Results 221 to 230 of about 1,745,305 (360)
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source
Study on the Influence of the Surface Altered Layer on Fracture Initiation and Load-Bearing Capacity of Gouged Pipelines. [PDF]
Yang H +5 more
europepmc +1 more source
The Application of Pulsating Resonance Fuel Burning during Steel- Teeming Ladles Drying and Heating Processes [PDF]
Gichov, Yu. A. +2 more
core
OxSpred, an eXtreme‐Gradient‐Boosting‐‐based supervised learning model, accurately annotates oxidative stress in innate immune cells at the single‐cell level, providing interpretable embeddings with significant biological relevance. This innovative tool revolutionizes the understanding of innate immune cell functions during inflammation and enhances ...
Po‐Yuan Chen, Tai‐Ming Ko
wiley +1 more source
Optimizing Image Segmentation for Microstructure Analysis of High-Strength Steel: Histogram-Based Recognition of Martensite and Bainite. [PDF]
Hallo F +4 more
europepmc +1 more source
Soft robotic arms are promising for gentle grasping but often rely on bulky actuation systems. This work presents a computational design framework that optimizes tendon number and routing to achieve target grasps with fewer actuators. Validated on an octopus‐inspired underwater arm, the approach enables efficient, underactuated soft manipulators for ...
Michele Martini +6 more
wiley +1 more source
Advances in Synergistic Corrosion Mechanisms of and Management Strategies for Impurity Gases During Supercritical CO<sub>2</sub> Pipeline Transportation. [PDF]
Yan Y +5 more
europepmc +1 more source
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi +5 more
wiley +1 more source
Effect of Temperature on Corrosion of HSLA Steels with Different Cr Contents in a Water-Saturated Supercritical CO<sub>2</sub> Environment. [PDF]
Ma Q +6 more
europepmc +1 more source

