Results 131 to 140 of about 142,624 (305)
Computational Modeling of Reticular Materials: The Past, the Present, and the Future
Advanced Materials, EarlyView.Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman +3 more
wiley +1 more source
Image featuring for retrieval of multimedia documents
, 2001 The utilization of massive multimedia documents collections, such as multimedia documents in the global Internet, needs search engines which can rank using both text and image evidence.
Chowdhury, Morshed, Haque, Nazmul
core
Retrospective Review on Reticular Materials: Facts and Figures Over the Last 30 Years
Advanced Materials, EarlyView.To shape the future course of research in reticular materials, this work reflects on the progress over the past 30 years, complemented by input from the community of 228 active researchers through a global, crowdsourced survey: ranging from demographics, how it works, publish and interact, to highlights on both academic and industrial milestones, as ...
Aamod V. Desai +8 more
wiley +1 more source
Advanced Materials, EarlyView.This review systematically examines the nanomechanical mechanisms of mussel‐inspired molecular interactions, primarily investigated by direct force measurement techniques such as surface forces apparatus and atomic force microscopy. The macroscopic adhesive and self‐healing performances of mussel‐inspired functional materials, including coacervates ...
Pan Huang, Hongjian Zhang, Hongbo Zeng
wiley +1 more source
CONTENT AND USER CLICK BASED PAGE RANKING FOR IMPROVED WEB INFORMATION RETRIEVAL [PDF]
, 2020 Dhiliphan Rajkumar.T +2 more
openalex +1 more source
AI‐Driven Defect Engineering for Advanced Thermoelectric Materials
Advanced Materials, EarlyView.This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu +9 more
wiley +1 more source
大数据Computer education is one of the requirements of modern information society education. With the development of large language models, there has been increasing attention on applying these models to the computer education process.
SUN Haoran +3 more
doaj +2 more sources
Advanced Materials Technologies, EarlyView.Contemporary electronic devices produce significant waste, harming ecosystems. Innovation in design, consumption, materials, and end‐of‐life management is crucial. This review explores advanced materials for sustainable and responsible electronics, highlighting their potential to reduce environmental and health hazards while improving device ...
Rawan Omar +7 more
wiley +1 more source
Automatic ranking of information retrieval systems using data fusion [PDF]
, 2005 Rabia Nuray, Fazlı Can
openalex +1 more source