Yuan Li

ORCID: 0009-0004-0703-3291
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About
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Research Areas
  • Advancements in Battery Materials
  • Advanced Battery Technologies Research
  • Photonic and Optical Devices
  • Optical Systems and Laser Technology
  • Advanced Battery Materials and Technologies
  • Semiconductor Lasers and Optical Devices
  • Advanced Fiber Optic Sensors
  • Advanced Measurement and Metrology Techniques
  • Hydrocarbon exploration and reservoir analysis
  • Electric Vehicles and Infrastructure
  • Advanced Surface Polishing Techniques
  • Advanced materials and composites
  • Power Systems and Technologies
  • Innovative Microfluidic and Catalytic Techniques Innovation
  • Soft Robotics and Applications
  • Multilevel Inverters and Converters
  • Laser Material Processing Techniques
  • Robotic Path Planning Algorithms
  • Robotic Locomotion and Control
  • Metal and Thin Film Mechanics
  • Advanced Measurement and Detection Methods
  • Advanced battery technologies research
  • Structural Health Monitoring Techniques
  • Surface Roughness and Optical Measurements
  • Adaptive optics and wavefront sensing

Nanjing University of Aeronautics and Astronautics
2023-2025

Guangxi University
2025

China Three Gorges Corporation (China)
2024

Fujian Institute of Oceanography
2024

Ministry of Natural Resources
2024

Institute of Physics
2023-2024

Research Institute of Petroleum Exploration and Development
2024

Northwestern Polytechnical University
2023-2024

North China Electric Power University
2013-2024

University of Tennessee at Knoxville
2024

Practical lithium-sulfur (Li-S) batteries are severely plagued by the instability of solid electrolyte interphase (SEI) formed in routine ether electrolytes. Herein, an with 1,3,5-trioxane (TO) and 1,2-dimethoxyethane (DME) as co-solvents is proposed to construct a high-mechanical-stability SEI enriching organic components Li-S batteries. The works compatibly TO high polymerization capability can preferentially decompose form organic-rich SEI, strengthening mechanical stability which...

10.1002/anie.202305466 article EN Angewandte Chemie International Edition 2023-06-28

Spiking Neural Networks (SNNs) provide an energy-efficient deep learning option due to their unique spike-based event-driven (i.e., spike-driven) paradigm. In this paper, we incorporate the spike-driven paradigm into Transformer by proposed Spike-driven with four properties: 1) Event-driven, no calculation is triggered when input of zero; 2) Binary spike communication, all matrix multiplications associated can be transformed sparse additions; 3) Self-attention linear complexity at both token...

10.48550/arxiv.2307.01694 preprint EN other-oa arXiv (Cornell University) 2023-01-01

Most grinding operations are the process of reducing particle size ore materials under combined action impact and abrasion. The mechanism damage abrasion in is different, ability each constituent mineral to resist different. In order study independent interaction law grinding, ores calcite, chalcopyrite, sphalerite studied this paper. JK drop weight test method batch used changes laws various indexes three a single condition, coexistence two effects. results show that crushing parameters...

10.3390/min15040407 article EN Minerals 2025-04-12

\ Nitrous oxide (N$_2$O) ice is likely to exist in trans-Neptunian objects such as Pluto and Triton, potentially formed through ultraviolet (UV) radiation from the Sun or cosmic ray irradiation of N$_2$ CO ices. However, mid-infrared spectral characteristics N$_2$O higher temperature regions (90-110 K), changes spectra during UV irradiation, chemical network nitrogen (N$_x$O$_y$) ices remain insufficiently understood. This study aims elucidate these aspects in-situ measurements cryogenic...

10.48550/arxiv.2504.02210 preprint EN arXiv (Cornell University) 2025-04-02

Textiles capable of achieving both solar heating and radiative cooling play a pivotal role in outdoor thermal management. Despite significant advancements, further improvements are necessary to enhance the optical performance versatility. In this study, we developed Janus textile comprising porous poly(vinylidene fluoride-co-hexafluoropropylene) [P(VdF-HFP)HP] layer (96.4% reflectance 95.3% mid-infrared emissivity) Cu-nanoparticle-based (95.5% absorption 89.1% reflectance). After 30 washing...

10.1021/acs.nanolett.5c01738 article EN Nano Letters 2025-05-02

10.1007/s10553-024-01669-y article EN Chemistry and Technology of Fuels and Oils 2024-03-01

Currently, most assumptions in nonholonomic mobile robot controllers indicate that the velocity can become significantly large and actuators are able to generate necessary level of torque input. Based on sliding mode control theory, this paper develops a new framework handle problem wheeled dynamics model with constrained torque. Through rigorous theoretical analysis extensive simulations, we demonstrate proposed controller guarantees asymptotic convergence tracking or stabilization errors...

10.3390/math12131985 article EN cc-by Mathematics 2024-06-27

10.1007/s00170-024-13574-z article EN The International Journal of Advanced Manufacturing Technology 2024-04-15

An integrated 8 x wavelength router based on the micro-ring resonators using 2 multi-interference (MMI) crossing is demonstrated silicon-on-insulator (SOI) technology, which manufactured with microelectronics equipment. Experimental results show a free spectral range (FSR) about ~37 nm, an on/off contrast larger than 20 dB, imbalance among channels less crosstalk of smaller -10 spacing between close 3.6 ± 0.7 nm and output efficiency every channel dB.

10.1364/oe.25.023677 article EN cc-by Optics Express 2017-09-18

Printed circuit board (PCB) defect detection is critical for ensuring the safety of electronic devices, especially in space industry. Non-reference-based methods, typically deep learning suffer from a large amount annotated data requirements and poor interpretability. In contrast, conventional reference-based methods achieve higher accuracy by comparing with template image but rely on precise alignment face challenge fine defects detection. To solve problem, we propose novel Edge-guided...

10.3390/electronics12102306 article EN Electronics 2023-05-19
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