Zhanli Liu

ORCID: 0000-0003-3599-4909
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About
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Research Areas
  • Microstructure and mechanical properties
  • Numerical methods in engineering
  • High-Velocity Impact and Material Behavior
  • Rock Mechanics and Modeling
  • Metal and Thin Film Mechanics
  • Structural Response to Dynamic Loads
  • Nonlocal and gradient elasticity in micro/nano structures
  • Hydraulic Fracturing and Reservoir Analysis
  • Metal Forming Simulation Techniques
  • Fluid Dynamics Simulations and Interactions
  • Drilling and Well Engineering
  • Acoustic Wave Phenomena Research
  • Automotive and Human Injury Biomechanics
  • Fatigue and fracture mechanics
  • Geotechnical Engineering and Underground Structures
  • Mechanical Behavior of Composites
  • Cellular and Composite Structures
  • High Temperature Alloys and Creep
  • Ultrasonics and Acoustic Wave Propagation
  • Force Microscopy Techniques and Applications
  • Aluminum Alloys Composites Properties
  • Elasticity and Material Modeling
  • Microstructure and Mechanical Properties of Steels
  • Composite Material Mechanics
  • Disaster Response and Management

Tsinghua University
2016-2025

Zunyi Medical University
2025

Shanghai Ninth People's Hospital
2024

Shanghai Jiao Tong University
2024

National Clinical Research
2024

Jinan University
2019-2024

Southern University of Science and Technology
2023

Hangzhou Children's Hospital
2023

Bee Research Institute
2023

HBIS (China)
2022-2023

Abstract Head and neck squamous cell carcinoma is the sixth most common cancer worldwide has high heterogeneity unsatisfactory outcomes. To better characterize tumor progression trajectory, we perform single-cell RNA sequencing of normal tissue, precancerous early-stage, advanced-stage lymph node, recurrent tumors tissue samples. We identify transcriptional development trajectory malignant epithelial cells a tumorigenic subcluster regulated by TFDP1 . Furthermore, find that infiltration...

10.1038/s41467-024-46912-6 article EN cc-by Nature Communications 2024-03-22

Abstract Flexible electromechanical sensors frequently suffer from unexpected impact loadings caused by slipping, collisions and falling objects, to name a few. Without sufficient protection, these undesired impacts would lead critical mechanical instability even damage flexible sensors, resulting in restricted measurement range imprecise sensing. Thus, it is of significance, but still fresh challenge enhance the stability energy‐absorption capacity under impacts. Here, multi‐design strategy...

10.1002/adfm.202419882 article EN Advanced Functional Materials 2025-01-02

10.1016/j.compositesa.2015.10.007 article EN Composites Part A Applied Science and Manufacturing 2015-10-22

Abstract A novel deep learning‐based optimization (DLBO) methodology is proposed for rapidly optimizing phononic crystal‐based metastructure topologies. DLBO eliminates the need pre‐optimized data by leveraging learned relation from features to bandgaps. It enables based on qualitative/quantitative descriptions and forms a regular generalization domain avoid misjudgments. achieves similar or better results genetic algorithm (GA) only requires 0.01% of time GA costs. Metastructures with...

10.1111/mice.13100 article EN Computer-Aided Civil and Infrastructure Engineering 2023-09-30
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