most citedCatalyst design using actively learned machine with non-ab initio input features towards CO2 reduction reactions

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cond-mat.mtrl-sci2020

Generative Adversarial Networks for Crystal Structure Prediction

Sungwon Kim, Juhwan Noh, Geun Ho Gu +2

The constant demand for new functional materials calls for efficient strategies to accelerate the materials design and discovery. In addressing this challenge, machine learning gen…

cond-mat.mtrl-sci2017★ 2 cited

Catalyst design using actively learned machine with non-ab initio input features towards CO2 reduction reactions

Juhwan Noh, Jaehoon Kim, Seoin Back +1

In conventional chemisorption model, the d-band center theory (augmented sometimes with the upper edge of d-band for imporved accuarcy) plays a central role in predicting adsorptio…