A5101745675- Cellular and Composite Structures
- Advanced Battery Materials and Technologies
- Covalent Organic Framework Applications
- Advancements in Battery Materials
- Advanced Sensor and Energy Harvesting Materials
- Innovations in Concrete and Construction Materials
- Shape Memory Alloy Transformations
- Aerosol Filtration and Electrostatic Precipitation
- Photonic and Optical Devices
- Electromagnetic wave absorption materials
- Advanced Antenna and Metasurface Technologies
- Fluid Dynamics and Heat Transfer
- Energy Load and Power Forecasting
- Advanced Materials and Mechanics
- Neural Networks and Reservoir Computing
- Wind Turbine Control Systems
- Surface Modification and Superhydrophobicity
- Wind Energy Research and Development
- Machine Learning in Materials Science
- Innovative concrete reinforcement materials
- Mechanical Behavior of Composites
- Hydraulic Fracturing and Reservoir Analysis
- Force Microscopy Techniques and Applications
- Composite Material Mechanics
- High Entropy Alloys Studies
Shanghai Jiao Tong University
2022-2025
Fujian Medical University
2025
Union Hospital
2025
Beijing University of Technology
2025
University of Chinese Academy of Sciences
2024
Shanghai Institute of Optics and Fine Mechanics
2024
Chinese Academy of Sciences
2024
Beijing Normal University
2024
Xidian University
2002-2024
Xi'an University of Science and Technology
2023-2024
Machine learning approaches (ML) based on data-driven models are conducive to accelerating the assessments of martensitic transformation peak temperature (Tp) TiZrHfNiCoCu high entropy shape memory alloys (HESMAs) over a huge composition space. In this work, an interpretable machine workflow was established through dataset construction, feature selection, modeling and validation, model interpretation. We identified set key combinations closely related Tp, by exploiting Pearson correlation...
Lithium (Li)-metal batteries (LMBs) possess the highest theoretical energy density among current battery designs and thus have enormous potential for use in storage. However, development of LMBs has been severely hindered by safety concerns arising from dendrite growth unstable interphases on Li anode. Covalent organic frameworks (COFs) incorporating either redox-active or anionic moieties their backbones high Li-ion (Li+) conductivities mechanical/chemical stabilities, so are promising...
Drinking water contamination by heavy metals, particularly chromium and arsenic oxyanions, is a severe challenge threatening humanity's sustainable development. Electrochemically mediated purification gaining attention due to its high uptake, rapid kinetics, modularity, facile regeneration. Here, we designed composite electrode combining redox‐active/Faradaic polymer, poly(norbornene‐diphenothiazine) (PNP 2 ), with carbon nanotubes (CNTs) – PNP ‐CNT. The ‐CNT demonstrated exceptional...
To address the issue of sealing failure cement materials commonly used as wellbore plugging agents in CO2 geological storage, this study proposes a composite method that combines and Sn58Bi alloy. In method, structure "cement-Sn58Bi alloy-cement" is constructed within wellbore. evaluate performance series pressure-bearing gas-tightness experimental devices were designed, experiments conducted to assess capacity gas plugs. Additionally, optical microscopy was employed observe analyze...
Ideal solid electrolytes for lithium (Li) metal batteries should conduct Li
Thermal ablation has been adopted as one of the most common cancer treatment approaches in medical surgery. By increasing temperature (>50 °C) on cells, cells are destroyed because denaturation. Herein, an ultrathin Archimedean spiral pattern heater/sensor technology is introduced which can perform by attaching conformally onto organs for precise heating and sensing. In heater mode, linearly proportional to input joule power up 400 mW. sensor conformal metal wire also related resistance...
Abstract Lithium (Li)-metal batteries (LMBs) have the highest theoretical energy density of current battery designs and thus enormous potential for use in storage. However, safety problems caused by dendrite growth unstable interphases on Li anode severely impede their development. Covalent organic frameworks (COFs) containing either redox-active or anionic moieties backbones high Li-ion (Li + ) conductivities mechanical/chemical stabilities, so are promising solid-electrolyte LMBs. Here, we...
It is highly demanding and challenging to maximise the stiffness of interpenetrating phase composites (IPCs) while still keeping their isotropy. In this paper, elastic properties IPCs reinforced by three different types regular lattice fibre networks are investigated computer simulation analytical methods. The numerical results indicate that larger difference between Poisson's ratios smaller Young's moduli constituent materials, these are. also found structural hierarchy can enhance 30%....
