Jiayan Xu's Projects
Accelerating Metadynamics-Based Free-Energy Calculations with Adaptive Machine Learning Potentials
Active learning workflow developed as a part of the upcoming article "Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide"
AMPtorch: Atomistic Machine Learning Package (AMP) - PyTorch
Few scripts for drawing atomic structures
Some scripts used frequently in my daily research work ...
A deep learning package for many-body potential energy representation and molecular dynamics
The deep potential generator
A Genetic Algorithm Framework in Python
A general Genetic Algorithm Solver in C++
A conda-smithy repository for gdpx.
Generating Deep Potential with Python
Some materials (tests, examples, tutorials...) for using GDPy.
Personal Website of Jiayan Xu
Differentiable, Hardware Accelerated, Molecular Dynamics
MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.
Thesis for Applied Mathematics - Polar Decomposition for 3x3 Matrix
multiiiii VASP!!!
SCAKS-Hub: A flask-powered web app for micro-kinetics analysis
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Manipulating VASP files with Python.
Deep Modeling for Molecular Simulation 2023, four-day in-person workshop, July 11-14, 2023