicrostructureEvolution

  Rethinking materials simulations: Blending DNS with Neural Operators

  Language:Python150

• mo-hanxuan/Snow-PhaseField

  Crystalline growth of dendrite snow simulated by phase field with Taichi-based cross-platform parallel (CPU/GPU) computing

  Language:Python14104

• vegardkv/pyfmm

  Python module implementing the Fast Marching Method. Only dependency is numpy 1.8+.

  Language:Python11102

• jiayingqi/Heterogeneous-Virtual-Growth

  Generates patterns with seamlessly connected building blocks

  Language:Python104

• raghurama123/NumericalMethodsOld

  Contains Jupyter notebooks and other materials prepared for the course Numerical Methods offered at TIFR Hyderabad (https://moldis-group.github.io/teaching.html)

  Language:Jupyter Notebook10209

• caozhiwei96/directional_solidification_lammps

  Language:Python61

• zekunwang96/VOF_DEM_Additive_Manufacturing

  Simultaneous modeling of powder rigid motion and molten pool evolution for powder-based additive manufacturing. 2023, Powder Technology

  6112

• Chalose/IB-LBMtest

  采用Julia多线程，对在保守体积力下的粒子-流体，粒子-粒子相互作用进行LBM模拟。

  Language:Julia31

• ElsevierSoftwareX/SOFTX-D-21-00197

  StrutSurf: A tool for analysis of strut morphology and surface roughness in additively manufactured lattices. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711022000383

  Language:MATLAB310

• guoxuan-ma/BIRD-GP

  Python module for Bayesian Image-on-image Regression via Deep kernel learning based Gaussian Processes

  Language:Jupyter Notebook32

• iecheta/LatticeLib

  Modelling and measurement tools for strut-based lattice structures. Written in MATLAB (v2020b).

  Language:MATLAB33

• guoxuan-ma/BAUM

  R package for Bayesian Analysis for Untargeted Metabolomics data (BAUM)

  Language:R2