jzhang73 Goto Github PK

2020_stressgan

additive-manufacturing

OpenFOAM solver for additive manufacturing including thermo-elastic-plastic stress analysis.

additive-manufacturing-1

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

asmbl

Additive & Subtractive Manufacturing By Layer for the E3D ToolChanging platform

autophasenn

bayesian_optimization_material_design

Accelerated Design of Layered Materials with Bayesian Optimization

bezier

Helper for Bézier Curves, Triangles, and Higher Order Objects

covid-net

COVID-Net Open Source Initiative

covid19-mobility

Projection of Future Mobility and Fuel Demand using Machine Learning

crackforest

crackforest-dataset

cyplam

Cyber-Physical Laser Additive Manufacturing

damask

Düsseldorf Advanced Material Simulation Kit (Read-only mirror)

deep-learning-for-indentation

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

dmvst-net

DMVST-Net for AAAI 2018

fatigue

Open source fatigue framework based on PRISMS-Plasticity CPFE simulation

fracture-toughness-analysis

employed machine learning and deep learning techniques to analyze fracture toughness of porous materials

fracture_of_grahene

A molecular dynamics tutorial for new researchers in the area of nanomechanics.

fracturedetection-pytorchyolov3

Term project of Machine Learning, a PKU course.

gcode-toolpath

G-code Toolpath Generator

geoproj

Blind Geometric Distortion Correction on Images Through Deep Learning

gpubootcamp

This repository consists for gpu bootcamp material for HPC and AI

graphene_tensile_test

LAMMPS scripts to simulate uniaxial tensile test of a graphene Sample

ice-fracture-detection

Use Machine Learning to detect ice fractures in images

increaseamyield

Increase the Yield of Metal 3D Printed Parts by Correlating Print Parameters with Melt Pool Metrics and Material Properties in the Additive Manufacturing Industry utilizing Machine Learning.

kimera

KIMERA: A Kinetic Monte Carlo code for Mineral Dissolution

lammps_tutorials_for_short_courses

Required LAMMPS and MATLAB files for several molecular dynamics simulations.

libslm

libSLM is a c++ library for generating and transfering to SLM Machine Systems

machine-learning-energetic-molecules-notebooks

Python Jupyter Notebooks to reproduce the results in our paper, "Applying machine learning techniques to predict the properties of energetic materials"