A5101926154- Hydrogen embrittlement and corrosion behaviors in metals
- High-Temperature Coating Behaviors
- Corrosion Behavior and Inhibition
- High Entropy Alloys Studies
- Electromagnetic wave absorption materials
- Advanced Antenna and Metasurface Technologies
- Supercapacitor Materials and Fabrication
- MXene and MAX Phase Materials
- Advanced materials and composites
- Flame retardant materials and properties
- Metamaterials and Metasurfaces Applications
- Advanced Sensor and Energy Harvesting Materials
- Innovative concrete reinforcement materials
- Titanium Alloys Microstructure and Properties
- Aluminum Alloys Composites Properties
- Graphene research and applications
- Advanced Image and Video Retrieval Techniques
- Concrete and Cement Materials Research
- Multi-Agent Systems and Negotiation
- Advancements in Battery Materials
- Magnesium Oxide Properties and Applications
- Semantic Web and Ontologies
- Scientific Computing and Data Management
- Welding Techniques and Residual Stresses
- Multimodal Machine Learning Applications
Zhejiang Sci-Tech University
2023-2025
Xi'an University of Architecture and Technology
2023-2024
Metal-organic frameworks (MOFs) have attracted attention due to their designable structures. However, recently reported MOF microwave-absorbing materials (MAMs) are dominated by powders. It remains a challenge design MOF/carbon nanotube (CNT) composite structures that combine the mechanical properties of self-supporting flexibility with excellent microwave absorption. This work involves hydrothermal approach grow Ni-MOF different microstructures in situ on CNT monofilament adjusting molar...
The CSMC aerogel, with a 3D isotropic porous structure supported by 2D faces in X , Y and Z dimensions, shows 148.78 kPa compressive strength at 80% strain. As sensor, it has high sensitivity (GF = 7.6, S 894.8 −1 ) durability (10 000 cycles).
The enhancement of generalization in robots by large vision-language models (LVLMs) is increasingly evident. Therefore, the embodied cognitive abilities LVLMs based on egocentric videos are great interest. However, current datasets for video question answering lack comprehensive and systematic evaluation frameworks. Critical issues, such as robotic self-cognition, dynamic scene perception, hallucination, rarely addressed. To tackle these challenges, we propose ECBench, a high-quality...
The properties of concrete can be significantly affected by sodium gluconate (SG) at very small dosages. In this paper, the effects SG on fluidity, setting time, heat hydration, and strength ultra-high-performance (UHPC) were studied. results show that (1) in plastic stage, inhibited formation early ettringite (AFt) delayed hydration tricalcium silicate (C3S) dicalcium (C2S). increased initial fluidity UHPC without decreasing within 1 h. When dosage was ≥0.06%, slumps 30 min 60 slightly. (2)...
It is a challenge to prepare self-supporting electrodes with superflexibility and excellent electrochemical properties for lithium-ion batteries (LIBs) using simple method. The utilization of Si in LIB anodes widespread due its high specific capacity. However, the significant volume expansion during charge–discharge cycles hinders large-scale application, Si–carbon are mostly powder form. Herein, low-cost method synthesizing superflexible via ultrasonic self-assembly, followed by directional...
Effective research ideation is a critical step for scientific research. However, the exponential increase in literature makes it challenging researchers to stay current with recent advances and identify meaningful directions. Recent developments large language models~(LLMs) suggest promising avenue automating generation of novel ideas. existing methods idea either trivially prompt LLMs or directly expose extensive without indicating useful information. Inspired by process human researchers,...
Video Large Language Models (Video LLMs) have recently exhibited remarkable capabilities in general video understanding. However, they mainly focus on holistic comprehension and struggle with capturing fine-grained spatial temporal details. Besides, the lack of high-quality object-level instruction data a comprehensive benchmark further hinders their advancements. To tackle these challenges, we introduce VideoRefer Suite to empower LLM for finer-level spatial-temporal understanding, i.e.,...