Ruiyuan Zhang

ORCID: 0000-0003-2128-0649
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About
Contact & Profiles
Research Areas
  • Fuel Cells and Related Materials
  • Electrocatalysts for Energy Conversion
  • Advanced battery technologies research
  • Lattice Boltzmann Simulation Studies
  • Membrane-based Ion Separation Techniques
  • Per- and polyfluoroalkyl substances research
  • Arsenic contamination and mitigation
  • Gestational Diabetes Research and Management
  • Catalytic Processes in Materials Science
  • Advanced Surface Polishing Techniques
  • Advancements in PLL and VCO Technologies
  • Industrial Gas Emission Control
  • Geotechnical Engineering and Soil Stabilization
  • Geotechnical Engineering and Soil Mechanics
  • Catalysis and Oxidation Reactions
  • Manufacturing Process and Optimization
  • Advanced Battery Technologies Research
  • Silicon Effects in Agriculture
  • Heavy metals in environment
  • Analog and Mixed-Signal Circuit Design
  • Data Management and Algorithms
  • Geotechnical Engineering and Underground Structures
  • Rock Mechanics and Modeling
  • Advanced oxidation water treatment
  • Geochemistry and Elemental Analysis

Ningxia University
2023-2024

Xi'an Jiaotong University
2018-2024

Hunan University
2022-2024

CCCC Wuhan Harbour Engineering Design and Research (China)
2022-2024

Nankai University
2021-2024

Xi'an University of Technology
2023-2024

XinHua Hospital
2023

Shanghai Jiao Tong University
2023

Henan University of Science and Technology
2023

Northeast Electric Power University
2021-2023

Metal-hydride-catalyzed hydroalkylation of 1,3-dienes with enolizable carbonyl compounds is an atom- and step-economical method for preparing chiral molecules allylic stereocenters. Although high diastereo- enantioselectivities have been achieved many coupling partners, aldehydes not yet used this purpose because they are less stable than other under basic conditions the potential to rapidly epimerize at α-position. Moreover, stereodivergent reactions access complementary diastereomers...

10.1021/jacs.1c02220 article EN Journal of the American Chemical Society 2021-07-15

Abstract Improving the performance of proton exchange membrane fuel cells (PEMFCs) requires deep understanding reactive transport processes inside catalyst layers (CLs). In this study, a particle-overlapping model is developed for accurately describing hierarchical structures and oxygen in CLs. The analytical solutions derived from indicate that carbon particle overlap increases ionomer thickness, reduces specific surface areas carbon, further intensifies local resistance ( R other )....

10.1007/s43979-024-00089-5 article EN cc-by Carbon Neutrality 2024-05-14

Visual Language Models such as CLIP excel in image recognition due to extensive image-text pre-training. However, applying the inference zero-shot classification, particularly for medical diagnosis, faces challenges to: 1) inadequacy of representing classes solely with single category names; 2) modal gap between visual and text spaces generated by encoders. Despite attempts enrich disease descriptions large language models, lack class-specific knowledge often leads poor performance. In...

10.48550/arxiv.2501.11231 preprint EN arXiv (Cornell University) 2025-01-19

A sequentially lighting-up multicolor DNA tetrahedron nanoprobe is constructed for imaging telomerase activity, real-time monitoring action and determining product length distribution in living cells.

10.1039/d0cc07893j article EN Chemical Communications 2021-01-01

The probability of electric vehicle rollover accident can be effectively reduced by shortening the prediction time interval and improving accuracy. Based on a multilayer neural network, an improved time-to-rollover method is presented in this paper. Firstly, force model established analyzed where structure mass battery box have important influence occurrence rollover. Then, indexes considering hyperparameters are divided into five categories, multi-layer network used to simplify algorithm...

10.1177/00202940221113588 article EN Measurement and Control 2022-08-16
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