Pattern-enhanced Resonant Soft X-ray Scattering for Operando monitoring of electrochemical solid-liquid interfaces

H Haoyi Li (Chemical Sciences Division) K Kas Andrle Q Qi Zhang I Isvar A. Cordova Y Yao Yang Z Zhengxing Peng F Feipeng Yang G Guillaume Freychet (University of Grenoble Alpes, CEA, Leti, Grenoble) S Scott Dhuey A Alexander Hexemer B Brett A. Helms (Materials Sciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720, United States) W Weilun Chao B Bruno La Fontaine R Ricardo Ruiz J Jinghua Guo W Wanli Yang (Advanced Light Source) J Junko Yano C Cheng Wang

Abstract

Abstract Unveiling interfaces at sub-nanometer scales is essential for advancing the understanding of complex chemical transformations. However, characterizing solid-liquid interfaces with high dimensional sensitivity and temporal resolution remains challenging, due to their dynamic nature and inaccessibility by conventional probes. Here we present an approach, Pattern-enhanced Resonant Soft X-ray Scattering, to overcome the challenges. Rooted in a “sample-as-optics” philosophy, this technique utilizes precisely engineered line-grating nanopatterns to modulate near-field X-ray illumination, coherently enhancing scattering signals from the line-gratings. We implement the method using Ni line-grating nanopatterns in electrochemical water oxidation. The periodic nanostructures serve as diffractive optical elements to reveal the Ni oxidation gradients and structural dynamics at the electrode-electrolyte interfaces. Finite-element simulations corroborate the observed trends by modeling variations in compositions and structures during electrocatalysis. Through integrating advanced sample design with coherent wave nature of soft X-rays, our approach opens accessible pathways to operando exploring chemical evolution and sub-nanometer dimensional variations simultaneously in electrochemical systems. This non-destructive method is efficient and element-specific, making it valuable for probing chemical and dimensional dynamics with appropriate modeling.

Article Details

Volume / Issue Vol. 17, Issue 1
Published February 21, 2026
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (18)

H

Haoyi Li

Chemical Sciences Division

K

Kas Andrle

Q

Qi Zhang

I

Isvar A. Cordova

Y

Yao Yang

Z

Zhengxing Peng

F

Feipeng Yang

G

Guillaume Freychet

University of Grenoble Alpes, CEA, Leti, Grenoble

S

Scott Dhuey

A

Alexander Hexemer

B

Brett A. Helms

Materials Sciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720, United States

W

Weilun Chao

B

Bruno La Fontaine

R

Ricardo Ruiz

J

Jinghua Guo

W

Wanli Yang

Advanced Light Source

J

Junko Yano

C

Cheng Wang