Results 71 to 80 of about 36,779 (249)

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Software engineering teaching quality assessment system based on dempster’s formula and hierarchical analysis method

Systems and Soft Computing
As China's education system undergoes significant reform, the number of schools is growing, as are the standards for teaching quality. The objective is to ensure effective supervision and assurance of teaching quality.
Tinghong Gao
doaj   +1 more source

Suggestions on the development strategy of shale gas in China

Journal of Natural Gas Geoscience, 2016
From the aspects of shale gas resource condition, main exploration and development progress, important breakthrough in key technologies and equipment, this paper systematically summarized and analyzed current situation of shale gas development in China ...
Dazhong Dong, Caineng Zou, Jinxing Dai, Shipeng Huang, Junwei Zheng, Jianming Gong, Yuman Wang, Xinjing Li, Quanzhong Guan, Chenchen Zhang, Jinliang Huang, Shufang Wang, Dexun Liu, Zhen Qiu   +13 more
doaj   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Evaluation of usage patterns for web-based educational systems using web mining [PDF]

, 2001
Virtual courses often separate teacher and student physically from one another, resulting in less direct feedback. The evaluation of virtual courses and other computer-supported educational systems is therefore of major importance in order to monitor ...
Donnellan, David, Pahl, Claus
core   +2 more sources

Framework Design and Key Technology Research of Digital Twin Substation

工程科学与技术, 2023
The development of digital twin (DT) technology brings many conveniences to the intelligent management of power systems.However, as a key technology to promote the digitalization and intelligence of the energy and power industry, related research and ...
Ji ZHANG, Ye MA, Ronghua ZHANG, Chunhong DUO   +3 more
doaj  

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Career planning matters: Intelligence-based career path predictions using data mining models - A longitudinal study

Mehran University Research Journal of Engineering and Technology
It is essential for students to plan their careers because selecting the right career path shapes a person’s life. In such disciplines as computer science, information technology, and software engineering, assisting students toward appropriate employment
Khalid Mahboob, Raheela Asif, Najmi Ghani Haider   +2 more
doaj   +1 more source

IEEE Access Special Section Editorial: GNSS, Localization, and Navigation Technologies

IEEE Access, 2019
Position and time are some of the most vital pieces of information for convenience, security, and safety in our daily lives and have enabled innovative advancements in many science and engineering fields.
Seung-Hyun Kong, Jose A. Lopez-Salcedo, Yuanxin Wu, Euiho Kim   +3 more
doaj   +1 more source