Results 181 to 190 of about 77,468 (304)
Defect‐Functionalization‐Mediated Tunneling Drives Nonlinear Photoemission in Perovskites
This cover illustration depicts CsPbBr3 perovskite nanocrystals embedded with functionalized defect vacancies, where electrons migrate through defect‐mediated pathways and emit as lightning‐like beams. The imagery visualizes the core discovery of our work—defect‐functionalization‐mediated tunneling enabling nonlinear photoemission, where deep‐level ...
Hang Ren +9 more
wiley +1 more source
Study on the relationship between medical staff's knowledge, attitudes, and practices regarding medical waste classification and personality traits. [PDF]
Wang J, Liu M, Wang D.
europepmc +1 more source
Zero-Shot Learning for Sustainable Municipal Waste Classification
Automated waste classification is an essential step toward efficient recycling and waste management. Traditional deep learning models, such as convolutional neural networks, rely on extensive labeled datasets to achieve high accuracy.
Pepijn Van de Ven +5 more
core +1 more source
Foliar spraying of CS‐CDs can form a film on the leaves of Brassica rapa, effectively reducing the enrichment and absorption of PS in the leaves, while increasing the biomass and nutrient content of the plants. In addition, CS‐CDs can also enrich the interfoliar microbial community and activate the plant's own defense metabolic pathways.
Beibei Zhao +6 more
wiley +1 more source
AI for Sustainable Recycling: Efficient Model Optimization for Waste Classification Systems. [PDF]
Chacón-Albero O +5 more
europepmc +1 more source
A rotational energy harvesting device that successfully reconciles high power density with mechanical durability through a hybrid sliding‐and‐bouncing kinematic mechanism is reported. The success reported in our paper includes addressing a dilemma where enhanced electrical output comes at the cost of increased friction and wear, limiting the practical ...
Yihong Lin +12 more
wiley +1 more source
A direct cascaded utilization strategy for spent LiFePO4 batteries efficiently extracts lithium from brine, embodying the “urban mining” concept. Phase fraction modulation revealed its significant impact on local bond lengths of crystal structure and the Li/Na diffusion energy barrier, identifying the best material (Li0.19FePO4) for lithium extraction.
Ruiqi Yin +7 more
wiley +1 more source
Advancing e-waste classification with customizable YOLO based deep learning models. [PDF]
Rajeev PA +6 more
europepmc +1 more source
Through a systematic and comprehensive analysis of the environmental impacts for the emerging MXene synthesis pathways, this study presents process transformation and optimization opportunities for low‐carbon MXene production from laboratory to industrial scales.
Yushuai Huang +6 more
wiley +1 more source
Blockchain based solid waste classification with AI powered tracking and IoT integration. [PDF]
Alabdali AM.
europepmc +1 more source

