Results 71 to 80 of about 2,418,377 (304)

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

Prospect Green Map: a community map of environmental, historical, cultural, civic, and recreational sites

A map detailing the sites of interest and importance in the Prospect, NC, and the Robeson County area of North Carolina.
Robeson County Green Map Project
core   +1 more source

Landslide susceptibility assessment in the Altai Mountains, Xinjiang, China: integrating multi-source conditioning factors and interpretable machine learning

Geomatics, Natural Hazards & Risk
The cold alpine Altai Mountains in Xinjiang, China, are affected by strong topographic incision, complex tectonics, and valley-corridor engineering disturbance, yet regional landslide susceptibility studies integrating multi-source factor screening ...
Zhiqi Liu, Zizhao Zhang, Kai Chen, Peng Huang, Lifeng Chen, Xiaowei Lu, Kuoao Wang   +6 more
doaj   +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

Numerical Imaging Characterization of Three-Dimensional Velocity Fields for Creep Damage Evolution in Surrounding Rock of Deep Roadways

Applied Sciences
To characterize the three-dimensional evolution of creep damage in deep roadway surrounding rock, this study establishes a COMSOL-based (Multiphysics 6.3) integrated analysis framework coupling creep damage, seismic velocity response and three ...
Shichao Yang, Yongsheng Cao, Xulong Yao, Daixing Hu, Guangliang Yan, Yuwei Wang, Hao Zhou   +6 more
doaj   +1 more source

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

Research on the characteristics and mechanism of bottom expansion backfilling anchoring reinforcement in fractured surrounding rock roadway

Scientific Reports
The weak anchoring force and poor stability of the anchoring system in fractured surrounding rock roadway often lead to anchor rod slip failure, which seriously affects the safe and efficient mining of the mine.
Shuai Wang, Gang Jing, Liqiang Ma, Leilei Zhao, Weiguang Zhang, Hua Nan   +5 more
doaj   +1 more source

Leveraging Data‐Driven and Fundamental Insights for Electrolyte Innovation in Lithium Metal Batteries

Advanced Materials, EarlyView.
Using 640 curated electrolyte formulations, we apply data‐driven analysis to reveal how molecular features govern coulombic efficiency (CE) in lithium metal batteries. Fluorine content correlates positively with CE, while oxygen, carbon, and higher boiling points correlate negatively.
Minh Van Duong, Mitchell Kaiser, Xia Cao, Trung Thien Nguyen, Au Nguyen, Phung My Loan Le, Jun Liu   +6 more
wiley   +1 more source

Principles of Green Data Mining [PDF]

Proceedings of the Annual Hawaii International Conference on System Sciences, 2019
Johannes Schneider 0002, Marcus Basalla, Stefan Seidel 0001   +2 more
openaire   +2 more sources

Efficient Hydroxyl Diffusion Triggers Surface Hydronium Enrichment and Bulk Proton Participation to Boost Alkaline Hydrogen‐Evolving Reaction

Advanced Materials, EarlyView.
For the first time, we shed light on the surface‐to‐bulk diffusion, induction, and reaction behaviors of OH−, H+, and H2O species on model oxides for alkaline hydrogen‐evolving reaction (HER). We first demonstrate that bulk OH− diffusion significantly affects the generation of proton sources and the diffusion/reaction behaviors of protons, thus ...
Daqin Guan, Hengyue Xu, Xiao Sun, Leqi Zhao, Chun‐Kuo Peng, Chao Jing, Yu‐Cheng Huang, Jiayi Tang, Nai Shi, Zezhou Lin, Xiaomin Xu, Zhiwei Hu, Zongping Shao   +12 more
wiley   +1 more source