Results 151 to 160 of about 33,873 (284)

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Smart and efficient waste management through wireless IoT-enabled deep learning. [PDF]

Sci Rep
Latha P, Benni NS, Asuti MG, Thamaraiselvi K.   +3 more
europepmc   +1 more source

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

Determining the percentage of recycled plastic content in a plastic product. [PDF]

Commun Eng
Zhao Y, Adhivarahan C, Jyothula CL, Dantu K, Thundat T, Goyal A.   +5 more
europepmc   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

DNA methylation profiling in central nervous system tumors: Where do we draw the line of clinical utility? [PDF]

World J Exp Med
Das S.
europepmc   +1 more source

Robust and Thermally Stable Silicone Aerogels with Hyperconnected Network via Kinetically Optimized Hyperbranched Silane Precursors

Advanced Science, EarlyView.
Reactivity‐Programmed Assembly: A kinetic‐control strategy is reported for constructing hyperconnected silicone aerogels with a robust “thick‐neck” architecture. By exploiting the reactivity disparity of precursors, flexible segments are uniformly embedded within a rigid skeleton.
Aoqing Yan, Guixiang Li, Yaolan Li, Yi Luo, Bin Liu, Zhe Su, Hao Tian, Wei Shi, Bo Niu, Donghui Long   +9 more
wiley   +1 more source

High-Accuracy and Efficient Classification of Uranium Slag by Origin and Category via LIBS Integrated with Hybrid Machine Learning. [PDF]

Sensors (Basel)
Zhang M, Li H, Deng L, Hua R, Zhang X, Wu D, Wang X, Liu X, Liu Z, Liu X.   +9 more
europepmc   +1 more source

AI-Powered Waste Management: A Vision-Based Plastic Waste Classifier Using OpenCV

The improper disposal and inefficient sorting of plastic waste pose a significantenvironmental threat. In this paper, we propose an AI-powered plastic waste classificationsystem using computer vision techniques with OpenCV. The proposed system capturesimages of waste materials, preprocesses them using filters and contour detection, and thenclassifies ...
openaire   +2 more sources

Multi‐scale Optimization on Interfacial Evaporative Cooling for Photovoltaic Performance Enhancement

Advanced Science, EarlyView.
This study presents a passive siphon‐driven interfacial evaporative cooling technology for photovoltaics. A multiscale multiphysics model is developed and validated experimentally. Results show that optimizing installation parameters reduces operating temperature by up to 22.3 °C and boosts power efficiency by 8.9%, offering a practical pathway for ...
Fuxiang Li, Haosheng Lin, Zengguang Sui, Yunren Sui, Zhixiong Ding, Wei Wu   +5 more
wiley   +1 more source