journal article·2026-04-28

Substrate-Mediated Morphology Control and Its Impact on Hydrogen Sensing in Pd-Based Multicomponent Alloy Thin Films

Yunsong Li, Ding Wang, Kengo Shimanoe, Zhifu Liu, Mingsheng Ma, Alexey Vasiliev, Nan Ma

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Abstract

Pd alloy thin-film hydrogen sensors have attracted considerable attention, but their practical applications are limited by low sensitivity, slow response/recovery kinetics, and poor long-term stability. Although material modification has been extensively employed to improve sensing performance, the substrate effect on thin-film growth and sensing functionality have not yet been systematically investigated. Herein, we systematically investigate the influence of substrate roughness on the hydrogen-sensing performance by depositing identical PdAgCuSnNi multicomponent alloy films on Al 2 O 3, LTCC (low-temperature co-fired ceramic), and SiO 2 /Si substrates with progressively decreasing surface roughness. Pronounced substrate-dependent variations are observed in key sensing characteristics, including response magnitude, recovery kinetics, baseline stability, and CO interference tolerance. The medium-roughness LTCC-supported sensor exhibits the most balanced overall performance, showing the highest H 2 response (5.61%), surpassing those of the Al 2 O 3 - (4.20%) and SiO 2 /Si-supported (4.09%) sensors, together with the fastest recovery (705 s upon removal of 20,000 ppm of H 2 ), the smallest baseline fluctuation (0.016%), and improved selectivity. This substrate effect is primarily attributed to differences in film morphology and interfacial mechanical constraints, which govern hydrogen diffusion and strain accommodation during repeated absorption/desorption cycles. These findings underscore substrate selection as a crucial design parameter for optimizing Pd-based thin-film hydrogen sensors without altering the sensing material itself.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Electrical and Thermal Properties of Materials · Gas Sensing Nanomaterials and Sensors · Advanced Sensor Technologies Research

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

Affiliations

School of Materials and Chemistry

University of Shanghai for Science and Technology

State Key Laboratory of High Performance Ceramics & CAS Key Laboratory of Inorganic Functional Materials and Devices, Shanghai Institute of Ceramics

Chinese Academy of Sciences

Department of Advanced Materials Science and Engineering, Faculty of Engineering Sciences, Kyushu University, Kasuga, Fukuoka 816-8580, Japan

Laboratory of Sensor Systems

Dubna State University

Funding

National Natural Science Foundation of China · Chinese Academy of Sciences

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