Results 71 to 80 of about 89,006 (279)
Scalable Electrochemical Concrete Fabrication and Closed‐Loop Recycling
The electrochemical‐driven recycling strategy establishes a reversible concrete material flow by extracting Ca, Si, Al, and Fe from concrete waste and regenerating functional feedstocks. These reversed products are reassembled into new concrete, which re‐enters service and ultimately returns to waste, enabling a closed‐loop, waste‐origin, and low ...
Hanxiong Lyu +7 more
wiley +1 more source
Towards real-time optimal control of wind farms using large-eddy simulations [PDF]
Large-eddy simulations (LESs) are commonly considered too slow to serve as a practical wind farm control model. Using coarser grid resolutions, this study examines the feasibility of LES for real-time, receding-horizon control to optimize the overall ...
N. Janssens, J. Meyers
doaj +1 more source
Key Issues of China's Offshore Wind Power Development in the “14th Five-Year Plan”
Since 2016, China's offshore wind power has developed rapidly, completing the "13th Five-Year Plan" target one year ahead of schedule. In light of the "13th Five-Year Plan" and the development and operation experience of European offshore wind power, the
Zhiyong SHI, Caixia WANG, Qionghui LI
doaj +1 more source
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley +1 more source
Concentrated Photo Voltaics (CPV): a case study
Concentrated PhotoVoltaic (CPV), among green energy solutions, nowadays has the ambition to reach grid-parity without subside. CPV substitutes large areas of expensive semiconductor solar cells, with concentrating optics made of cheap materials. Moreover
Centro S.
doaj +1 more source
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley +1 more source
Economic Analysis of Offshore Wind Power in Grid Parity Stage in Guangdong Province
[Objective] Offshore wind power is one of the important ways to achieve carbon peaking and carbon neutrality in the future, and has a good development prospect.
Rui ZHAO, Ying CHEN
doaj +1 more source
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
Genomic Structural Variations Provide Insights Into Litter Size and Teat Number Traits in Hu Sheep
Here, we conducted whole genome sequencing on 300 Hu sheep with an average depth of 16.51X. Two candidate genes associated with litter size and teat number traits were identified, namely MAST2 and AFDN. ABSTRACT Litter size and the teat number are important economic indicators in sheep production.
Xin Xiang +3 more
wiley +1 more source
Overall review of distributed photovoltaic development in China: process, dynamic, and theories
Non-technical summary DPV systems, typically small to medium-sized solar power installations on buildings, which primarily and directly supply electricity to industrial, commercial, or residential consumers in proximity.
Alex Hongliang Zhang +1 more
doaj +1 more source

