A5100590391- Advanced Memory and Neural Computing
- Seismic and Structural Analysis of Tall Buildings
- Neural Networks and Reservoir Computing
- Seismic Performance and Analysis
- Perovskite Materials and Applications
- Vibration and Dynamic Analysis
- Adaptive optics and wavefront sensing
- Optical Systems and Laser Technology
- Conducting polymers and applications
- Plasmonic and Surface Plasmon Research
- Wind and Air Flow Studies
- Biochemical effects in animals
- Adipose Tissue and Metabolism
- Metamaterials and Metasurfaces Applications
- Machine Fault Diagnosis Techniques
- Neural dynamics and brain function
- Sirtuins and Resveratrol in Medicine
- Gear and Bearing Dynamics Analysis
- Human-Automation Interaction and Safety
- Adhesion, Friction, and Surface Interactions
- Reliability and Maintenance Optimization
- Traffic control and management
- Sarcoidosis and Beryllium Toxicity Research
- Structural Health Monitoring Techniques
- Electrical Contact Performance and Analysis
Nanjing Xiaozhuang University
2025
Jilin University
2023-2025
Shanghai Tongji Urban Planning and Design Institute
2022-2024
Wuhan University
2023-2024
Soochow University
2024
Zhongnan Hospital of Wuhan University
2023-2024
Tongji University
2023-2024
Heilongjiang University of Chinese Medicine
2024
Huaqiao University
2022
Shandong Jianzhu University
2022
Abstract Organic ion‐gated transistors (OIGTs) demonstrate commendable performance for versatile neuromorphic systems. However, due to the fragility of organic materials solvents, efficient and reliable all‐photolithography methods scalable manufacturing high‐density OIGT arrays with multimode functions are still missing, especially when all active layers patterned in high‐density. Here, a flexible (9662 devices per cm 2 ) array high yield minimal device‐to‐device variation is fabricated by...
Abstract Heterojunctions of perovskite quantum dots (QDs) and organic semiconductors (OSCs) can synergistically leverage the unique optoelectronic properties different functional components to fabricate advanced devices, such as neuromorphic photosensors, by low‐cost solution processes. However, a long‐lasting challenge remains in micropatterning high‐density QDs/polymer OSCs heterojunction array with high yield reliability due fragility layers solvents. High‐density micro‐structure...
Organic optoelectronic synaptic devices that can reliably operate in high-temperature environments (i.e., beyond 121°C) or remain stable after treatments have significant potential biomedical electronics and bionic robotic engineering. However, it is challenging to acquire this type of organic considering the thermal instability conventional materials degradation photoresponse mechanisms at high temperatures. Here, phototransistors (HTSPs) based on thermally semiconductor polymer blends as...
A fully stretchable artificial pain perception nociceptor is prepared. The device stretched in various ways with stable synaptic and simulation performance. This work contributes to the development of flexible sensor devices.
Abstract For most organic synaptic transistors based on the charge trapping effect, different atmosphere conditions lead to significantly device performance. Some devices even lose responses under vacuum or inert atmosphere. The stable performance of these varied working environments with humidity and oxygen levels can be a challenge. Herein, moisture‐ oxygen‐insensitive semiconductor photoinitiator molecules is reported. Unlike widely reported photoinduced free radical utilized realize...
Landscape degradation and habitat fragmentation are some of the most urgent environmental problems associated with human development regional integrated planning. Regional ecological network planning involves connecting high-quality habitats reducing negative impact landscape on remaining natural patches through structural functional connectivity. The concept “mountains–rivers–forests–farmlands–lakes–grasslands life community”, as a system to solve whole problem in China, associates all...
<p>Multi-Core Supertall Buildings is connected by coupling trusses, whose main structural feature significantly different from traditional core-tube structures. The strength of the connection between trusses and structure influence factor index bearing capacity components. Therefor sensitivity analysis should be conducted on impact adjustments taken to control index. paper takes a multi-core supertall as an engineering case explore under earthquake stiffness constraints performance....
<p>The multi-petal tower is a favorable alternative type for supertall buildings because of its distinctive appearance and high wind-resistant performance. The coupling trusses are the important member to connect petals form stable structural system. selection location material distribution great research value. In this paper, characteristics application scenarios various sensitivity analysis methods compared. And incremental method selected assist determining about optimal arrangement...
<p>Given the growing requirements for architectural space, large-span and long-cantilever floor structures have become prevalent in urban complexes. Large-span low fundamental vibration frequency due to weak vertical stiffness, generate greater induced by human activity. Human comfort of becomes a determining factor structural design. To effectively improve vibration, it is necessary adopt efficient reduction measures that do not affect functions relatively limited costs. This paper...
Assumptions accompanying exponential failure models are often not met in the standard sequential probability ratio test (SPRT) of many products. However, for most mechanical products, Weibull distribution conforms to their life distributions better compared other techniques. The SPRT method is derived this paper, which enables implementation reliability compliance tests gearboxes. Using historical data and condition monitoring data, a prediction model based on hidden Markov (HMM) established...
Traffic signal control has the potential to reduce congestion in dynamic networks. Recent studies show that traffic with reinforcement learning (RL) methods can significantly average waiting time. However, a shortcoming of existing is they require model retraining for new intersections different structures. In this paper, we propose novel approach augmented data (ADLight) train universal We agent design incorporating features on movements and actions set current phase duration allow...