journal article·2025-07Open access

Rapid Surface Reconstruction of In 2 S 3 Photoanode via Flame Treatment for Enhanced Photoelectrochemical Performance

Yoo Jae Jeong, Runfa Tan, Seongsik Nam, Jong Ho Lee, Sung Kyu Kim, Tae Gyu Lee, Seong Sik Shin, Xiaolin Zheng, In Sun Cho

Advanced Materials· Volume 37· Issue 26

Abstract

Abstract Surface reconstruction, reorganizing the surface atoms or structure, is a promising strategy to manipulate materials' electrical, electrochemical, and surface catalytic properties. Herein, a rapid surface reconstruction of indium sulfide (In 2 S 3 ) is demonstrated via a high‐temperature flame treatment to improve its charge collection properties. The flame process selectively transforms the In 2 S 3 surface into a diffusionless In 2 O 3 layer with high crystallinity. Additionally, it controllably generates bulk sulfur vacancies within a few seconds, leading to surface‐reconstructed In 2 S 3 (sr‐In 2 S 3 ). When using those sr‐In 2 S 3 as photoanode for photoelectrochemical water splitting devices, these dual functions of surface In 2 O 3 /bulk In 2 S 3 reduce the charge recombination in the surface and bulk region, thus improving photocurrent density and stability. With optimized surface reconstruction, the sr‐In 2 S 3 photoanode demonstrates a significant photocurrent density of 8.5 mA cm −2 at 1.23 V versus a reversible hydrogen electrode (RHE), marking a 2.5‐fold increase compared to pristine In 2 S 3 (3.5 mA cm −2 ). More importantly, the sr‐In 2 S 3 photoanode exhibits an impressive photocurrent density of 7.3 mA cm −2 at 0.6 V versus RHE for iodide oxidation reaction. A practical and scalable surface reconstruction is also showcased via flame treatment. This work provides new insights for surface reconstruction engineering in sulfide‐based semiconductors, making a breakthrough in developing efficient solar‐fuel energy devices.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Photocatalysis Techniques · Chalcogenide Semiconductor Thin Films · Gas Sensing Nanomaterials and Sensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Energy Systems Research Ajou University Suwon 16499 Republic of Korea

Department of Material Science & Engineering Ajou University Suwon 16499 Republic of Korea

Department of Nano Engineering Department of Nano Science and Technology SKKU Advanced Institute of Nanotechnology (SAINT) Sungkyunkwan University Suwon 16419 Republic of Korea

SKKU Institute of Energy Science and Technology (SIEST) Sungkyunkwan University Suwon 16419 Republic of Korea

Department of Nanotechnology and Advanced Materials Engineering Sejong University Seoul 05006 Republic of Korea

Department of Mechanical Engineering Stanford University Stanford CA 94305 USA

Funding

National Research Foundation of Korea

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