Jiaxuan Liu

ORCID: 0000-0003-1882-4828
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About
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Research Areas
  • Hydrogen Storage and Materials
  • Fuel Cells and Related Materials
  • Spacecraft and Cryogenic Technologies
  • Hybrid Renewable Energy Systems
  • Ammonia Synthesis and Nitrogen Reduction
  • Assembly Line Balancing Optimization
  • Optical measurement and interference techniques
  • Phase Change Materials Research
  • Engineering Applied Research
  • Railway Systems and Energy Efficiency
  • Refrigeration and Air Conditioning Technologies
  • Heat Transfer and Boiling Studies
  • Tribology and Lubrication Engineering
  • Industrial Vision Systems and Defect Detection
  • Advanced Battery Technologies Research
  • Superconducting Materials and Applications
  • Surface Roughness and Optical Measurements
  • Elevator Systems and Control
  • Heat Transfer and Optimization

Lanzhou Jiaotong University
2025

Harbin Institute of Technology
2023-2024

Xi'an Jiaotong University
2023

Shunting operation plan is the main daily work of freight train depot, optimization shunting great significance to improve efficiency railway and production transportation. In this paper, deep reinforcement learning (DRL) environment model problem are constructed by three elements: action, state reward, taking locomotive as agent, lane number fall-down group conditions state, design reward function based on total hooks generated after group’s descent reorganization. The solved using Deep Q...

10.1371/journal.pone.0320762 article EN cc-by PLoS ONE 2025-04-08

10.1109/i2mtc60896.2024.10561207 article EN 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) 2024-05-20

The use of state-of-art prediction methods for lithium-ion battery capacity diving can accelerate the development cycle and perform rapid validation new manufacturing processes. However, high-volume data requirements unclear aging mechanisms lead to a significant increase in decrease accuracy. Herein, based on more comprehensive consideration factors, we generate mechanism model multiple factors predict point. By calculating parameters with few data, conduct thorough analysis process...

10.2139/ssrn.4525145 preprint EN 2023-01-01
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