D. L. Zhang

ORCID: 0009-0009-7224-0533
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About
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Research Areas
  • Microstructure and mechanical properties
  • Metallurgy and Material Forming
  • Aluminum Alloy Microstructure Properties
  • Adipose Tissue and Metabolism
  • Hydraulic Fracturing and Reservoir Analysis
  • Additive Manufacturing Materials and Processes
  • Drilling and Well Engineering
  • Landslides and related hazards
  • Birth, Development, and Health
  • Aluminum Alloys Composites Properties
  • Powder Metallurgy Techniques and Materials
  • Regulation of Appetite and Obesity

Shanghai Jiao Tong University
2018-2022

Northeastern University
2022

XinHua Hospital
2018

Université de Montréal
2018

The width of natural fractures is an important parameter in the leak prevention and plugging operations for oil gas drilling. To accurately predict fracture leaking formation when well leakage occurs during oilfield drilling, based on mud logging data adjacent wells loss process, Spearman correlation analysis normalization methods were used to preprocess data. A new method was then established FDCNN (Fluid Dynamics Constrained Neural Network), which a neural network algorithm constrained by...

10.1063/5.0216197 article EN Physics of Fluids 2024-08-01

Abstract Aim Vulnerability to insulin resistance and Type 2 diabetes may originate in early life, but little is known about whether any perinatal biomarkers are predictive of later metabolic health. We sought assess cord blood insulin, insulin‐like growth factor ( IGF )‐I, ‐ II , leptin, adiponectin ghrelin associated with health indicators infancy. Methods In a prospective singleton birth cohort, we assessed ‐I, concentrations relation the homeostasis model assessment HOMA IR ), β‐cell...

10.1111/dme.13671 article EN Diabetic Medicine 2018-05-16
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