JayLau123
Research Associate at MIT. Quantum Chemistry. AI4Physics. Hobbies :bicyclist: :musical_keyboard: 🎲 📷
Massachusetts Institute of TechnologyCambridge
Pinned Repositories
Course_ML-for-Materials
Courses summary(Instructor: Logan Ward)
GPT-toolkit-summary
🛠️ There's always an AI tool designed for you！
Hidden-variables
Discovering hidden variables in supervised learning
Ising-model
Simulation of 1D Ising model and visualized all the numerical configurations and energy level degenercy, to find the intersection with Boltzmann distribution function. 2D Ising model, etc.
Machine-learning-for-Materials
CNN, GNN, SchNet and QM9 dataset, etc.
MatDeepLearn_dev
Georgia Tech: https://www.fung-group.org/
Molecular-dynamics-simulation-NVE-
Tutorial: Molecular dynamics simulation of Lennard-Jones particles in microcanonical ensemble.
Monte-Carlo-method
A brief introduction to MC method and its mathematical theory
NN-UCNP-Project
From inputs to outputs: access steady state population distribution at given transition rates
Quantum-Chemistry
Use computational chemistry method and HF theory to build a model of atoms and molecules.
JayLau123's Repositories
JayLau123/Machine-learning-for-Materials
CNN, GNN, SchNet and QM9 dataset, etc.
JayLau123/Molecular-dynamics-simulation-NVE-
Tutorial: Molecular dynamics simulation of Lennard-Jones particles in microcanonical ensemble.
JayLau123/GPT-toolkit-summary
🛠️ There's always an AI tool designed for you！
JayLau123/Ising-model
Simulation of 1D Ising model and visualized all the numerical configurations and energy level degenercy, to find the intersection with Boltzmann distribution function. 2D Ising model, etc.
JayLau123/Quantum-Chemistry
Use computational chemistry method and HF theory to build a model of atoms and molecules.
JayLau123/Course_ML-for-Materials
Courses summary(Instructor: Logan Ward)
JayLau123/Create-Lammps-input-files-with-packmol-and-VMD-
Simulation of water molecules with packmol, VMD, and Lammps.
JayLau123/Computational-Physics
Widely used methods of computational physics including some numerical computations in classic and quantum mechanics.
JayLau123/deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
JayLau123/Hidden-variables
Discovering hidden variables in supervised learning
JayLau123/HPC-for-materials
High performance computing for materials simulation. The 3rd paradigm.
JayLau123/MatDeepLearn_dev
Georgia Tech: https://www.fung-group.org/
JayLau123/Math-ML
Basic statistics for machine learning
JayLau123/Monte-Carlo-method
A brief introduction to MC method and its mathematical theory
JayLau123/NOMAD
Explore and analyse the database of computational materials science data
JayLau123/Numerical-Analysis
A brief introduction to Numerical Analysis based on MATLAB and Fortran, and some computational physics problems.
JayLau123/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
JayLau123/Quantum-learner
Some open source and useful learning materials related to quantum science and engineering
JayLau123/NN-UCNP-Project
From inputs to outputs: access steady state population distribution at given transition rates
JayLau123/CS-self-learning
🦾 Open courses from Harvard, MIT, Stanford, Berkeley, CMU, etc.
JayLau123/free-project-course
Free course for Resume, 整理和搜集网络免费的项目实战课程，包括 Java 项目实战，Python 项目实战，C++ 项目实战等
JayLau123/JayLau123
JayLau123/Minesweeper-game
Just for fun!
JayLau123/PyTorch_CV
CNN for image process
JayLau123/Quick-start
Some fundamental tutorial for Python, GitHub, and command line, etc.
JayLau123/Single-particle-tracking-program
It's an entry-level program to learn the particle tracking in acceralor physics with SAD software. Our goal is to find the relation of 6D coordinates of particle before and after tracking with neural network or other mathematical physics tools.
JayLau123/Uni-Mol
A Universal 3D Molecular Representation Learning Framework