Results 101 to 110 of about 43,844 (258)

Side‐Chain Asymmetry in Quinoxaline Copolymer Donors Enables Optimal Morphology and Improved Charge Dynamics for High‐Efficiency Organic Solar Cells

Advanced Science, EarlyView.
Side‐chain asymmetry in quinoxaline copolymer donors modulates donor–acceptor miscibility and blend morphology in all‐polymer solar cells. The asymmetric donor PBAQ6 enables more balanced charge transport, reduced recombination, and improved charge dynamics with PYF‐T‐o, delivering PCEs of 18.35% in binary devices and 19.52% in ternary devices ...
Can Zhu, Jinyuan Zhang, Ke Hu, Shirong Lu, Jianqi Zhang, Shucheng Qin, Hong Zhang, Yule Cheng, Wenbin Lai, Beibei Qiu, Jing Guo, Lei Meng, Gang Li, Yongfang Li   +13 more
wiley   +1 more source

Boosting approach to brine viscosity estimation: Binary system development

Chemical Thermodynamics and Thermal Analysis
Accurate prediction of brine viscosity is essential for the design and optimisation of desalination, hydrometallurgical, and energy-storage systems. In this work, machine-learning-based regression models were developed to predict the viscosity of binary ...
Vinita Sangwan, Rashmi Bhardwaj, Andrés Soto-Bubert, Roberto Acevedo   +3 more
doaj   +1 more source

Microfluidic Gratings for X‐Ray Phase Contrast Imaging

Advanced Science, EarlyView.
This work establishes a new protocol for the fabrication of X‐ray gratings that exploits the advantages of microfluidics and enables a more inexpensive, faster, and scalable production process. These X‐ray devices are fundamental for implementing X‐ray phase contrast imaging (XPCI) in laboratory and clinical settings, yet their costly and complex ...
Alessandro Rossi, Antonio Ferraro, Francesco Coccimiglio, Tiziana Ritacco, Alberto Astolfo, Michele Giocondo, Vincenzo Formoso, Raffaele Giuseppe Agostino, Francesco Iacoviello, Ioannis Papakonstantinou, Alessandro Olivo   +10 more
wiley   +1 more source

Consensus-based feature selection and Bayesian-optimized stacking ensembles for comprehensive fault diagnosis in series-compensated ultra-high-voltage power systems

Scientific Reports
Modern power systems incorporate ultra-high-voltage transmission lines with series compensation to enhance their reliability and stability. These configurations generate complex data patterns in electrical signals, which present challenges for accurate ...
Rab Nawaz, Affaq Qamar, Abdul Wadood, Hani Albalawi   +3 more
doaj   +1 more source

Comparison of the Performance of Gradient Boosting and Extreme Gradient Boosting Methods in Classifying Timms Science Achievement

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
This study aims to compare the classification performance of machine learning methods Gradient Boosting (GB) and Extreme Gradient Boosting (XGBoost). The Trends in International Mathematics and Science Study 2019 (TIMSS 2019) science data set was used in the study.
openaire   +2 more sources

Mechanically Robust, Self‐Healable, and Cryotolerant GelMA Hydrogel for Wearable Tactile Sensors with Enhanced Durability, Lifetime, and Environmental Stability

Advanced Science, EarlyView.
A mechanically robust, self‐healable, moisturizing, cryotolerant and adhesive GelMA hydrogel is developed by incorporating polyvinyl alcohol, acrylic acid, sodium tetraborate, and glycerol into GelMA matrix via a photoinitiated polymerization process. The hydrogel‐derived omni‐healable ionotronic pressure sensor can sensitively and consistently monitor
Zhikang Li, Gengyu Han, Boqing Jia, Jijian Lu, Changxu Zhang, Bin Wang, Jiaxiang Wang, Kang Zhao, Muhammad Afzal Khan Qureshi, Lan Yu, Min Li, Guoxi Luo, Tong Wang, Qijing Lin, Weishi Li, Libo Zhao, Yumeng Xue   +16 more
wiley   +1 more source

Construction of a prediction model for the preoperative frailty risk of breast cancer patients based on interpretable machine learning algorithms

Huli yanjiu
ObjectiveTo analyze the influencing factors of preoperative frailty in breast cancer patients and to develop a risk prediction model.MethodsA total of 583 inpatients scheduled for surgical treatment in the breast surgery departments of two Grade A ...
ZHANG Qing, ZHANG Ying, DONG Jianli, YU Wenlong, XIONG Yinhuan, ZHAO Jiayue, XU Hongmei   +6 more
doaj  

Predicting compressive and tensile strength of concrete with different sand types using machine learning

Ain Shams Engineering Journal
The study evaluates the prediction accuracy of concrete compressive and tensile strength using machine learning and deep learning models with diverse sand materials, cement types, and filler combinations.
Tarek Salem Abdennaji, Rupesh Kumar Tipu, Yahya Alassaf   +2 more
doaj   +1 more source

Implementation of the Energy Power Prediction Using Light Gradient Boosting Machine and Hybrid of Extreme Gradient Boosting

International Journal of Scientific Research in Science, Engineering and Technology
Accurate energy power prediction has become increasingly critical for modern power systems, enabling efficient grid operation, optimal resource allocation, and substantial cost savings. This paper presents a comprehensive comparative review of energy power prediction methodologies, focusing on Light Gradient Boosting Machine (LGBM) and a hybrid ...
Raj, Rishu, Arora, Sapna Rani
openaire   +1 more source

Improving High‐Temperature Operational Stability of Inverted Perovskite Solar Cells Through MXene Heat‐Dissipating Layers

Advanced Science, EarlyView.
MeO‐2PACz‐functionalized MXene nanosheets create a thermally conductive buried interface in inverted perovskite solar cells. The interface improves heat spreading, suppresses defects and ion migration, and strengthens charge extraction, extending T80 at 65°C from 141 to 687 h while maintaining competitive efficiency.
Masoud Karimipour, Nil Monrós Oliveras, Zhenchuan Tian, Timm Swoboda, Francesco Salutari, Marianna Sledzinska, Maria Chiara Spadaro, Kenedy Tabah Tanko, Javier Rodríguez‐Viejo, Jordi Arbiol, Tiankai Zhang, Feng Gao, Monica Lira‐Cantu   +12 more
wiley   +1 more source