PHYSBO-Tutorial

How to use PHYSBO for our laboratory

PHYSBO code

https://github.com/issp-center-dev/PHYSBO

DEMO with streamlit

https://share.streamlit.io/hikaruri/physbo-streamlit/main/main.py

https://physbo-streamlit.herokuapp.com/

source code is here

Preparation

Please clone this repository

git clone git@github.com:hikaruri/PHYSBO-Tutorial.git

Please prepare python3 and virtual enviroment (How to installation is here). And, you can install PHYSBO by pip

pip3 install physbo
pip3 install matplotlib

If you want to use jupyter-notebook,

pip3 install notebook

If you want to carry out the LASSO's optimization (this is my hobby),

pip3 install scikit-learn mglearn

Or, please use MateriApps LIVE!. Release 3.3 includes PHYSBO.

Tutorial

• Python Tutorial
• Basic Tutorial

PHYSBO manual

• English Manual
• 日本語マニュアル
• CCMS Webハンズオン: PHYSBO講習会 (2021/05/24)
  • Tsuda sensei's slides are written by English.

References

• Tsuyoshi Ueno, Trevor David Rhone, Zhufeng Hou, Teruyasu Mizoguchi and Koji Tsuda, COMBO: An Efficient Bayesian Optimization Library for Materials Science, Materials Discovery 4, 18-21 (2016). Available from https://doi.org/10.1016/j.md.2016.04.001
• https://github.com/tsudalab/combo3
  • Almost functions are same as COMBO
• 持橋 大地, 大羽 成征, ガウス過程と機械学習 (機械学習プロフェッショナルシリーズ), 講談社 (2019)
  • 日本語で一番わかりやすい資料

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