Architecting data-driven microbial electrochemistry from scratch

Waheed Miran; Gaku Imamura; Akihiro Okamoto

doi:10.1016/j.patter.2022.100637

Architecting data-driven microbial electrochemistry from scratch

Patterns (N Y). 2022 Nov 11;3(11):100637. doi: 10.1016/j.patter.2022.100637.

Authors

Waheed Miran^{1

2}, Gaku Imamura^{1

3}, Akihiro Okamoto^{1

4}

Affiliations

¹ International Center for Materials Nanoarchitectonics, National Institute for Materials Science, 1-1 Namiki, Tsubaka, Ibaraki 305-0044, Japan.
² School of Chemical and Materials Engineering, National University of Sciences and Technology, Islamabad 44000, Pakistan.
³ Graduate School of Information Science and Technology, Osaka University, 1-2 Yamadaoka, Suita, Osaka 565-0871, Japan.
⁴ Graduate School of Chemical Sciences and Engineering, Hokkaido University, North 13 West 8, Kita-ku, Sapporo, Hokkaido 060-8628, Japan.

Abstract

Waheed, a former postdoctoral researcher; Gaku, a senior researcher; and Akihiro, a group leader in Okamoto lab succeeded high-quality database construction and discovered a highly stable microbial power-generation mechanism. They talk about how wet electrochemists jumped into the data science field and the potential of data science to explore complex bacteria/electrode interactions.

Publication types

News