A5100667532- Evacuation and Crowd Dynamics
- Fire dynamics and safety research
- Traffic control and management
- Traffic and Road Safety
- Machine Learning in Materials Science
- Flame retardant materials and properties
- Protein Structure and Dynamics
- Fire effects on ecosystems
- Lubricants and Their Additives
- Combustion and Detonation Processes
- Conducting polymers and applications
- Computational Drug Discovery Methods
- Biosensors and Analytical Detection
- Spectroscopy Techniques in Biomedical and Chemical Research
- Polymer Surface Interaction Studies
- Orthopaedic implants and arthroplasty
- Neuroinflammation and Neurodegeneration Mechanisms
- Advanced battery technologies research
- Advanced Chemical Physics Studies
- Polymer composites and self-healing
- Fire Detection and Safety Systems
- Advanced Sensor and Energy Harvesting Materials
- Force Microscopy Techniques and Applications
- Fuel Cells and Related Materials
- Neural Networks and Applications
Tsinghua University
2023-2025
Tsinghua–Berkeley Shenzhen Institute
2022-2025
Beijing Tian Tan Hospital
2025
Southwest Jiaotong University
2014-2024
Beijing University of Technology
2020-2022
Shantou University
2022
Guangzhou University
2017-2021
Xiamen University
2021
Henan University of Technology
2021
Collaborative Innovation Center of Chemistry for Energy Materials
2021
Flexible solid-state rechargeable batteries have attracted extensive attention for their potential to accommodate the deep integration of humans and flexible electronics. To achieve a wide operating temperature range −20 70 °C as well good flexibility safety, novel aqueous Zn–air battery was developed is reported herein. This possessed temperature-resistance, long-term stability, excellent mechanical properties, low interfacial resistance, safety. The exhibited power density 11.8 mW cm–2,...
In the simulation of molecular systems, underlying force field (FF) model plays an extremely important role in determining reliability simulation. However, quality state-of-the-art fields is still unsatisfactory many cases, and FF parameterization process largely relies on human experience, which not scalable. To address this issue, we introduce DMFF, open-source development platform based automatic differentiation technique. DMFF serves as a powerful tool for both top-down bottom-up...
A controllable Co doping strategy is introduced to significantly activate more catalytic sites for Mn-based materials and anchor Co-Mn nanoparticles on the N-doped carbon nanotube (N-CNT) substrates. The as-synthesized CoMn2O4/N-CNTs exhibit excellent ORR performance with large limited current density positive half-wave potential, even outperforming Pt/C catalysts. outstanding activity allows directly serve as cathode electrode in a liquid/solid state Zn-air battery, demonstrating power...
Ischemic stroke is a leading cause of disability worldwide and characteristically accompanied by downregulation the Wnt/β-catenin signaling. Activation signaling emerges to attenuate neuroinflammation after ischemic stroke; however, its effect on modulating microglial polarization largely unknown. Here, we explored whether pathway activator TWS119 facilitated long-term neurological recovery via microglia experimental stroke.Ischemic mice model was induced permanent distal middle cerebral...
Our previous work has shown that atorvastatin exerts anti-inflammatory properties in ischemic stroke, and recent studies have revealed intestinal microbiota plays a vital role the pathogenesis of stroke. However, it is not clear whether effects against stroke related to gut function microbiota. We report herein significantly ameliorated defects sensorimotor behaviors reduced microglia-mediated neuroinflammation by inhibiting proinflammatory polarization microglia peri-infarct cortex mice...
An accurate, generalizable, and transferable force field plays a crucial role in the molecular dynamics simulations of organic polymers biomolecules. Conventional empirical fields often fail to capture precise intermolecular interactions due their negligence important physics, such as polarization, charge penetration, many-body dispersion, etc. Moreover, parameterization these relies heavily on top-down fittings, limiting transferabilities new systems where experimental data are unavailable....
Background: Ischemic stroke is the most common cerebrovascular disease worldwide and leading cause of permanent disability, which imposes a heavy burden on society families. Currently, there are still limited treatments for improving long-term recovery after cerebral infarction. Recent studies have found that development prognosis closely related to abnormal tryptophan metabolism. In this study, we aimed identify metabolites with ischemic protective effects in patients animal models...
Accurately describing long-range interactions is a significant challenge in molecular dynamics (MD) simulations of proteins. High-quality potential also an important component the range-separated machine learning force field. This study introduces comprehensive asymptotic parameter database encompassing atomic multipole moments, polarizabilities, and dispersion coefficients. Leveraging active learning, our comprehensively represents protein fragments with up to 8 heavy atoms, capturing their...
Abstract Intelligent lubricating materials can control the coefficient of friction between interfaces in response to external stimuli. Considering that mechanical transmission parts are mostly used oil‐based lubrication environments, performance and electrical regulation mechanism poly‐α‐olefin‐50 (PAO50), a oil, containing 1‐octyl‐3‐methylimidazolium hexafluorophosphate ([OMIm]PF 6 ), an ionic liquid (IL), investigated this study. Friction tests on universal micro‐tribometer under current...
The simulation software Simulex was adopted to study the emergency evacuation process of island type subway elevated station and determine "bottleneck" positions. effects positions on personnel crowded degree were studied by changing conditions at Results show that staircases connecting platform ticket hall, are identified as during evacuation, where crowd congestion appears easily. Moreover, stair effective width evaluated combination total time stairway level service, obtain more objective...
Accurately describing long-range interactions is a significant challenge in molecular dynamics (MD) simulations of proteins. And high-quality potential also an important component range-separated machine learning force field. This study introduces comprehensive asymptotic parameter database, encompassing atomic multipole moments, polarizabilities, and dispersion coefficients. Leveraging active learning, our database comprehensively represents protein fragments with up to 8 heavy atoms,...