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Characteristics of Three-Dimensional Pore-Fracture Network Development and Enhanced Seepage Heat Transfer in Hot Dry Rock Stimulated by Temperature Shock Effects.
ACS Omega
December 2024
State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China.
Hot dry rock (HDR) geothermal is a sustainable and clean energy source. However, its development progress is hindered by creating seepage channels in deep reservoirs with low porosity and permeability. Traditional hydraulic fracturing techniques are ineffective for enhancing the permeability of these high-strength reservoirs.
View Article and Find Full Text PDFOptimization of Compression Molding Parameters and Lifecycle Carbon Impact Assessment of Bamboo Fiber-Reinforced Polypropylene Composites.
Polymers (Basel)
December 2024
Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China.
Driven by global carbon neutrality goals, bamboo fiber-reinforced PP composites have shown significant potential for automotive applications due to their renewability, low carbon emissions, and superior mechanical properties. However, the environmental complexities associated with compression molding process parameters, which impact material properties and carbon emissions, pose challenges for large-scale adoption. This study systematically optimized the compression molding process of bamboo fiber-reinforced PP composites through a three-factor, five-level experimental design, focusing on preheating temperature, preheating time, and holding time.
View Article and Find Full Text PDFDirecting Zn Growth with Biased Adsorption of Straight-chain Molecules for Superior Zn Anode Stability.
Angew Chem Int Ed Engl
December 2024
College of Materials Science and Engineering, Science and Education Integration College of Energy and Carbon Neutrality, College of Chemical Engineering, Zhejiang University of Technology, 18 Chaowang Road, Hangzhou, 310014, P. R. China.
Aqueous zinc ion batteries (AZIBs), which have attracted attentions in the field of energy storage, is affected by dendrites and side reactions of Zn anode, resulting in an unsatisfactory performance of AZIBs. Herein, we propose a biased adsorption strategy mediated by straight-chain molecule (Scm) for stabilizing Zn anode. The dual polar termini of Scms guaranties securely anchor themselves in a parallel orientation upon the Zn anode surface.
View Article and Find Full Text PDFFERDCNN: an efficient method for facial expression recognition through deep convolutional neural networks.
PeerJ Comput Sci
October 2024
Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt.
Facial expression recognition (FER) has caught the research community's attention recently because it can affect many real-life applications. Multiple studies have focused on automatic FER, most of which use a machine learning methodology, FER has continued to be a difficult and exciting issue in computer vision. Deep learning has recently drawn increased attention as a solution to several practical issues, including facial expression recognition.
View Article and Find Full Text PDF[Prediction of Agricultural Carbon Emission Based on Improved BP Neural Network with Optimized Sparrow Search Algorithm].
Huan Jing Ke Xue
December 2024
State Key Laboratory of Pollution Control and Resource Reuse, School of Environment, Nanjing University, Nanjing 210023, China.
The accurate forecasting of agricultural carbon emissions is essential for formulating strategies to achieve carbon peak and neutrality objectives within the agricultural sector. However, existing methodologies for predicting agricultural carbon emissions have notable limitations. To address these shortcomings, Shanghai farm was considered as a case study to conduct research utilizing a neural network approach.
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