Results 91 to 100 of about 9,116 (260)
Fatigue crack propagation and fracture toughness of cortical bone are radiation dose-dependent. [PDF]
Crocker DB +4 more
europepmc +1 more source
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
"Fatigue-Crack Propagation Behavior in Microcapsule-Containing Self-Healing Polymeric Networks". [PDF]
Fugolin APP, Ferracane JL, Pfeifer CS.
europepmc +1 more source
Employing a digital single‐molecule activity tracker (dSMAT), this research demonstrates that high‐photon‐flux irradiation drives progressive oxidative scarring in polymerases. Unlike simple thermal denaturation, real‐time kinetic tracking dynamically visualizes enzymes degrading into multiple impaired subpopulations.
Anran Zheng +11 more
wiley +1 more source
The resistance to near-threshold fatigue crack growth and its correlation with the microstructure of the Ti-5Al-3Mo-3V-2Zr-2Cr-1Nb-1Fe alloy were investigated.
Huan Wang +6 more
doaj +1 more source
Structural Features of Fatigue Crack Propagation of a Forging Die Made of Chromium-Molybdenum-Vanadium Tool Steel on Its Durability. [PDF]
Hawryluk M +5 more
europepmc +1 more source
Conventional single‐gradient freeze‐casting typically produces unidirectional porous architectures with limited transverse connectivity. The Sequential Hybridization by Infiltration and Freeze‐casting Technique (SHIFT) addresses this constraint by integrating secondary aligned structures within a preformed primary scaffold.
Kiho Sung, Sungchul Shin
wiley +1 more source
Investigation on the Fatigue Crack Propagation of Medium-Entropy Alloys with Heterogeneous Microstructures. [PDF]
Liu Y +5 more
europepmc +1 more source
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong +11 more
wiley +1 more source
Robust Determination of Fatigue Crack Propagation Thresholds from Crack Growth Data. [PDF]
Schönherr JA +6 more
europepmc +1 more source

