Results 201 to 210 of about 26,565 (316)

Hierarchical Twin Networks Enable Exceptional Strength and Fracture Toughness in Titanium

Advanced Science, EarlyView.
A commercial‐purity titanium with hierarchical ultrafine twin structures delivers an exceptional combination of fracture toughness (KJIc) of 187 MPa·m1/2 and specific yield strength of 140 MPa·cm3·g−1, in which pre‐engineered high‐density twin boundaries stimulate massive and dislocations to blunt crack tip.
Xiao‐Wei Zou, Ting Zhu, En Ma, Wei‐Zhong Han   +3 more
wiley   +1 more source

Computational predictions of hydrogen-assisted fatigue crack growth. [PDF]

Int J Hydrogen Energy
Cui C, Bortot P, Ortolani M, Martínez-Pañeda E.   +3 more
europepmc   +1 more source

Fatigue Crack Growth Behavior and Fracture Toughness of EH36 TMCP Steel. [PDF]

Materials (Basel), 2021
Zhu Q, Zhang P, Peng X, Yan L, Li G.
europepmc   +1 more source

Xenogeneic Mitochondrial Transplantation Improves Selected Age‐Associated Phenotypes in Mice

Advanced Science, EarlyView.
Yak‐derived xenogeneic mitochondrial transplantation improves selected age‐associated phenotypes in mice, enhances mitochondrial functional readouts, and engages host mitochondrial quality‐control pathways. Broad tissue biodistribution, increased ATP production and mtDNA copy number, reduced ROS levels and dysfunctional mitochondria, improved motility ...
Wenpeng Li, Xijia Wang, Yaning Hu, Zhen Yang, Tian Niu, Xingbo Zhao   +5 more
wiley   +1 more source

Numerical Simulation of Fatigue Crack Growth and Fracture in Welded Joints Using XFEM-A Review of Case Studies. [PDF]

Materials (Basel)
Sedmak A, Grbović A, Gubeljak N, Sedmak S, Budimir N.   +4 more
europepmc   +1 more source

Training Deep Neural Networks with Novel Metaheuristic Algorithms for Fatigue Crack Growth Prediction in Aluminum Aircraft Alloys. [PDF]

Materials (Basel), 2022
Zafar MH, Younis HB, Mansoor M, Moosavi SKR, Khan NM, Akhtar N.   +5 more
europepmc   +1 more source

Machine Learning‐Driven Prediction of Microplastic Aging Processes and Environmental Risk Assessment Across Multi‐Media Systems

Advanced Science, EarlyView.
This perspective proposes a cohesive machine learning strategy to decode microplastic aging. It advocates for Federated Learning to dismantle global data silos and introduces the TRACE framework (TRansport, Aging, Corona, Ecotoxicity). By integrating physics‐informed modeling with causal discovery, this approach bridges the laboratory‐field gap to ...
Yaping Lyu, Xinran Qiu, Xing Li, Tianhuan Yang, Xuetao Guo, Hao Qiu, Peng Zhang   +6 more
wiley   +1 more source

Next generation fatigue crack growth experiments of aerospace materials. [PDF]

Sci Rep
Strohmann T, Melching D, Paysan F, Dietrich E, Requena G, Breitbarth E.   +5 more
europepmc   +1 more source

Fatigue Crack Growth Analysis under Constant Amplitude Loading Using Finite Element Method. [PDF]

Materials (Basel), 2022
Alshoaibi AM.
europepmc   +1 more source

All‐Flex Plasma Patch for In Vivo Delivery of Reactive Species

Advanced Science, EarlyView.
A fully flexible plasma patch enables stable, conformal treatment on complex biological surfaces and enhances transdermal delivery of reactive species. This platform achieves significant tumor suppression in vivo and reveals coordinated regulation of calcium signaling, metabolism, and programmed cell death, providing a promising strategy for safe and ...
Luxiang Zhao, Abulaihaiti Tuergong, Hanshu Yang, Shuang Xue, An Yan, Mingzhen Wang, Weilong Song, Wenzhe Si, Ruixue Wang   +8 more
wiley   +1 more source