Machine-learning enhanced simulations predict graphene is microscopically hydrophobic and not wetting transparent

D Dianwei Hou Y Yevhen Horbatenko S Stefan Ringe (Department of Chemistry, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea) M Minhaeng Cho (Center for Molecular Spectroscopy and Dynamics)

Article Details

Volume / Issue Vol. 17, Issue 1
Published April 02, 2026
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (4)

D

Dianwei Hou

Y

Yevhen Horbatenko

S

Stefan Ringe

Department of Chemistry, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea

M

Minhaeng Cho

Center for Molecular Spectroscopy and Dynamics