Results 121 to 124 of about 634 (124)
Mechanical Behavior and Damage Evolution in Additively Manufactured Spinodoids
PAMM, Volume 26, Issue 1, March 2026.ABSTRACT This research focuses on the mechanical behavior and damage evolution of additively manufactured spinodoid metamaterials under quasi‐static loading. Additive manufacturing (AM), especially laser powder bed fusion (LPBF), enables the fabrication of complex geometries from digital models and is particularly suited for architected materials like ...
Vishal Sreenivasa, Michael Kaliske
wiley +1 more source
A comprehensive review of cluster methods for drug–drug interaction network
Quantitative Biology, Volume 14, Issue 1, March 2026.Abstract The detection of drug–drug interaction (DDI) is crucial to the rational use of drug combinations. Experimentally, DDI detection is time‐consuming and laborious. Currently, researchers have developed a variety of computational methods to predict DDI.
Shuyuan Cao +3 more
wiley +1 more source
MFCN‐DDI: Capsule network based on multimodal feature for multitype drug–drug interaction prediction
Quantitative Biology, Volume 14, Issue 1, March 2026.Abstract Precise prediction of drug–drug interactions (DDIs) is essential for pharmaceutical research and clinical applications to minimize adverse reactions, optimize therapies, and reduce costs. However, existing methods still face challenges in effectively integrating multidimensional drug features and fully utilizing edge features in molecular ...
Jiayi Lu +5 more
wiley +1 more source
Wind Energy, Volume 29, Issue 3, March 2026.ABSTRACT Wind energy's intermittency poses significant challenges for power grid stability. Existing forecasting methods exhibit notable limitations: traditional machine learning models struggle with long‐term temporal dependencies, while deep learning approaches often overlook spatial relationships among turbines.
YuChen Zhang
wiley +1 more source