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Hongkee Yoon's Projects

abipy icon abipy

Open-source library for analyzing the results produced by ABINIT

approxd.jl icon approxd.jl

B-splines and linear approximators in multiple dimensions for Julia

bandstructureplots icon bandstructureplots

Band structure plots using pymatgen and a rgb scale to look at atomic or orbital contributions.

dmft_withjulia icon dmft_withjulia

DMFT with CTQMC. The Dynamical Mean Field Theory (DMFT) with the continuous-time auxiliary-field Quantum Monte Carlo method with Julia 1.0.0.

e3nn icon e3nn

A modular framework for neural networks with Euclidean symmetry

ecalj icon ecalj

The quasiparticle self-consistent GW method in the PMT method (LAPW+LMTO+Lo). See the README.md;

egnn-pytorch icon egnn-pytorch

Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch

elemental icon elemental

Distributed-memory dense and sparse-direct linear algebra and optimization

emmet icon emmet

Be a master builder of databases of material properties. Avoid the Kragle.

equiformer-pytorch icon equiformer-pytorch

Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein folding

freeu icon freeu

FreeU: Free Lunch in Diffusion U-Net

graddft icon graddft

GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine learning techniques.

hdf5.jl icon hdf5.jl

Saving and loading data in the HDF5 file format

ktx-macro icon ktx-macro

ktx 취소표 예약 도구 - chrome extension

mxmnet icon mxmnet

Source code for our paper "Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures"

nequip icon nequip

NequIP is a code for building E(3)-equivariant interatomic potentials

nnpops icon nnpops

High-performance operations for neural network potentials

ocp icon ocp

https://opencatalystproject.org/

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