
Xi'an Jiaotong
Articles
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Jan 14, 2025 |
pubs.rsc.org | Cuiling Zhang |High-end Equipment |Xi'an Jiaotong |Qi Zhang
A flexible silk film based on synergy of hydrogen bonds and a cross-linking network for magnetic sensitive skin† Magnetoresistive (MR) sensors with the ability to detect external magnetic fields have attracted increasing attention in interactive human–machine interfaces and biomedical devices. However, existing MR sensors are typically constructed from rigid and bulky materials, failing to satisfy the flexibility and biocompatibility requirements for on-skin electronics.
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Dec 11, 2024 |
pubs.rsc.org | Power Engineering |Xi'an Jiaotong |Wen-Zhen Fang |Kai-Bo An
Mechanisms of oxygen transport resistance of mesoporous carbon-supported catalysts in fuel cells† Understanding the mechanisms of oxygen transport resistance of mesoporous carbon catalysts in proton exchange membrane fuel cells (PEMFCs) is crucial to improve platinum (Pt) utilization. In this work, molecular dynamics (MD) simulations were employed to unravel the origin of local oxygen transport resistance of ionomer–Pt and water–Pt catalysts on mesoporous carbons.
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Dec 6, 2024 |
pubs.rsc.org | Xinkai Ding |Gaoyang Gou |Power Equipment |Xi'an Jiaotong
Jahn–Teller distortion induced two-dimensional ferroelasticity in Mn2CuO6 monolayers with antiferromagnetic ordering† Designing and tuning Jahn–Teller (JT) distortion of two-dimensional (2D) materials plays a crucial role in multifunctional device applications, where significant 2D ferroelasticity in the crystal can be achieved by collaborative interactions among the spin, orbital and lattice degrees of freedom.
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Dec 5, 2024 |
pubs.rsc.org | Jingzhao Wang |Power Engineering |Xi'an Jiaotong |Xiangming Cui
Scale and morphology design of metal-based catalysts for enhanced Li–CO2 battery performance Li–CO2 batteries (LCBs) have garnered significant attention due to their impressive high-energy densities and unique carbon storage capability.
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Dec 4, 2024 |
academic.oup.com | Xi'an Jiaotong |Xi’an Jiaotong
This study aimed to address the lack of gene expression regulation data in synovial tissues and to identify conditionally independent genes associated with rheumatoid arthritis (RA) in the synovium, a primary target tissue for RA. Gene expression prediction models were built for synovial tissue using matched genotype and gene expression data from 202 subjects.
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