Peyin Liu

Multimodal Detection of Microplastics in Water Based on the Integration of Triboelectric Nanogenerators and Machine Learning

Huiping Li, Zhihong Zhang, Bin Li, Peyin Liu et autres

ABSTRACT Microplastics (MPs) can enter the human body via the food chain and induce irreversible health risks. Based on triboelectric nanogenerator (TENG) technology, this study developed a droplet microfluidic system for the real‐time detection of MPs in aqueous environments. For the classification …

cn (code pays fourni par la source)

Sea-otter-forepaw-inspired tactile sensor for simultaneous underwater material and texture recognition

ZhaoLi Chen, Peyin Liu, Xiaolan Jia, Bo Lu et autres

cn (code pays fourni par la source)

Machine-Learning-Assisted Fingerprint-Inspired Triboelectric Tactile Sensor for High-Performance Material and Texture Discrimination

Xiaolan Jia, Peyin Liu, Haifeng Qian, Sichen Lu et autres

The simultaneous and precise discrimination of material types and textural features constitutes a fundamental challenge in intelligent tactile perception owing to coupled inherent material charge transfer properties and texture-induced charge distributions. Inspired by human fingerprint biomechanics, this study presents a multimodal biomimetic …

cn, gb (code pays fourni par la source)

Real-time detection for water pollutant based on triboelectric nanogenerators and machine learning

Zhijie Zhang, Wei Long, Peyin Liu

cn (code pays fourni par la source)

Microplastic detection and recognition system enabled by a triboelectric nanogenerator and machine learning techniques

Peyin Liu, Wei Long, Zhijie Zhang, Bin Li et autres

The toxicity of microplastic pollutants is closely associated with their material, size, and concentration. However, current detection methods are plagued by issues such as high cost, long processing times, and inadequate database coverage. Therefore, this study designed and developed a simple and …

cn (code pays fourni par la source)