Shengnan Zhang

ORCID: 0009-0007-3465-7704
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About
Contact & Profiles
Research Areas
  • Quantum and electron transport phenomena
  • Magnetic and transport properties of perovskites and related materials
  • Hydraulic and Pneumatic Systems
  • Elevator Systems and Control
  • Peroxisome Proliferator-Activated Receptors
  • Industrial Technology and Control Systems
  • Graphene research and applications
  • Chemical and Physical Properties of Materials
  • Metabolism, Diabetes, and Cancer
  • Parkinson's Disease Mechanisms and Treatments
  • Topological Materials and Phenomena
  • Magnetic properties of thin films
  • Control Systems in Engineering
  • biodegradable polymer synthesis and properties
  • Lipid metabolism and disorders
  • Neurological disorders and treatments
  • Theoretical and Computational Physics

Shandong Jianzhu University
2024-2025

Shanghai Institute of Organic Chemistry
2024

Chinese Academy of Sciences
2024

Czech Academy of Sciences, Institute of Physics
2024

Institute of Physics
2024

Guangzhou Institutes of Biomedicine and Health
2024

Abstract Secreted phospholipase A2s are involved in the development of obesity, type 2 diabetes mellitus (T2DM) and cardiovascular disease, which have become serious growing health concerns worldwide. Integration genome‐wide association study gene co‐expression networks analysis showed that secreted A2 group XIIA (PLA2G12A) may participate hepatic lipids metabolism. Nevertheless, role PLA2G12A lipid metabolism its potential mechanism remain elusive. Here, we used AAV9 vector carrying human...

10.1096/fj.202302075r article EN The FASEB Journal 2024-05-04

To solve the horizontal vibration problem of high-speed elevators caused by unevenness guide rails and excitation rail joints, considering uncertainty elevator parameters multivariable coupling, an adaptive explicit distributed model predictive control strategy based on a multi-agent car system is proposed. First, coupling constraints are analyzed, established. Second, topology relationship communication graph theory optimal law agent distribution prediction realized offline multi-parameter...

10.1177/01423312251322229 article EN Transactions of the Institute of Measurement and Control 2025-03-31

Unusual magnetotransport behaviors, such as temperature-dependent negative magnetoresistance (MR) and bowtie-shaped MR, have puzzled us for a long time. Although several mechanisms been proposed to explain these phenomena, the absence of comprehensive quantitative calculations has made explanations less convincing. In our work, we introduce methodology study behaviors in magnetic materials. This approach integrates anomalous Hall conductivity induced by Berry curvature, with multiband...

10.1103/physrevresearch.6.043185 article EN cc-by Physical Review Research 2024-11-21

α-Synuclein (α-syn), a crucial molecule in Parkinson's disease (PD), is known for its interaction with lipid membranes, which facilitates vesicle trafficking and modulates pathological aggregation. Deciphering the complexity of membrane-binding behavior α-syn to understand functions pathology PD. Here, we used single-molecule imaging show that forms multimers on membranes huge intermultimer distances. The are characterized by self-limiting growth, manifesting concentration-dependent...

10.1126/sciadv.ado4893 article EN cc-by-nc Science Advances 2024-10-09

Abstract The origin of resistivity peak and sign reversal Hall in ZrTe 5 has long been debated. Despite various theories proposed to explain these unique transport properties, there’s a lack comprehensive first principles studies. In this work, we employ calculations Boltzmann theory explore properties narrow-gap semiconductors across varying temperatures doping levels within the relaxation time approximation. We simulate temperature-sensitive chemical potential through proper...

10.1038/s41524-024-01459-4 article EN cc-by npj Computational Materials 2024-11-30
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