A5103001703- Fire dynamics and safety research
- Advanced Battery Technologies Research
- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Combustion and Detonation Processes
- Risk and Safety Analysis
- Evacuation and Crowd Dynamics
- Wind and Air Flow Studies
- Fire Detection and Safety Systems
- Fire effects on ecosystems
- Probabilistic and Robust Engineering Design
- Thermal and Kinetic Analysis
- Advanced Sensor and Energy Harvesting Materials
- Infrastructure Resilience and Vulnerability Analysis
- Vehicle Dynamics and Control Systems
- Oil Spill Detection and Mitigation
- Analytical Chemistry and Sensors
- Thermochemical Biomass Conversion Processes
- Maritime Navigation and Safety
- Reliability and Maintenance Optimization
- Advanced Fiber Optic Sensors
- Nuclear Engineering Thermal-Hydraulics
- Marine and Coastal Research
- Oil, Gas, and Environmental Issues
- Multi-Criteria Decision Making
China University of Petroleum, East China
2014-2024
Hyundai Motors (South Korea)
2024
Xi'an Institute of Optics and Precision Mechanics
2023
Chinese Academy of Sciences
2023
Zhejiang University
2023
Nanjing Tech University
2022
Harbin Institute of Technology
2022
Zhejiang University of Technology
2013-2021
China University of Petroleum, Beijing
2018
University of Science and Technology of China
2011-2016
Flexible and wearable humidity sensors play a vital role in daily point-of-care diagnosis noncontact human-machine interactions. However, achieving facile high-speed fabrication approach to realizing flexible remains challenge. In this work, capacitive-type Ga<sub>2</sub>O<sub>3</sub>/liquid metal-based sensor is demonstrated by one-step laser direct writing technique. Owing the photothermal effect of laser, Ga<sub>2</sub>O<sub>3</sub>-wrapped liquid metal particles can be selectively...
Thin film-based thermal flow sensors afford applications in healthcare and industries owing to their merits preserving initial distributions. However, traditional are primarily applied track intensities based on hot-wire or hot-film sensing mechanisms due relatively facile device configurations fabrication strategies. Herein, a calorimetric sensor is proposed laser direct writing form laser-induced graphene as heaters temperature sensors, resulting monitoring both orientations. Via...
Lithium-ion battery state-of-health (SOH) estimation and remaining usable life (RUL) prediction are important for prognosis health management. In this article, a framework-combined deep convolution neural network (DCNN) with double-layer long short-term memory (LSTM) is proposed, which designed online prognosis. Based on the raw data obtained during constant current charging process, aging characteristics of can be extracted by DCNN to estimate SOH. The results then sent LSTM temporal RUL....