文献检索

查找使用阿拉丁产品的科研文献

检索与阿拉丁产品相关的同行评审论文、DOI、PubMed 编号、期刊、作者、CAS 号及研究领域。

科研影响力快照

与阿拉丁产品相关的已发表科研成果

在搜索之前,这些指标可帮助访客快速了解产品关联科研的规模与质量。

346,364+ SCI 论文 与阿拉丁产品引用相关
2,295,288.15 总影响因子 匹配文献记录中影响因子的总和
81.20 最高期刊影响因子 匹配期刊中的最高 IF
6.63 平均期刊影响因子 匹配文献的平均 IF

参考指标 指标基于阿拉丁文献引用数据库及期刊影响因子记录。文献关联仅供科研参考,请以原始文献为准。

热门产品

视图 列表 网格

1 项目

设置提升方向
梯度能级
CHEMICAL ENGINEERING JOURNAL · 2025 · IF 13.2

Surface electronic structure modulation of PdO/SnO2 through loading Pd for superior hydrogen sensing performance

Danhong Gao,Shasha Gao,Hanling Deng,Hongwei Liu,Dusong Hou,Qianyao Lu,Xinjian He,Sheng Huang

Modulating the surface electronic structure of metal oxides is crucial for enhancing their gas-sensing performance, with gradient energy level structures offering effective regulate. However, the mechanism underlying their impact on hydrogen sensing remains unclear. This study constructed mesoporous Pd-PdO/SnO 2 double-shelled microspheres with gradient energy levels via a soft-template method, precisely tuning the surface electronic structure of SnO 2 . The architecture integrates high surface area (30.9 m 2 /g), ordered mesopores (17.9 nm), and Schottky barrier modulation at PdO(5.04 eV)-SnO 2 (4.92 eV) interfaces, establishing unidirectional electron transfer pathways that amplify charge separation efficiency by 7.3×. The optimized 5 at.% Pd-PdO/SnO 2 sensor achieves high H 2 response (R a /R g  =  [email protected]  ppm) at 162.5℃ with ultrafast kinetics (0.2 s response/4.8 s recovery), a three-order detection span (0.5–8000 ppm), and humidity tolerance (91 % accuracy@80 %RH via machine learning). Theory calculation reveals the gradient structure enhances H 2 adsorption energy (−0.76 eV vs. PdO/SnO 2 : −0.02 eV) and boosts interfacial charge transfer by 46× (0.276 e vs. 0.006 e), driven by synergistic mechanisms: (1) Sn 5 s/p-dominated conduction band electron enrichment (68 % DOS increase near Fermi level), and (2) Pd catalytic activation lowering H 2 dissociation barriers from 1.32 eV (SnO 2 ) to 0.85 eV. This electronic-structure engineering paradigm establishes a roadmap for intelligent gas sensors.

CAS / MDL: 7647-10-1
研究领域: 材料科学 · 传感器技术
✓ 已验证 产品关联 DOI 高影响因子
查看原文 查看 PubMed
已复制

文献关联基于可获得的产品、CAS、DOI 及引用记录。收录不代表作者或出版方对阿拉丁产品的背书,请以原始文献为准。