Pinned Repositories
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
CBE60547
Computational Chemistry
gpss20
Gaussian Process and Uncertainty Quantification Summer School 2020
liuzyzju.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
phonon_TL
pymatgen
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project.
quantum-espresso
git mirror of :pserver:anonymous@scm.qe-forge.org:/cvsroot/q-e
scripts
Various scripts used to maintain Fink, the web site and the binary distribution. They are not intended for use by the general public.
TL_thermal
Thermal conductivity prediction improved by transfer learning
liuzyzju's Repositories
liuzyzju/phonon_TL
liuzyzju/TL_thermal
Thermal conductivity prediction improved by transfer learning
liuzyzju/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
liuzyzju/CBE60547
Computational Chemistry
liuzyzju/gpss20
Gaussian Process and Uncertainty Quantification Summer School 2020
liuzyzju/liuzyzju.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
liuzyzju/pymatgen
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project.
liuzyzju/quantum-espresso
git mirror of :pserver:anonymous@scm.qe-forge.org:/cvsroot/q-e
liuzyzju/scripts
Various scripts used to maintain Fink, the web site and the binary distribution. They are not intended for use by the general public.