Results 201 to 210 of about 810,661 (307)
A Scalable Network of Concept Libraries Using Distributed Graph Databases
Jakob Beetz
openalex +2 more sources
MXene and MBene nanomaterials show significant potential in addressing critical challenges in biomedicine, applied biology, agriculture, and the environment. From a nano‐agricultural perspective, this relatively young field has witnessed emerging advances towards applications for plant‐immunoengineering, biostimulation, and controlled delivery ...
Alireza Rafieerad +3 more
wiley +1 more source
Herein, a systematic digital twin workflow tailored for generating high‐fidelity virtual representations of anisotropic composite microstructures and giga‐voxel meso‐structural models is presented, leveraging a harmonious integration of top–down image‐based modeling and bottom–up data‐driven voxel generation.
Siwon Yu +7 more
wiley +1 more source
Use of Graph Database for the Integration of Heterogeneous Biological Data. [PDF]
Yoon BH, Kim SK, Kim SY.
europepmc +1 more source
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 +3 more
wiley +1 more source
This study reports the first discovery of intrinsic mechanoluminescence in undoped AlN crystals, accompanied by pronounced photoluminescence and persistent luminescence. It further demonstrates a defect‐emission–driven multifunctional optical sensing platform for force, pressure, and temperature detection, achieving exceptional sensitivities.
Teng Zheng +11 more
wiley +1 more source
Towards FAIRer Biological Knowledge Networks Using a Hybrid Linked Data and Graph Database Approach. [PDF]
Brandizi M +3 more
europepmc +1 more source
Enhancing fraud detection in banking by integration of graph databases with machine learning
Ayushi Patil +5 more
openalex +1 more source
Learning Crystallographic Disorder: Bridging Prediction and Experiment in Materials Discovery
Machine learning based computational materials discovery workflows have recently proposed thousands of potentially stable crystalline materials. However, the experimental realization of these predictions is often challenging because the models assume perfectly ordered structures.
Konstantin S. Jakob +3 more
wiley +1 more source
Spfy: an integrated graph database for real-time prediction of bacterial phenotypes and downstream comparative analyses. [PDF]
Le KK +4 more
europepmc +1 more source