Paraffin is a low-temperature phase change material, which often used to recover and store heat in solar thermal utilization system. This study aims reveal the development migration law of paraffin melting interface with time under influence finned heating plate, as well transfer mechanism, obtain ways methods enhance material through visual experiments numerical simulation. The research shows that once high liquid fraction connects mushy zone between fin top wall, vortexes increases...
Abstract Nanoscale polymeric thin films are widely used in diverse modern applications, where a satisfactory mechanical performance is requirement to their full functionality. The response of polymer strongly affected by the size effects under nanoconfinement; however, mechanism such terms molecular configurations and chain conformations has yet be determined. In this work, we reveal conformational origin stiffening behavior crosslinked nanofilms via coarse-grained dynamics tailored...
The cooling effect of turbine vane is great importance for ensuring thermal protection and economic operation gas turbines. This study aims to reveal the influence mechanism performance impingement heat transfer within a guide cavity. Then, cavity with complex pin fins structure numerically investigated at multi-hole by comparison experiment verification. results show that larger Reynolds number is, average Nusselt on upper lower surfaces increased as hole diameter increased. Comparing 1 16...
The demand for applications, such as coatings, separation filters, and electronic packaging, has greatly driven the research of polymer films. At nanometer scale, mechanical properties thin films can significantly deviate from bulk. Despite outstanding progresses, there still lack deep discussions on nonlinear viscoelastic–viscoplastic response their interactions under nanoconfinement. In this work, by conducting measurements via bubble inflation method modelling using Schapery Perzyna...
Generative design for materials has recently gained significant attention due to the rapid evolution of generative deep learning models. There have been a few successful demonstrations molecular-level structures with help graph neural networks. However, in realm macroscale material structures, most works are targeting two-dimensional, ungoverned structure generations. Hindered by complexity 3D it is hard extract customized multiple desired properties from large, unexplored space. Here we...
Earthquake is one of the most divesting natural events that threaten human life during history. After earthquake, having information about damaged or anomaly artificial surface area can be a great help in relief and reconstruction for disaster managers. It very important these measures should taken immediately after earthquake because any negligence could more criminal losses. In this study, we developed method near real-time, general robustly identify surfaces using 3DTF ASAI. This was...
Aerogel, characterized by its ultra-low density, high specific surface area, and low thermal conductivity, is a typical porous material. The polyimide (PI) aerogel, incorporating electrospun nanofibers, has garnered significant interest due to exceptional benefits in flexibility insulation. Traditional models of property prediction are unsuitable for PI nanofiber aerogel porosity (>90%) fiber randomness. This study focuses on constructing computational micro-mechanical model stochastic...
Incurable Alzheimer's disease (AD) plagues many elderly people and families. It is important to accurately diagnose predict it at an early stage. However, the existing methods have shortcomings, such as inability learn local global information extract effective features. In this paper, we propose a lightweight classification network Local Global Graph ConvNeXt. This model has hybrid architecture of convolutional neural Transformers. We build NeXt Block features structural magnetic resonance...
Ionic covalent organic frameworks (iCOFs) have garnered significant attention as potential single‐ion conductive solid‐state electrolytes, where researchers made great efforts in designing iCOF‐based composites, aiming to improve their intrinsic low conductivity. One successful case is fill iCOF channels with lithium salts, such bis(trifluoromethanesulfonyl)imide (LiTFSI). However, the ion transport mechanisms these composite electrolytes are still largely unknown, hindering further...
The evaluation of flow dynamics in fractured shale oil reservoirs presents significant challenges due to the complex pore configurations and high organic material concentration. Conventional methods for petrophysical fluid dynamic evaluations are insufficient addressing these complexities. However, nuclear magnetic resonance (NMR) technology is an effective technique quantitatively delineating micro-transport properties across reservoir core. This study experimental methodology rooted NMR...
In the More‐than‐Moore era, explosive growth of data and information has driven exploration alternative non‐von Neumann computational paradigms. Photonic neuromorphic computing emerged as a promising approach, offering high speed, wide bandwidth, massive parallelism. Herein, high‐resolution optical convolutional neural network (OCNN) is introduced using phase‐change material Ge 2 Sb Te 5 (GST)‐based microring hybrid waveguides. This on‐chip platform integrates GST into photonic devices,...